Software developer transitioning to data science with 3+ years of experience and advanced ML training from Cambridge. Built production-ready forecasting models (Weight Forecasting for Athletes Using Nutrition Data) using SARIMAX/XGBoost, explicit safety constraints, and rigorous statistical validation - achieving 90%+ accuracy. Also created the Mono Suite, distraction-free, local-first software including a YouTube extension with 1000+ users and a privacy-centric video browser built with Rust and Tauri.
Currently open to data science, data engineering, and ML engineering roles. Get in touch at aadamhgafar@gmail.com or via LinkedIn ↗.
Python (pandas, NumPy, scikit-learn, statsmodels, XGBoost, Plotly, ruptures), SQL (T-SQL, PostgreSQL)
Time Series Forecasting (SARIMA, SARIMAX), Walk-Forward Cross-Validation, Changepoint Detection, Model Comparison & Selection, Hypothesis Testing (Binomial Test), Correlation Analysis, Multicollinearity Detection, Hyperparameter Tuning (Grid Search)
Linear Algebra, Statistical Inference, Probability Theory
ETL Pipeline Design, RESTful API Integration, Data Validation, Production ML Constraints
Git, Jupyter, Google Colab, VS Code, GitHub
CSS Architecture, Browser Extension Development, UI/UX Design