Transforming data into actionable insights with machine learning and statistical modeling
Data Scientist with hands-on experience in machine learning, statistical modeling, experimentation, and analytical product development. Skilled in end-to-end ML workflows including preprocessing, feature engineering, model training, evaluation, deployment, and monitoring.
Strong background in Python, SQL, and production-ready deployment frameworks. Passionate about solving complex business problems with data-driven solutions and building scalable ML systems.
Built and deployed ML models using Flask, FastAPI, and Streamlit. Developed end-to-end pipelines for data preprocessing, model training, and API deployment.
Developed automation scripts and data manipulation tools. Worked with OOP, APIs, and MySQL databases.
Deep dive into feature engineering techniques and hyperparameter tuning strategies that improved model performance by 23%.
Read MorePractical insights on dealing with imbalanced datasets in churn prediction, with metric trade-offs analysis.
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