Data Scientist skilled in statistical modeling, machine learning, and causal inference with experience in distribution, marketing analytics, and public health research. Proficient in Python, R, SQL, and Tableau/Power BI, with a proven ability to forecast demand, design experiments, and translate complex data into business insights.
Core Technical Skills - Python, R, SQL, MATLAB, PySpark, scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, A/B Testing, Hypothesis Testing, Logistic Regression, GLMs, Survey-weighted Regression (svyglm), Causal Inference, Forecasting
Applied Skills - Marketing Analytics, Operations Research, Health Analytics
Visualization & Communication - Tableau, Power BI, matplotlib, seaborn, ggplot2 , Dashboard Design & KPI Monitoring, Data Storytelling & Stakeholder Communication
Cloud & Tools - Jupyter, Google Colab, Git/GitHub