Predictive Analytics Jobs

Freelance Writing Task: AI-Enhanced Project Management Platform (Smart Task Allocation & Scheduling) We are looking for an experienced freelance writer with strong knowledge of AI, SaaS, and business productivity tools to help us create compelling content for an AI-powered project management platform. Project Overview We are building an AI-enhanced project management platform that uses machine learning to: Automatically allocate tasks based on team skills, availability, and workload Optimize scheduling and deadlines Predict project risks and delays Improve productivity across industries The platform leverages AI to transform traditional project management into a smart, automated, data-driven system for modern businesses. Scope of Work We need a writer to: Develop a clear a...

I’m running a comparative genomic-selection study, benchmarking about ten prediction models that range from rrBLUP and GBLUP to Random Forest, LightGBM, CNN and ElasticNet. The experiments are in motion but the dataset keeps growing, so I’m looking for a research-minded intern who can jump in, work entirely in R, and keep me posted with regular, concise updates. Here’s where I need your help: • Data preprocessing & cleaning – imputation, SNP quality filters, population structure checks. • Model development & tuning – implement or refine the models above, explore hyper-parameter grids and suggest new algorithms when they make sense. • Performance evaluation & analysis – rigorous cross-validation, predictive-ability metric...

I have a CSV file containing several thousand input-output pairs and I’m looking for a fresh analytical perspective on whether any meaningful statistical pattern exists in the data. The dataset is purely numerical and abstract, so it can be approached using any appropriate mathematical or statistical techniques such as correlation analysis, transformations, dimensionality reduction, information-theoretic measures, or other exploratory methods. What matters most is evidence. I would like to determine first whether the outputs can be reliably modelled from the inputs, and second, what kind of mathematical structure might explain any observed relationship. If a reproducible pattern emerges, the goal would be to characterize it and assess how well it generalizes to unseen rows. If the d...

I have a sizable set of customer data sitting in CSVs and I want it turned into clear, actionable insights. Right now I’m still deciding which angle will be most valuable—anything from simple descriptive trends through to predictive or even prescriptive models is on the table—so I’d like your input on what the data can realistically deliver. Here’s what you’ll be working with • Customer profiles (demographics, acquisition source) • Historical purchase records and spend patterns • Engagement logs from email and in-app activity What I need from you 1. A short plan outlining the analysis path you recommend once you’ve skimmed a sample of the data. Feel free to propose segmentation, churn risk scoring, lifetime value estima...

I need a purpose-built CRM for the strata industry that leans heavily on AI to wipe out repetitive admin and give committees, owners and managers instant insight. The solution must weave in predictive analytics to flag maintenance and arrears before they surface, natural language processing so residents can lodge requests or search by-laws in plain English, and automated data entry that lifts information straight from invoices, minutes and inspection reports. The underlying platform is your call—web, mobile, desktop or a hybrid—so long as it comfortably scales to thousands of lots and high concurrent traffic without performance dips. Core functional areas I have in mind: • Centralised contact & lot database with role-based access • Ticketing thread that auto-cl...

Overview We are hiring 3 experienced Data Scientists to participate in a structured data challenge as part of a paid engagement. This is not a generic Kaggle-style competition. You will be exploring an AI-native data platform, analyzing real-world event data, and submitting a structured, reproducible project. If selected, you’ll be compensated for your participation and submission. What You’ll Be Doing Explore a new AI-powered data workspace Analyze user behavior/event data Define your own success metrics Build insights using statistical/ML techniques Submit: A complete reproducible data project A written summary explaining methodology and findings A public project link You will be working individually. Ideal Candidate We’re looking for someone who: Has basic under...

I need a hands-on partner who can take me from concept to a working prototype of a Quantum Computing + IoT framework that tackles Urban Heat Islands end-to-end: we will monitor conditions continuously and then act on the insights to mitigate them in real time. Scope and context • Data will flow in from a dense mesh of ground sensors capturing temperature, humidity, CO₂ and overall air-quality metrics every few seconds. Satellite or weather-station feeds could be folded in later, yet the first milestone is rock-solid performance with the on-site sensors. • On the quantum side, I want algorithms that can handle the heavy analytics load—predictive hot-spot mapping, optimisation of cooling interventions, maybe even near-real-time scheduling of adaptive shading or misting s...

I need to promote new film the 1st documentary all Christ teaching "The 40 Parables" see here I am starting a global B2B outreach starting in USA from Amazon SES and need an AI specialist who has already proved they can benifit SES in many ways from keeping large-scale campaigns out of spam folders and into decision-makers’ inboxes. My immediate priority is email delivery optimization—our small beta sent 50,000 through SES saw roughly 50%+ opens and 40%+ clicks but 0001% conversions, so I know the messages are reaching eyes; they are just not converting, and I want to multiply volume without multiplying problems. Because I am new to B2B email (I’m a 72-year-old documentary producer expanding into sponsorship and distribution partnerships) seeking AI-guided f...

I need a predictive analysis on a mixed data set. The goal is to predict next day's mood based on today's social media usage. Key Requirements: - Analyze survey data on mood and social media hours - Use predictive modeling techniques - Provide clear, actionable insights Ideal Skills and Experience: - Expertise in predictive analysis - Proficiency with mixed data sets - Strong background in data interpretation and reporting I'm looking for a freelancer who can deliver accurate predictions and insights.

I'm looking for an expert to help me build effective AI prompts for numerical data analysis. The AI will assist with: - Data Visualization: Creating insightful graphs and charts. - Predictive Analytics: Forecasting trends and outcomes. - Statistical Analysis: Performing complex statistical calculations. Ideal skills and experience: - Proficiency in AI tools and prompt engineering. - Strong background in data analysis, especially with numerical data. - Experience in data visualization tools (e.g., Tableau, Power BI). - Knowledge of statistical methods and predictive modeling. Your assistance will help streamline these tasks and enhance accuracy.