✅ Verified by Extern

<Amazon_Operational_Strategy_&_People_Analytics_Externship>

Imagine shaping how AMAZON — yes, THE Amazon — welcomes and keeps its workforce. Every year, Amazon loses billions because new hires leave before Day 90. You’re going to fix that. In this externship, you’ll web scrape real-world employee reviews from across the web, extract actionable insights, and design persona-driven strategies to help Learning Ambassadors connect smarter, faster, and more humanely. It’s part research, part strategy—and all about learning how people data drives big decisions.

✅ Verified by Extern

<Beats_by_Dre_Data_Analytics:_Qualitative_&_Quantitative_Insights_Externship>

A data analytics externship with Beats By Dre focused on extracting qualitative and quantitative consumer insights from reviews, surveys, and conversational data.

<Healthcare_Billing_Amount_Prediction_and_Time_Series_Forecasting>

Healthcare Cost Estimator: Built a Python-based machine learning pipeline that predicts insurance premiums with high accuracy using demographic data.

<Employee_Attrition_Prediction_using_XGBoost>

Developed a predictive model to identify key drivers of employee turnover using a dataset of 15,000+ records, achieving high accuracy in classifying at-risk employees.

<TikTok_Video_Engagement_Analysis:_Understanding_Virality_and_Moderation_Factors>

Engineered features from video engagement metrics (likes, shares, views) and text data, identifying that claim-based videos typically receive significantly higher engagement than opinion-based content.