AI Systems | Statistical Learning | Responsible AI

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Experience

AI Operations Intern – Datastraw Technologies

• Built AI intermediary (Agent Assist) system
• Designed voice AI pipeline (STT → LLM → TTS) for cart recovery
• Developed client-side dashboard using Next.js + Convex
• Assisted in production AI workflows and architecture research

Projects

LA Crime Analysis & Predictive Modeling -

https://github.com/smusab9152/LA_Crime.git

• Developed a crime volume forecasting system achieving an R-Squared of 0.95 by engineering a Random Forest Regressor that aggregated monthly crime data across 21 distinct LAPD geographic areas.
• Built a binary classification model to predict arrest outcomes with 91% accuracy by implementing XGBoost and Logistic Regression algorithms on a dataset of over 1 million crime records, utilizing features such as victim demographics and weapon usage.
• Optimized predictive performance for hourly crime trends by deploying a Multiple Linear Regression model

Education

• MSc Big Data Analytics – University of Mumbai