Hi, I’m Poojitha 👩💻
I recently completed my Master’s in Data Analytics Engineering from George Mason University, where I honed my skills in turning complex, messy datasets into meaningful, actionable insights.
My work blends technical rigor with creative storytelling — from building machine learning models to uncover healthcare trends, to automating public grant funding analysis with APIs and Tableau dashboards. I'm driven by curiosity and a desire to make data work for real-world impact.
🧰 My toolkit includes:
I’m passionate about designing data-driven solutions that are scalable, insightful, and human-centered — whether that’s through predictive modeling, streamlined pipelines, or elegant dashboards.
Let’s turn raw data into real impact.
Objective: Identified key risk factors for heart disease using BRFSS data.
Tools: R, Python, AWS-based SQL
Outcome: Discovered strong associations between diabetes, smoking, and heart disease prevalence.
❤️ Heart Health Indicators Analysis
Flight Delay & Cancellation Prediction
Objective: Predicted flight disruptions using DC-area flight data.
Tools: PySpark, Databricks, XGBoost, Random Forest
Outcome: Developed models to identify seasonal patterns and key delay factors.