Statistical Analysis Jobs

I want to build a small desktop or web tool that gives me real-time predictions for 1Win’s Lucky Jet game and its Mines variation. The core of the job is an algorithm that reads the live stream of crash multipliers, learns from historical rounds, and then outputs an on-screen indicator a few seconds before the next take-off. To make the numbers trustworthy, the system has to: • pull or accept past-round data automatically, run statistical analysis, and refresh its model continuously; • display the current confidence level and suggested cash-out point in an intuitive interface (a simple panel or overlay is enough); • include a parallel module for Mines that estimates safe tiles in real time using the same data ingestion pipeline. Real-time prediction is the ...

I have several raw datasets from different business systems that need to be turned into a single, reliable source of truth before we explore the story hidden inside. For the cleaning phase I’ll rely on both Python (think pandas, NumPy, Jupyter notebooks) and advanced Excel techniques such as Power Query and dynamic arrays—whichever makes the job faster and more transparent for later hand-off. All tables ultimately live in MySQL, so you’ll be writing efficient joins, sub-queries, and window functions directly against that database to create analysis-ready views. Performance matters; I want the queries optimized and commented so they can be reused by the in-house tech team. Once the data is shaped, the next step is to craft an interactive, executive-level dashboard in Pow...

I need concise, actionable insights into how shoppers feel about a select set of everyday consumer goods. The core of the job is to design and run short online surveys or questionnaires, capture the responses accurately, and deliver a clear summary of customer preferences. Because this is a small, straightforward project, speed and attention to detail matter more than fancy visuals. I’ll share the exact product categories and any wording guidelines once we start chatting. Looking forward to seeing how you can turn quick survey data into usable insights!

I am launching a formal research project that explores how educational technology is influencing learning outcomes and classroom practices. The core of the work will be educational research rather than course design or student assessment, so I need someone comfortable digging into peer-reviewed literature, collecting or curating relevant data, and synthesising findings into a clear, evidence-based report. What I will provide: the research questions, initial reading list, and any institutional guidelines that must be followed. What I would like from you: a concise plan for gathering sources, transparent documentation of your search strategy, and periodic briefs so I can track progress and adjust scope if new themes emerge. Please highlight the experience you have that is directly rele...

About the project We are running an animal behavior study with a custom wearable motion logger. An observer marks specific behavioral events in real time. We want to find out whether these events can be detected automatically from the motion signals and, if so, build a detector that runs in real time. Further background will be shared after an NDA is signed. The key question Can event moments be reliably distinguished from non-event moments at a similar level of physical activity, using tail and body motion alone? Data we provide - Sensors: two MPU6050 IMUs (3-axis accelerometer + 3-axis gyroscope), one on the tail and one on the torso as a body-motion reference. Both are sampled in the same tick (<1 ms skew). - Settings: 100 Hz sampling, on-chip low-pass filter at 20 Hz, acceleromete...

Audit of ML and econometric models on financial time series (Python, freelance) A quantitative research platform trains 24 model families every night on daily market data, walk-forward, across about 1,000 assets. We are looking for an independent expert to check that these models are implemented correctly and evaluated honestly. The work * ML models: XGBoost, LightGBM, Random Forest, Extra Trees, regularized linear models, SVR, MLP, LSTM, TCN. * Econometric models: GARCH, EGARCH, GJR-GARCH, SARIMAX/ARIMA, VAR, VECM, Kalman. * What to check: does each model do what its configuration says? Are the hyperparameter search spaces (Optuna) suitable for financial targets, and is the search free of look-ahead? * Model collapse: find where a fit degenerates into a constant predictor (the mean, stump...

Hi! I’m looking for a knowledgeable tutor to help me over the coming weeks with some advanced quantitative and data-driven topics. What we will be working on: - Statistics & Regression: Hypothesis testing (one/two-sample), non-parametric tests, linear & logistic regression, and generalized linear models (GLMs). - Python Optimization: Formulating optimization models (Linear & Integer Programming) and solving them in Python using the PuLP library. - Simulation Methods: Monte Carlo simulation and basic discrete-event simulation concepts. What I'm looking for: - Online 1-on-1 support to go through problem sets, study materials, and practice exercises. - Help understanding complex math/statistical concepts step-by-step. skills: Statistics Python Mathematics Statis...

Quant Developer for a Crypto Trading Bot: Strategy Research and Development (Python, React/Node) About the project A working crypto trading bot with a web dashboard. It paper-trades 12 coins on exchange data (15m to 1D candles) and can trade real funds on Base through Uniswap, with every trade confirmed in MetaMask. It already has: 12 strategies (RSI, Bollinger, Supertrend, trend filter, momentum, whale-flow copy trading and more) backtesting with fees and slippage an optimizer that tunes on older data and tests on newer data it never saw Auto-pick, which chooses the strategy that held up on that unseen data What you'll do Research, build and test new trading strategies, and improve the existing ones. Prove each strategy holds up on data it wasn't tuned on (walk-forward testin...

I'm looking for an experienced researcher to conduct a systematic review focused on cardiovascular studies. The review should include both randomized controlled trials and observational studies, with a specific focus on mortality rates as the primary outcome measure. A meta-analysis component is also required. Key Requirements: - Comprehensive literature search and data extraction - Critical appraisal of included studies - Statistical analysis for meta-analysis - Detailed report writing Ideal Skills and Experience: - Expertise in systematic reviews and meta-analysis - Strong background in cardiovascular research - Proficiency in statistical software (e.g., RevMan, STATA) - Excellent writing skills for academic publications Please provide samples of previous work and relevant qualif...

I have a sizeable set of customer data and I want to turn it into clear, actionable insight that will directly improve our customers’ experience when they contact support. Your task is to take this raw information, clean it, explore it and surface the patterns that show where our service interactions delight—or frustrate—people. I am interested solely in customer-related records; sales figures and survey metrics outside that scope are not part of this engagement. The end goal is a concise narrative that tells us how to raise satisfaction levels, cut response times and pinpoint any pain-points hidden in the current workflow. To keep things focused, I will need: • A brief outline of the preprocessing steps so the work is reproducible • Visualisations or dashbo...

I’m preparing a predictive analytics initiative for a finance-focused dataset stored in traditional relational tables and well-formatted spreadsheets. The core objective is to turn this structured historical information into forward-looking insights—think probability scores for default, churn, or other key risk and revenue indicators. You will take ownership of the full machine-learning pipeline: data ingestion from CSV/SQL sources, exploratory analysis, feature engineering, model selection and training, validation, and a concise performance report. I expect reproducible Python code (preferably using pandas, scikit-learn, XGBoost or similar), clear comments, and a short write-up that explains both the methodology and how to refresh the model with new data. Deliverables: &bull...

I need an analysis comparing youth sports participation and delinquency using Add Health data. The focus should be on understanding how engaging in sports might correlate with or impact delinquent behaviors. Key Requirements: - Analyze correlation between sports participation and delinquent behaviors such as substance use, violent behavior, or property crimes. - Use appropriate statistical methods (e.g., regression analysis, correlation analysis, ANOVA). - Focus on specified youth age groups (pre-teens, teens, young adults). Ideal Skills and Experience: - Strong background in statistics and data analysis. - Experience with Add Health dataset or similar. - Proficiency in statistical software (e.g., R, SPSS, Stata). - Ability to interpret and present findings clearly.

I'm seeking an expert to analyze over-the-counter (OTC) stock options for profit forecasting. The analysis should focus on the following key metrics: - Volatility - Strike price - Expiration date Ideal skills and experience: - Strong background in options trading, particularly OTC options - Proficient in financial modeling and profit forecasting - Experience analyzing market volatility and its impact on options - Ability to provide clear, actionable insights based on data analysis Please include any relevant work experience in your bids.

I’m preparing a new project that calls for a seasoned eye on my raw data. The exact format of the files may range from neatly structured spreadsheets to more free-form text exports, so I’ll need someone comfortable pulling insights no matter how the information arrives.

I need a clear, independent audit of my stock-portfolio model that focuses strictly on performance evaluation—no compliance or risk review at this stage. You will dig into the historical trades, benchmark the returns, and validate the calculations behind metrics such as CAGR, Sharpe/Sortino ratios, alpha, beta, and drawdown figures. Your analysis should culminate in two concise deliverables: • A spreadsheet (Excel, Google Sheets, or Python notebook) that recreates the performance calculations step-by-step so I can trace every formula. • A short written report (PDF) that interprets the numbers, highlights any discrepancies you find, and offers recommendations to improve reporting accuracy. I already have transaction data, benchmark indices, and the original model log...

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I have a batch of survey responses—some come in neat, predefined fields while others are free-form paragraphs. I need every word transferred accurately into a clean, analyzable spreadsheet or database, with the structured parts preserved exactly as they appear and the open-ended comments copied in full. Once the entry is finished, I’d like a concise statistical summary of what the data can immediately tell us (frequency counts, word totals, basic descriptive insights). If you spot a smarter way to slice the information while you work, feel free to flag it; I’m open to suggestions before we finalise the numbers. Deliverables • Clean, well-labeled data file (Excel, CSV or Google Sheet) containing all textual responses • Brief statistical snapshot of the data...

I have a stack of completed paper-based surveys that first need to be digitised and then explored through solid statistical analysis. Your task begins with accurately keying every response from the paper forms into a clean, well-structured spreadsheet (Excel or CSV, whichever you prefer). Once the dataset is ready, I want to move straight into statistical analysis—means, medians, standard deviations, cross-tabs, significance testing where appropriate—so I can confidently report on the findings. I will consider the job complete when I receive: • A fully validated digital dataset that mirrors the original paper responses • A concise statistical report (tables, clear commentary, and any supporting charts) delivered in PDF or an editable format • The working fil...

I am seeking an experienced 1D/2D hydraulic flood modeller to assist with a UK planning case in Egham, Surrey, England. The work will involve obtaining and re-running the relevant Environment Agency Lower Thames hydraulic model, incorporating detailed topographical data and a more accurate representation of buildings and urban features along a short section of Egham High Street. The objective is to reassess predicted flood extent, depth, velocity, hazard and time-to-inundation along a pedestrian evacuation route and produce modelling suitable for review by the Environment Agency / UK planning authorities. A comprehensive technical information pack will be provided, including: -existing FRA -detailed topographical data -existing EA flood modelling outputs -flood warning / evacuation in...

I need my raw data transferred with 100 % accuracy into either SPSS or Stata, checked for consistency, and then summarised visually. Once the entries are validated, please generate clear, publication-ready charts and graphs in Microsoft Excel that highlight the principal descriptive statistics. Deliverables • A cleaned and fully labelled .sav or .dta file • An Excel workbook containing the charts/graphs (with underlying data tables) • A brief log of any anomalies or assumptions made during entry and validation I will supply scanned questionnaires and existing digital files. I’ll be on hand to clarify variable names, coding frames, or specific chart requirements, and I expect all shared files to remain confidential. Accuracy and an eye for detail are essenti...

# URGENT: Ophthalmology Dissertation Revision, Statistical Analysis and Examiner Corrections **Budget: USD 50 (Fixed Price)** **Deadline: 7 Calendar Days** **Payment: 30 Days After Submission, Subject to Thorough Review and Acceptance** ## 1. Project Overview I am seeking an experienced medical research writer, biostatistician, or academic editor to comprehensively revise my postgraduate ophthalmology dissertation based on a detailed examiner evaluation report. **Research Topic:** Comparison of Conjunctival Autograft Fixation Using Autologous Serum Versus Absorbable Sutures in Primary Pterygium Surgery. **Study Details:** - Study design: Ambispective comparative cohort study. - Total sample size: 56 eyes. - Autologous serum group: 28 eyes. - Absorbable suture group: 28 eyes. - Sta...

I’m gearing up for an economic project centered entirely on research. At this stage I need a specialist who can take the lead from framing clear research questions through to delivering a polished report that’s ready for stakeholders. The exact analytical angle is intentionally open—whether the study ends up leaning on qualitative interviews, quantitative datasets, or a mixed-methods blend will depend on the approach you recommend once the brief is fully explored. Please be comfortable with sourcing reputable economic data, applying appropriate statistical or thematic techniques, and translating findings into concise, decision-ready insights. Deliverables I expect: • A brief research plan outlining data sources, methodology, and timeline • Clean, we...

I’m tackling a graduate-level calculus assignment and need clear, accurate solutions that I can study from. The work is firmly in the mathematics domain—nothing introductory—so please be comfortable with advanced topics such as multivariable analysis, series, and proof-based reasoning. Here’s what I’ll provide • The complete problem set in PDF form • Any lecture notes or prior attempts that might help you see my approach so far What I need back • Step-by-step solutions written either in LaTeX or neatly formatted Word/Google Docs • Concise explanations of the reasoning behind each step so I can follow the logic, not just copy an answer • Graphs, code snippets, or numerical checks (Python/Matlab/Maple—your choice) whene...

I need a detailed CFD study of several laboratory fume cupboards that routinely handle chemicals. The sole aim is to confirm their safety and containment performance, focusing specifically on three points: preventing leakage into the room, quantifying overall containment efficiency, and assessing operator exposure risk at the sash opening. You will receive the 3-D CAD geometry, operating sash heights, fan curves and boundary condition data. From this, set up and run steady-state and, where useful, transient simulations in ANSYS Fluent, OpenFOAM, or a comparable solver. Turbulence modelling, species transport for chemical tracers, and clear visualisation of velocity vectors and concentration iso-surfaces are essential. Deliverables • Solver-ready case and data files • High-res...

I have two manuscripts—one in the medical field and one in engineering—that are approaching submission. My immediate priority is a rigorous pre-submission review that leaves journal editors with nothing to pick apart. Here is what I need from you: • Select appropriate journals for the manuscripts, especially Indian journals that have an APC of less than Rs. 40000. • A full language edit that corrects grammar, syntax, and flow without altering scientific meaning. • A critical appraisal of the research methodology to be sure study design, sampling, and statistical tests are airtight. • Verification of every table, figure, and statistical result so the data analysis stands up to peer scrutiny. • A line-by-line compliance check against the guidelin...

Job post Senior AI / Full-Stack Engineer — Education Intelligence Product (Part-time / Project initially) I am building an AI-powered mathematics learning intelligence product for students, parents and teachers. The core intelligence/backend already exists and is being actively developed. I am looking for a strong engineer to help turn the existing system into a robust working product—not to build a chatbot wrapper from scratch. Initial scope The first phase is focused on building and polishing: - Parent/student conversational chatbot - natural multi-turn conversations - understands context and follow-up questions - grounded entirely in student records - evidence/verification behind answers - conversation persistence - Student intelligence - performance and learning...

I have a dataset that captures our customers’ interactions, purchases, and demographics, and I need a clear, well-documented analysis that turns those raw numbers into actionable insights. Your task is to explore the customer data, surface the key patterns, and explain what they mean for marketing, retention, and product decisions. The scope includes: • Cleaning and preparing the raw files (likely CSV exports from our CRM) • Running descriptive and exploratory analyses to uncover trends, anomalies, and correlations • Producing a concise written summary that highlights the most impactful findings and recommended next steps • Creating intuitive visualizations—feel free to suggest the best format, whether that ends up being charts, a compact dashboar...

I need a detailed groundwater model to assess heavy metal contamination over a regional scale. This model will be crucial for understanding the extent and impact of contamination, aiding in strategic planning and resource management. Key Requirements: - Heavy metals focus: Understand and map the distribution of heavy metals in the groundwater. - Regional scale: Develop a model that accurately represents the regional groundwater system. - Contamination assessment: Provide insights into potential sources and pathways of contamination Ideal Skills and Experience: - Expertise in groundwater modelling, particularly at a regional scale. - Experience with heavy metal contamination and its environmental impacts. - Strong analytical skills to interpret complex data and produce clear reports. - Pr...

I’m working with a raw financial dataset and I need it taken from “messy” to “decision-ready.” The core goal is to surface meaningful trends, so every step—from preparation through visualization—must support that objective. You’ll start by importing the data into Excel or a SQL environment and normalizing the fields so they’re analysis-ready. Once the structure is consistent, feel free to apply Python (Pandas, NumPy, matplotlib/seaborn) for deeper profiling and any additional quality checks you find useful. When the numbers line up, shift the focus to insight generation: uncover the key trend lines, seasonality patterns, or shifts that matter to stakeholders. The polished story should appear in Power BI: an interactive dashboard with ...

I’m refining a new biology study and need a skilled researcher to turn my broad research question into a fully-fledged, publication-ready experiment. The field is biology (I’ll brief you on the exact topic once we start), and what I’m missing is a robust experimental design that will stand up to peer review and, later, journal submission. Here’s what I’m looking for: • A clear, testable hypothesis (or set of hypotheses) based on the latest literature. • Detailed, step-by-step protocols that specify controls, sample size, replication strategy, materials, and instrumentation. • Power calculations and a basic statistical analysis plan—feel free to use R, GraphPad Prism, or any equivalent software you’re comfortable with. • A...

Sales Performance Analysis: Summary 1. Overview End-to-end data analytics project using Python, SQL, and Power BI Dataset: Superstore sales data, about 9,800 records Covers orders, customers, products, regions, and shipping Goal: turn raw sales data into clear business insights 2. Process Cleaned the data in Python (Pandas): fixed missing values, duplicates, and data types Created new features: shipping days, month, quarter, and season Explored the data with EDA in Python Queried the data with SQL to answer business questions Compared performance across regions, categories, segments, and time periods 3. Dashboard and Findings Interactive, dark-themed Power BI dashboard Filters for year, region, and category Key results: $2.26M total sales 5K orders and 793 customers West is the top reg...

I need a Power BI report that gives me a clear, interactive view of how our organisation is performing day-to-day and month-to-month. The focus is strictly on performance tracking, so the visuals should surface key KPIs, trend lines and drill-through details that let me spot bottlenecks quickly and take action. You will take the raw data I provide, model it cleanly, then design an engaging dashboard that updates automatically. Card visuals, custom tooltips, slicers and bookmarks are all welcome if they help users move from the high-level picture down to granular insights in just a few clicks. Deliverables • Finished .pbix file with all measures, relationships and visuals in place • A brief walkthrough or recording that explains how the report is structured and how to refres...

DISCLAIMER: AI GENERATED PROPOSALS WILL NOT BE CONSIDERED I am seeking an experienced freelancer to enhance my hotel review analysis software by expanding its data visualization and analytical capabilities. The software currently scrapes reviews from platforms like and Google Maps and performs basic sentiment analysis. I aim to improve the visualization and analysis of this data to provide deeper insights into customer sentiments and trends. Objectives: Expand the data visualization capabilities of the dashboard. Implement advanced data analysis techniques to extract meaningful insights from the review data. Enable export functionality to generate editable PDF reports of the analysis and visualizations. Core Responsibilities: Data Visualization Enhancements: Expand the existing dashb...

Saya membutuhkan individu yang bersedia mengisi sebuah survei berformat pilihan ganda. Survei ini ditujukan khusus untuk pelanggan umum dan tujuan utamanya sederhana: Anda akan mendapatkan bayaran atas partisipasi yang lengkap dan jujur. Detail tugas: • Menjawab seluruh pertanyaan pilihan ganda yang tersedia. • Menyelesaikan survei dalam satu kali sesi tanpa melewati pertanyaan apa pun. • Memastikan jawaban merefleksikan pengalaman serta pendapat pribadi secara akurat. Setelah survei selesai, kirimkan bukti tangkapan layar halaman konfirmasi sebagai tanda bahwa seluruh proses telah tuntas. Saya akan segera memproses pembayaran begitu verifikasi diterima. Silakan ajukan diri bila Anda siap berpartisipasi dan memenuhi kriteria sebagai pelanggan umum.