Machine Learning Analyst — Project Based (May 2024 – Present)
Don't disclose
Built end-to-end machine learning solutions by cleaning raw data, performing feature engineering, and evaluating trained models for deployable performance. Applied statistical analysis and probability-based reasoning to real-world datasets to support explainable decision-making. Focused on using appropriate performance metrics and interpretability to prioritize trustworthy outcomes over raw accuracy. • Cleaned and preprocessed datasets to make them suitable for modeling. • Engineered predictive features for stock portfolio optimization and credit risk assessment. • Trained and evaluated ML models using Python and Scikit-learn. • Interpreted model behavior using performance metrics to ensure reliability.
2024 - Present