I will build machine learning models, data pipelines, and analytics dashboards in Python and SQL

Bad data decisions cost money. I build the systems that stop that. Data scientist & ML engineer, MSc Data Science, 4+ years in production environments. What you get: • Predictive models — classification, regression, forecasting (XGBoost, scikit-learn, Bayesian methods, Monte Carlo simulation) • Data pipelines — raw data → BigQuery → dbt-modeled marts → one source of truth • Dashboards — Tableau, Power BI, Looker Studio for executives; Streamlit/Dash for teams that interrogate the data • Analysis — EDA, statistical testing, customer/churn/pricing models, clear written findings Standard: calibration over hype. A model that says 70% and hits 70% is the product. Everything reproducible, version-controlled, documented. Proof: I run The Hoop Scientist — a sports analytics brand where my models predict publicly and the misses get published. Live track record, not a portfolio PDF. Message me your problem before ordering. Scope right, deliver right.