
Data Scientist applies Python, Scikit-learn, and SQL to build predictive models and turn raw data into usable insights. Develops 3–5 models per quarter across the full workflow from cleaning and transforming 3+ datasets per week, feature engineering through model evaluation and visualization, and successfully delivers projects for various organizations, ensuring quality and timely completion. Pairs analytics work with software development experience to deliver practical, decision-ready solutions.
Python
SQL
Scikit-learn
Pandas
Power BI
Machine learning deployment
Data preprocessing
Feature engineering
Model evaluation
Predictive modeling
Statistical analysis
Tableau
Database optimization
Backend development
Version control
Web application development