Innovative data scientist with a robust background in machine learning, statistical analysis, and predictive modeling. Skilled in translating complex datasets into actionable insights that drive decision-making and business strategy improvements. Demonstrates strong problem-solving abilities and mastery of Python, R, SQL, and data visualization tools. Previous work has led to significant enhancements in operational efficiency and revenue growth through data-driven strategies.
Cost-effectiveness Analysis, Budget Impact Modeling, Statistical Modeling & Simulation, Bayesian Inference & Forecasting, Scenario & Sensitivity Analysis, Python, R, SQL, Excel (advanced), VBA, NumPy, SciPy, Seaborn, Matplotlib, Git, Jupyter, LaTeX, Stata (in view), PowerPoint, MS Word