Statistical Analysis Jobs
Statistical Analysis is the practice of using data to identify, understand, and shed light on relationships between corresponding elements. Statistical Analysers specialize in using such data to draw conclusions and suggest potential strategies or next steps when doing research. To do this, they must be well-versed both in the domain and in the process of collecting, analyzing, and interpreting data.
Simply put, a Statistical Analyser is someone who can transform an overwhelming amount of data into clear insight. Whether it’s a medical research project or predicting particular outcomes from a set of variables, these professionals are able to get the information you need to take your project to the next level.
Here's some projects that our expert Statistical Analysers made real:
- Helping Psychology research uncover meaningful insights through accurate data interpretation
- Computing Shannon Entropy values for Probability Distributions
- Creating equations with sophisticated software packages such as R and SPSS
- Navigating Excel formulas to produce desired results
- Taking clinical data and forecasting mortality patterns
- Applying advanced mathematics such as Conjugate Gradient method
As illustrated above, finding reliable insight requires more than just a basic understanding of math and software packages. By hiring an experienced freelancer on Freelancer.com with an expertise in Statistical Analysis you can save yourself time, energy, and possibly money. So if you’re looking for reliable insight from a large set of data, why not post your project on Freelancer.com today? With our skilled Statistical Analysers, your success is pretty much guaranteed!
From 73,935 reviews, clients rate our Statistical Analysers 4.9 out of 5 stars.Hire Statistical Analysers
Statistical Analysis is the practice of using data to identify, understand, and shed light on relationships between corresponding elements. Statistical Analysers specialize in using such data to draw conclusions and suggest potential strategies or next steps when doing research. To do this, they must be well-versed both in the domain and in the process of collecting, analyzing, and interpreting data.
Simply put, a Statistical Analyser is someone who can transform an overwhelming amount of data into clear insight. Whether it’s a medical research project or predicting particular outcomes from a set of variables, these professionals are able to get the information you need to take your project to the next level.
Here's some projects that our expert Statistical Analysers made real:
- Helping Psychology research uncover meaningful insights through accurate data interpretation
- Computing Shannon Entropy values for Probability Distributions
- Creating equations with sophisticated software packages such as R and SPSS
- Navigating Excel formulas to produce desired results
- Taking clinical data and forecasting mortality patterns
- Applying advanced mathematics such as Conjugate Gradient method
As illustrated above, finding reliable insight requires more than just a basic understanding of math and software packages. By hiring an experienced freelancer on Freelancer.com with an expertise in Statistical Analysis you can save yourself time, energy, and possibly money. So if you’re looking for reliable insight from a large set of data, why not post your project on Freelancer.com today? With our skilled Statistical Analysers, your success is pretty much guaranteed!
From 73,935 reviews, clients rate our Statistical Analysers 4.9 out of 5 stars.Hire Statistical Analysers
I’m looking for a skilled academic writer to craft a full-length research paper in the field of Forensic Science. The work must follow proper scholarly structure—abstract, introduction, literature review, methodology, results or expected findings, discussion, and conclusion—supported by recent peer-reviewed sources. Key points I need you to consider: • Depth: the paper should demonstrate critical analysis of current techniques, trends, and challenges in forensic investigation. • Sources: cite only credible journals and conference proceedings published within the last five years, using APA formatting throughout. • Originality: the final draft must pass plagiarism checks and read as a cohesive, publishable study. • Clarity: use clear, concise lang...
i need someone to do my probability and statistics project using JASP Introductory Probability & Statistics Project Guide and write me a report based on the example given using one of the data set given Course: MATH 242 – Probability & Statistics 1. Project Objective The purpose of this project is to apply statistical concepts learned in class to real data, develop data analysis skills, and interpret statistical results clearly. 2. Dataset Assignment Each group is assigned one dataset. You must describe: · Sample size · Variables and types · Units · Data cleaning steps (if any) 3. Software Use the following: · JASP 4. Required Analysis – 7 points A. Descriptive Statistics Compute: · Mean · Standard de...
I’m a recent graduate preparing to apply for Data Analyst positions and I need a professionally written résumé that will help me stand out. I have basic academic and project experience but no full-time employment history, so the document has to frame my coursework, internships, and relevant skills in a way that passes ATS filters and appeals to hiring managers in analytics teams. Here’s what I’m looking for: • One- to two-page résumé in both editable Word/Google Docs and PDF formats • Clear, impact-oriented wording with data-driven achievements where possible • Section order and styling that follow current best practices for entry-level analytics roles • Optimised keywords for SQL, Python, Excel, Tableau, statistics a...
Someone has taken my personal photos and opened an Instagram account in my name. I need concrete proof of who is behind the profile—specifically the person’s real, legal name and their current location. At the moment I have no useful leads beyond the existence of the fake account, so the investigation will have to start from scratch. I am expecting a concise report that includes: • The verified full name of the individual operating the Instagram profile • A traceable location (city and—if reasonably obtainable—street-level accuracy) backed by clear evidence or data points Please outline the methods you plan to use (OSINT, metadata analysis, reverse-image search, social-graph research, etc.) and an estimated timeline. All work must remain within ...
I need a phylogenetic tree constructed using DNA sequences. The preferred software for this is MEGA. Requirements: - Proficiency in using MEGA. - Experience with phylogenetic analysis and tree construction. - Familiarity with interpreting DNA sequence data. Ideal Skills: - Background in bioinformatics or evolutionary biology. - Attention to detail and accuracy in data analysis. Please provide examples of similar work done.
I have a sizeable set of heart-rate data that needs a professional eye. The task is strictly analytical—I am not after personal training sessions or rehabilitation plans, but a focused review of the data itself. Your brief is to take my raw files (CSV / Excel export from a popular wearable) and turn them into a clear, insight-rich report. Scope of analysis • Resting heart rate trends over time • Heart rate variability statistics and interpretation • Exercise heart rate patterns, including peaks, recovery curves, and intensity zones What I expect back 1. A concise written report (PDF or Word) explaining your methods, key findings, and practical implications. 2. Cleaned and annotated data files so I can trace every result. 3. Visualisations—time-serie...
I have a sizeable set of heart-rate data that needs a professional eye. The task is strictly analytical—I am not after personal training sessions or rehabilitation plans, but a focused review of the data itself. Your brief is to take my raw files (CSV / Excel export from a popular wearable) and turn them into a clear, insight-rich report. Scope of analysis • Resting heart rate trends over time • Heart rate variability statistics and interpretation • Exercise heart rate patterns, including peaks, recovery curves, and intensity zones What I expect back 1. A concise written report (PDF or Word) explaining your methods, key findings, and practical implications. 2. Cleaned and annotated data files so I can trace every result. 3. Visualisations—time-serie...
I’m working through a statistics assignment that must be solved and documented entirely in Excel, and I’d like a skilled tutor to guide me through it. The questions cover core undergraduate material—think probability concepts, simple regression, and hypothesis tests—yet everything has to be demonstrated with the appropriate Excel techniques (e.g., built-in formulas, manual calculations set up in the sheet, charts where useful). Here’s what I need from you: • A clear, walk-through solution for each problem inside one workbook, with explanatory notes that make the reasoning easy to follow. • A brief call or chat after delivery so I can be sure I understand every step and can replicate the method on future assignments. When you respond, highli...
I have a full set of microbiological data collected for a water-quality assessment and I need it shaped into a clear, technically sound report. The raw figures, sampling notes, and any supporting spreadsheets are ready; what I’m missing is a polished document that walks the reader from methodology through to conclusions in a format suitable for regulators and internal stakeholders alike. Here is what I’m after: • A well-structured report (abstract, introduction, methods, results, discussion, conclusion, references) written in plain, professional English • Accurate interpretation of colony counts, indicator organisms, and compliance thresholds in line with standard water-quality guidelines • Visually clean tables or graphs that present the key trends at a gl...
I have a set of annotated screenshots that capture every element of an existing TradingView strategy, but no source code. Your job is to translate those images into a clean, fully functioning Pine Script Strategy that behaves exactly like the original: same plots, same signals, same back-test results. You will receive the screenshots and a brief explanation of the intended logic as soon as we start. I expect: • A single .pinescript file written in Pine v5 • Settings, inputs and plots matching what appears on my charts • Comments in the code so I can follow the logic and tweak parameters later • A short note comparing your back-test metrics to the ones visible in my images to confirm the match Please send me a private message that includes at least one TradingVi...
I am looking to hire a Power BI freelancer based in Riyadh, Saudi Arabia, for on-site work to build an HR dashboard for the Employee Relations department. The dashboard will centralize employee relations data, including personal information, employment details, medical insurance tracking, HR operational data, offboarding tracking, and cost analysis. The freelancer must create a clean and structured data model from multiple Excel files and design interactive dashboards with filters and KPIs. Prior experience with HR or employee lifecycle dashboards is highly preferred. Key Requirements: - Must be based in Riyadh (on-site work only). - Expertise in Power BI (data modeling and dashboards). - Advanced Excel integration and data cleaning. - Professional and user-friendly visuals.
I need an AI Expert to help me in my Project, within a month. I have carried out the Analysis part of the Project. The AI person needs to recommend a relevant Model and help with 'how to do' part. This is based on a medical istrument performance analysis.
I need a clean, well-structured Excel workbook that lets me drop in raw performance-metrics data and immediately see customer segmentation, trend analysis, and behavioural insights without any extra manual work. Structure & flow • One “Raw_Data” tab where I can paste or Power-Query-refresh the latest export. • A calculation layer (hidden or clearly marked) that handles all formulas, dynamic named ranges, and any DAX/Power Pivot measures you think will keep things fast. • Separate, presentation-ready dashboards: – Segmentation: break customers into meaningful tiers or cohorts and surface key KPIs for each. – Trend Analysis: month-over-month and YTD views, spark lines, variance indicators. – Behavioural Analysis: visualise e...
This assignment is a hands-on data assessment and evaluation. It exposes you to the various steps that data analysts go through when they receive a dataset. This is an individual assignment. Each student is expected to complete the assignment and submit their own work. Assignment Deliverable The submitted report should include a detailed discussion of the techniques you used to answer each question (see below). Include only relevant graphs and tables along with a thorough interpretation of each. Graphs and/or tables with no explanation/interpretation will not be graded. Hand in your work in a Word or PDF format. Dataset for the Assignment Download the (see attached file) It has a sample size of 70. Assignment Objective The main objective of this assignment is to develop a better under...
25. 1、 Title: Research on an Explainable Model of the Impact of Intracranial Artery Plaque Characteristics and Burden Based on High-Resolution Vessel Wall Imaging on Cerebral Tissue Perfusion(Need to combine information) 2、 Journal partition: SCI q2 3+OA journals I need you to match 3-5 journals based on my topic, and I may submit them based on the journals you provide me with in the future, 3、 Writing requirements: Write according to my paper title and journal requirements, and provide necessary journal requirements documents, including an AI plagiarism report Turnitin (Artificial Intelligence) (1) Word count: 5000-8000 words (2) Formulas and symbols: cannot exist in image format, nor can they be created using Word's formula editor. Please format all formulas using MathType to ensu...
Assignment overview Assignment 2A comprises a worksheet. The worksheet requires you to complete a series of readings and then answer six questions on the Cognitive Effort Discounting Paradigm, the Need for Cognition scale, the Boredom Proneness Scale, and the Motivational Trait Questionnaire This assignment is designed to assess your ability to analyse and interpret data. You will need to have completed the activities in Week 6 to attempt this assignment. The mark recorded for this worksheet will be a mark out of 30, which is worth 25% of your Assignment 2 mark, which corresponds to 10% of your final mark in this unit. The content must sit comfortably at second-year undergraduate complexity: concepts should challenge students who already know the basics but should not drift into graduate...
I’m finalising my TMA04 maths submission and need clear, correct answers for the algebra-based questions only. Every problem revolves around algebraic reasoning, so there is no calculus or statistics work involved. What I expect • A neatly written set of step-by-step solutions, showing the reasoning used for each answer. • Brief explanations beside each step so I can follow the logic and reference it in my write-up. • Delivery in a single, well-organised PDF (or an editable format if that’s easier for you). When you respond, focus on your algebra experience—let me know how often you tackle similar assignments and any results that demonstrate accuracy and clarity. No need for lengthy proposals or a portfolio dump; a concise note outlining your releva...
I have just completed a full-scale audit of a professional football club as part of my Master’s programme and, in the role of an aspiring Sporting Director, I now need to turn that audit into a set of realistic, evidence-based recommendations focused squarely on improving team performance. The club’s board expects a document that translates analysis into clear action, so your job is to help me craft a strategic plan that they can adopt immediately. Scope of the plan • Player training and development – refine periodisation, individual development plans and use objective workload monitoring. • Coaching strategies – align game model, session design and feedback loops with the squad’s technical profile. • Medical and injury prevention –...
I'm looking for an expert in SPSS to perform descriptive statistics on a mixed dataset (both categorical and numerical). The data is sourced from existing secondary datasets. Ideal Skills and Experience: - Proficiency in SPSS - Strong background in statistics, particularly descriptive statistics - Experience working with both categorical and numerical data - Familiarity with handling and analyzing secondary data If you have a keen eye for detail and can deliver accurate and insightful statistical summaries, I'd love to hear from you. Please provide examples of similar work done in your bids.
I need you to build this project as a full functional web-based diploma prototype, with the machine learning part designed to be more accurate, more reliable, and more realistic in practice. The project is: **Development of a web system with MySQL and integrated machine learning for the preliminary classification, prioritization, and statistical analysis of suspicious death cases in Albania, with mandatory expert verification and correction.** Use this stack only: * Backend: Python Flask * Database: MySQL * Frontend: HTML, CSS, Bootstrap 5 * Charts: * ORM: SQLAlchemy * Auth: Flask-Login * Validation: Flask-WTF or equivalent * Password hashing: Werkzeug security * Machine Learning: scikit-learn * Model saving: joblib * Data processing: pandas, numpy Very important requirements: 1. **...
I need a concise hydraulic-modelling package that will satisfy our local planning officer that the site of an office-to-flat conversion lies in Flood Zone 3a, not 3b. The study area is a single plot in the UK; the end goal is a signed technical note (and supporting model files) that can be dropped straight into the planning submission. Scope • Set up and run an industry-recognised 1-D or 2-D model of the adjacent watercourse. I am open to whichever platform you judge most suitable—HEC-RAS, TUFLOW, Flood Modeller or another established package—as long as the outputs meet Environment Agency guidance. • Derive peak water levels and extents for the standard design events, demonstrate that functional floodplain criteria are not met, and clearly map the 3a boundary acr...
I have a dataset containing demographic details, job performance records and results from employee-engagement surveys. Your task is to turn this raw information into a reliable attrition-prediction pipeline. Work starts with careful cleaning and preprocessing: handle missing values, encode categorical variables, standardise or normalise where needed and document every step so the workflow is fully reproducible. A brief exploratory analysis should follow to highlight key attrition drivers and verify data quality before modelling. For the classifier, I’d like you to focus on K-Nearest Neighbours. If you find that another algorithm beats KNN convincingly, feel free to present the comparison—but please include KNN in the final report. Train, tune and validate the model, then eval...
****** ONLY SERIOUS PEOPLE PLEASE APPLY ********** For my current research project I need a fresh, geographically segmented set of quantitative survey data. The questionnaire is already drafted—roughly twenty close-ended items—and I’m ready to put it in the fintech field. Your role is to gather reliable responses, and return a clean data file I can drop straight into my analysis workflow. I VALUE QUALITY DATA THAN JUST JUNK DATA Deliverables • Host or distribute the survey (Qualtrics, Google Forms, SurveyMonkey, etc.) and reach respondents across the specified regions. • Secure at least 500 valid completes, with balanced regional representation and no bots, duplicates, or straight-lining. • Provide a final CSV plus a brief fieldwork memo detailing m...
I need assistance with multiple regression analysis using JASP. The data is from a survey and involves an ordinal dependent variable with 3-5 independent variables. Requirements: - Proficiency in JASP - Experience with multiple regression analysis - Ability to interpret and present results clearly Ideal Skills: - Statistical analysis expertise - Familiarity with survey data - Strong analytical skills Please provide a sample of similar work done.
I have pre and post survey data and I need to convert both spreadsheets into binominal data so I can run stats.
I have a set of raw transactional records sitting in several CSV files. I need them imported into Power BI, cleaned, and reshaped into a star-style model. The core relationships I must see are Customer → Orders and Region → Revenue; anything else you add for best practice is welcome provided it remains documented. Once the model is in place, create DAX measures for: • Total revenue • Number of orders • Distinct customers • Return rate With those measures, build visuals that show: • Revenue distribution by region • Seasonal revenue patterns (month and quarter) • Any revenue-concentration risk—e.g., regions or customers that contribute a disproportionate share • Key performance trends over time I will consider the job c...
I have an urgent assessment to finish and need a specialist who truly understands Workforce Management logic inside Excel. You will receive one raw workbook that already holds the time-stamped data and all supporting assessment figures. Your main job is to turn that sheet into a clear-cut capacity-planning model, then walk me through the reasoning so I can present it with confidence. Here is what I am looking for: the model must calculate staffing requirements, shrinkage, occupancy, service-level projections and any other standard metrics you normally include for solid capacity planning. Forecasting and scheduling elements sit right behind this priority, so design the file in a way that lets me easily extend it to those areas. Accuracy is essential, but speed matters even more; I need fir...
25. 1、 Title: Research on an Explainable Model of the Impact of Intracranial Artery Plaque Characteristics and Burden Based on High-Resolution Vessel Wall Imaging on Cerebral Tissue Perfusion(Need to combine information) 2、 Journal partition: SCI q2 3+OA journals I need you to match 3-5 journals based on my topic, and I may submit them based on the journals you provide me with in the future, 3、 Writing requirements: Write according to my paper title and journal requirements, and provide necessary journal requirements documents, including an AI plagiarism report Turnitin (Artificial Intelligence) (1) Word count: 5000-8000 words (2) Formulas and symbols: cannot exist in image format, nor can they be created using Word's formula editor. Please format all formulas using MathType to ensu...
I have several months of raw sales data that I need turned into clear, actionable insight. The sole focus is to identify meaningful trends—seasonality, product-line performance, regional differences, and any other patterns that stand out—so I can make smarter business decisions. Here is what I will hand over: the complete sales dataset exactly as it sits today. If you are comfortable working in Excel/CSV, databases, or cloud-based tables, great—I can supply the files in whichever of those formats you prefer. Here is what I expect back: • A concise analytical report (PDF or slide deck) highlighting the key trends you discover, complete with charts or visualisations. • A clean, well-commented workbook or script so I can replicate or extend the analysis later...
I need to compile a clear, reliable picture of how female freelancers are distributed, what skills they market, typical earnings ranges, and any notable growth patterns across major regions. The job starts with data extraction: pull publicly available information from leading freelancer platforms, professional networking sites, and other open repositories. After cleaning and de-duplicating the records, the next step is to analyse the dataset—producing descriptive statistics, trend plots, and concise written commentary that highlights regional hot-spots, in-demand skill sets, and any gaps or opportunity areas. Please deliver: • A CSV or Excel file containing the raw and cleaned datasets, accompanied by a short data-dictionary. • An analytic report (PDF or slide deck) that...
I am preparing the full Clinical Study Report for a Phase I trial and need an experienced medical writer to take my source documents and turn them into a polished, regulator-ready CSR. The protocol, raw tables, listings, and figures are all available; what’s missing is the clear, compliant narrative that follows ICH E3 structure, weaves in the safety and PK results, and anticipates questions from ethics committees and health authorities. Here’s what I’m expecting: • A draft CSR that follows ICH E3 headings, integrating synopsis, methodology, subject disposition, safety findings, pharmacokinetics, and conclusions • One round of revisions after my clinical team’s review • A final, submission-ready PDF and an editable Word version, with correctly nu...
I have a set of raw financial figures that still need a bit of tidying before they can reveal their story. Once the data is properly formatted in Excel, I need clear, well-labeled outputs for these descriptive measures: mean, median, plus the full spread of quartiles and percentiles. Please structure the workbook so that the cleaning steps (date or currency standardisation, removal of blanks, etc.) are transparent, then create the calculation area—whether that is with built-in functions, dynamic arrays or PivotTables is up to you, as long as the results update automatically when new records are dropped in. Deliverables: • A single Excel file containing: – A “Raw_Data_Clean” sheet with all prep formulas in place – A “Stats_Summary&rdquo...
Customer Churn Analysis & Prediction Project Overview Conducted an end-to-end Customer Churn Analysis project to identify patterns and predict customer attrition. Focused on both data exploration (EDA) and machine learning modeling to generate actionable business insights. Aimed to help businesses reduce churn, improve customer retention, and increase profitability. Dataset Details Dataset includes customer demographic, financial, and behavioral features: RowNumber, CustomerId, Surname CreditScore, Geography, Gender Age, Tenure, Balance NumOfProducts, HasCrCard, IsActiveMember EstimatedSalary Target Variable: Exited (Churn Status) Tools & Technologies Python Libraries: pandas, numpy (data processing) matplotlib, seaborn (data visualization) scikit-learn (ML modeling) Advanced Te...
I have several Excel spreadsheets filled with statistical entries recorded on different dates. I need the date columns repaired and standardised first, then a reliable way to compare each entry across the sheets so perfect matches surface immediately. Once the data is aligned, A small dashboard or set of charts inside the workbook is perfect; I want to see the movement at a glance. Everything must stay in .xlsx format. Use familiar Excel tools—formulas, conditional formatting, PivotTables, maybe Power Query if it speeds up the cleaning—so I can inspect or tweak them later. Deliverables: • Cleaned and consistently formatted spreadsheets • Automated comparison logic for the date-based entries • Standard deviation results for each metric • Tren...
I’m racing against a submission deadline and need a skilled academic writer to guide me through the entire process of my master’s thesis in Business and Economics. This is a personal academic project, so every page must be original, well-researched, and formatted to university standards. Here’s what I’m aiming for: • Plagiarism-free with proper citation and references (APA 6th edition) Timeline is tight, so I’ll expect an outline within days, steady chapter deliveries on agreed milestones, and responsive revisions until the final manuscript is ready for submission. If you have proven experience with Business and Economics theses, statistical tools like SPSS/Stata/R, and can keep calm under pressure, I’d love to work with you.
Hi I will share the details with the shortlisted candidates. Thanks
I am preparing a quantitative study on “Inequality in participation versus visibility in online communities” . The raw material will come from one or more publicly-available Kaggle datasets; the challenge is to turn those data into a coherent, publication-level research project. Here is what I need from you: • Help me locate or combine the right Kaggle datasets, then document the download and preprocessing steps (Kaggle API, Python pandas, or R tidyverse are fine). • Define robust operational metrics for participation (e.g., post frequency, comment depth) and visibility (e.g., up-votes, follower counts, ranking on leaderboards). • Build the analysis pipeline—cleaning scripts, exploratory statistics, and the main inferential models (regression, GEE, or...
Hi, I am looking for a quantitative analyst or researcher who has an active Pro or Premium account on Before applying, please confirm that you already have a paid subscription and that you actively use the platform in your research or strategy development. Thank you.
We are seeking a skilled data analyst to assist with the following tasks: - Data cleaning and preprocessing, including handling missing values and duplicates. - Conducting Exploratory Data Analysis (EDA) to identify trends and actionable insights. - Building interactive dashboards and reports using Power BI. - Generating actionable business insights to support decision-making. Preferred Tools/Software: - Excel (advanced formulas, pivot tables) - SQL (data extraction and querying) - Python (Pandas, NumPy, Matplotlib) - Power BI The project is expected to be completed within 2 to 3 weeks, depending on complexity. The fixed budget for this project is ₹20,000, with slight flexibility based on scope and quality.
I'm seeking a detailed 22-page AP style research article linking Facebook to youth depression among teenagers aged 13-19. The paper should be well-researched and focus on the following key areas: - Psychological effects of Facebook on youth - Social media usage patterns among teenagers The research should primarily utilize peer-reviewed journals as sources. Ideal candidates will have: - Proven experience in academic writing, especially in the social sciences - Strong research skills with access to academic databases - Familiarity with AP style formatting Please include relevant qualifications and prior work samples in your bids.
I am getting ready to draft a quantitative paper for a Scopus-indexed journal and need one-on-one coaching in SPSS. I am a complete beginner, so please assume no prior syntax knowledge. The first milestone must center on Exploratory Factor Analysis (EFA): importing data, screening it, choosing extraction and rotation methods, interpreting the output, and writing the results section in publication style. Once EFA is clear, we will move on to Confirmatory Factor Analysis (ideally through SPSS AMOS or an equivalent plug-in) and finally to full Structural Equation Modeling. I learn best through live screen-sharing sessions backed by annotated SPSS syntax and concise, step-by-step notes that I can reuse when writing the methods and results sections. By the end of our work I should be able to...
I trade Nifty-50 index options intraday, lean heavily on price action, EMA levels, IV and the Greeks, and have logged more than four years refining a rules-based approach that already gives me clear entries and exits. Where I want fresh eyes is on the risk side. At the moment every position is protected only with fixed stop-loss orders; I want to know whether the same edge can be kept—or improved—while lowering drawdowns and sharpening my capital deployment. Here is what I need from you: • Review the core of my strategy (I will share the exact rules, data sources and recent trade logs). • Propose and test alternative risk management frameworks—dynamic stops, volatility-adjusted position sizing, tiered exits or anything else you feel would add stability. &...
I will supply a complete survey dataset and need it transformed into a publish-ready scientific paper. Your task starts with cleaning and screening the data in SPSS, then running the analyses that best reveal overall trends and patterns. Descriptive statistics, reliability checks, charts, and any other exploratory procedures you judge valuable should all feed into a clear narrative of the findings. Interpret the results in straightforward language, link them back to the study purpose, and craft the full manuscript sections—Abstract, Introduction, Method, Results, Discussion, and References—formatted to the standards of a peer-reviewed journal in my field. Throughout the job, please keep every SPSS step reproducible by sharing the .sav file, syntax file, and output viewer fil...
Hi I will share the details with the shortlisted candidates. Thanks
I need help taking our merchandise planning to the next level by zeroing-in on inventory management. The scope centres on three pillars: creating a robust Open-to-Buy (OTB) framework, tightening our Sales & Operations Planning (S&OP) cycle, and establishing clear minimum store quantity (MSQ) rules that trigger timely replenishment. You’ll start by reviewing our historical sales files, current stock position and vendor lead-time data, then translate those insights into practical tools we can run in-house—Excel or Google Sheets models are fine, but the logic must be easy to port into our ERP later. Deliverables • Dynamic OTB calculator that rolls forward each period and highlights buying capacity versus plan. • End-to-end S&OP template linking demand...
I already have the raw numbers split across two worksheets in a single Excel file: one tab holds the Project Manager’s recorded man-month costs, the other the tender’s planned man-months. What I need is a concise, decision-ready workbook that lets me see — at a glance — where we are over or under the original plan. Key points you will work with • Any line item showing a value below £1 000 is noise for this exercise; please exclude it so the analysis reflects only genuine working man-months. • The single comparison I care about is total man-months vs planned man-months. • For visuals, I’m looking for clear man-month histograms (or whatever variant you feel best conveys planned vs actual) accompanied by well-labelled tables. Delive...
I’m expanding our engineering team at LaRevela, the Web3 identity and visitor-intelligence platform for eCommerce, and I need a skilled technical recruiter who is already on the ground in China. Your mission is to identify and secure a mid-level Full-Stack Blockchain Developer who excels at full-stack development and seamless Web3 integration. What the ideal hire must bring: solid, hands-on JavaScript, Python, and Solidity experience, plus a track record of shipping blockchain-enabled products that actually reach users. You’ll handle the entire funnel—sourcing across local and remote talent pools, screening for technical depth, coordinating interviews, and guiding compensation conversations in line with our global structure. Deliverables I expect from you: • A ve...
I need assistance with manual counting of bacterial colonies on agar plates. Each plate has an expected count of 300+ colonies. Requirements: - Experience with manual counting techniques - Familiarity with agar plates - Attention to detail and accuracy Ideal Skills: - Background in microbiology or related field - Ability to work efficiently with high-density plates
I am building a decision-support tool that acts like an investment banker for hospital deals. The workflow starts with raw historical statements—revenue, profit, cash flow, debt and related line items—pulled in from spreadsheets or a database. I need this data to be cleaned and validated automatically so that outliers, missing values and inconsistent formats are handled without manual intervention. Once the dataset is in shape, the system must calculate core ratios—operating and EBITDA margins, liquidity and leverage indicators, year-over-year growth rates, cash conversion, risk flags—and feed them into a machine-learning pipeline. I have no fixed allegiance to any one algorithm, but I would like to begin with a solid linear regression benchmark and keep the door...
Financial Analytics Dashboard Power BI Business Insights and KPI Tracking I developed a Financial Analytics Dashboard to help businesses track performance, monitor KPIs, and make data-driven decisions. Key Features: Profit and Loss Analysis (Revenue, Cost, Net Profit) Budget vs Actual comparison Monthly and Year-to-Date (MTD/YTD) insights Job analysis (Active, Closed, Aging) Receivables and Payables tracking Interactive filters (Region, Country, Department, Currency, Year) Dashboard Insights: Operating Income and Net Profit After Tax Revenue vs Budget comparison Cost analysis with variance tracking Job performance and aging insights Financial health indicators (Receivables and Payables) Tools Used: Power BI, Excel, Data Modeling, DAX Outcome: Identify financial trends Track perform...
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