Data Science & Analyst Intern

Description

• •Performed exploratory data analysis (EDA) and feature engineering on datasets exceeding 100,000+ records using Pandas, NumPy, and SQL.
• •Developed 3+ predictive models with Python, achieving up to 92% accuracy and improving baseline performance by ~20%.
• •Generated actionable insights through dashboards and statistical analysis, accelerating stakeholder decision-making by ~30%.
• •Translated analytical findings into business-ready reports used by cross-functional teams.