Freelancer Scope of Work — Data Reporting & Sports Analytics Expert Overview: Seeking a skilled data reporting specialist to complete and maintain sports analytics reports for an AI-driven betting platform. The system already includes working R and Python pipelines (NFL, NBA, MLB, NHL). Your task is to finalize automation, unify data flows, and deliver polished daily/weekly reports from model outputs. Core Tasks: 1. Audit existing R Shiny and Python workflows for consistency and fix broken file paths or missing data links. 2. Automate generation of cumulative results, EV/unit tracking, and star-rating summaries. 3. Build or refine visual dashboards showing trends, model accuracy, and betting performance. 4. Ensure seamless integration of multiple lenses: market data, injury reports, math layer, and numerology layer. 5. Standardize output formats (CSV, Parquet, PDF summaries) for production and web delivery. 6. Document all logic, paths, and automation steps for future maintenance. Technical Requirements: • Advanced R (tidyverse, Shiny, caret, glmnet) and/or Python (pandas, NumPy, joblib, Flask). • Experience with sports betting data: spreads, totals, odds conversion, implied probability, EV. • Strong skills in automated reporting, visualization, and data cleaning. • Familiar with Git, Bitbucket, and basic CI/CD (Jenkins preferred). • Comfortable working with existing partial code and reverse-engineering structure. Nice to Have: • Prior work in sports modeling or handicapping analytics. • Familiarity with Gematria/numerology tagging (optional metadata layer). • Understanding of sportsbook APIs and consensus market data. Deliverables: • Completed, stable reporting system that runs automatically. • Documented process flow and source map. • Exportable daily and weekly reports ready for publication. Engagement: Freelance contract. Remote. Estimated 20–40 hours to complete setup with potential ongoing maintenance.