Gella Krupa sagar

I’m an entry-level Data Science professional with a B.Sc. in Mathematics, Statistics & Computer Science (CGPA: 8.53/10), focused on “Python-based machine learning, predictive modeling, and data pipeline development.” I turn raw datasets into actionable insights across finance, retail, and healthcare.

In my Python Programming Intern role, I designed and implemented end-to-end data pipelines to ingest, clean, and transform data into analysis-ready formats, reducing data preparation time by an estimated 30%. I also built regression-based predictive models for pricing and demand forecasting, improving forecast reliability through iterative parameter tuning and cross-validation.

I enjoy communicating results clearly, so I developed interactive visual dashboards and analytical reports using Matplotlib and Seaborn for non-technical stakeholders. From projects like Boston House Price Prediction, I’ve strengthened my approach to regression, feature engineering, outlier detection, and model evaluation to deliver reliable, interpretable predictions.