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Sahil-Chavan/README.md

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📖 About Me

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  • 👨🏼‍💻 Data Scientist and AI/ML Researcher with a focus on building and deploying scalable, real-world solutions.
  • 👨‍🎓 M.S. in Data Science @ Columbia University, NYC (Expected Dec 2025).
  • 🔭 Current Research: Applying AI to single-cell genomics and immunology at Columbia's Mailman School.
  • 👨🏼‍🏫 Teaching Assistant @ Columbia, including Modern Data Structures and Advanced Machine Learning.
  • 🌱 Always learning and exploring the evolving field of Data Science.
  • 👯 Open to collaborations on research projects or industry-grade ML solutions.
  • ❤️ Interests: Music 🎵, Coffee ☕, Movies 🎥, and Documentaries 📚.
  • 📝 My Resume

💡 Key Experience & Focus

➢ ☁️ Cloud Research | Data Science & Gen AI Researcher

  • Architecting a state-of-the-art Generative AI feature to create synthetic AI personas for survey responses using Retrieval-Augmented Generation (RAG) and finetuned models.

➢ 🚀 Amazon | Data Science Intern

  • Architected an autonomous agentic LLM platform for customer experience (CX) defect discovery, achieving a 100x velocity improvement over manual methods.
  • Built production-scale RAG pipelines using Amazon Bedrock Knowledge Bases for deep contextual grounding of CX violations.

➢ 🏢 TIAA | Data Scientist

  • Engineered hybrid recommendation systems (XGBoost, BERT4Rec) that boosted advisor-led upsell/cross-sell rates by 18% and achieved 82% precision.
  • Built and managed scalable ETL pipelines over 10+ TB of data using AWS (Glue, S3), Snowflake, and PySpark.

🎓 Academic & Teaching Highlights

➢ Mentorship & Teaching: As a Teaching Assistant at Columbia, I have designed course content and mentored over 40 graduate students on projects spanning NLP, Computer Vision, and time series forecasting.

➢ Research & Publications: Authored two research papers published in Springer on a novel ensemble algorithm for object detection ("Non-linear Maximal Weighted Box Integration") developed during my undergraduate thesis.

➢ Early Internships & Impact: Gained foundational experience through internships where I developed award-winning NLP and recommendation systems that earned a government copyright and media recognition.

🧑🏽‍🦲 Me and My Personality

➢ I believe in Smartness, Consistency, and Hard Work as keys to success.
➢ Passionate about sharing knowledge through mentoring and public speaking engagements.
➢ Actively involved in community service, contributing through tree plantations, educational drives, and cultural activities.

💻 Technology & 🛠️ Tools

Gen AI & NLP

ML/DL Frameworks

Data & Cloud Platforms

Web Dev & Deployment

📫 Reach out to me

Check out my Repositories 🗃️

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  1. Face_Recognition_Attendance_System Face_Recognition_Attendance_System Public

    Python

  2. Vehicle_Object_Detection Vehicle_Object_Detection Public

    Jupyter Notebook 1

  3. Automatic_License_Plate_Recognition Automatic_License_Plate_Recognition Public

    Jupyter Notebook

  4. Taxi_Prediction-CaseStudy Taxi_Prediction-CaseStudy Public

    Jupyter Notebook

  5. PersonalizedCancerPrediction_CaseStudy PersonalizedCancerPrediction_CaseStudy Public

    Here I have tried to solve an problem by Quora, posted on Kaggle. Problem Statement :--A lot has been said during the past several years about how precision medicine and, more concretely, how genet…

    Jupyter Notebook

  6. Stackoverflow_Tag_Prediction Stackoverflow_Tag_Prediction Public

    Problem Statemtent - Suggest the tags based on the content that was there in the question posted on Stackoverflow. Source-Kaggle(https://www.kaggle.com/c/facebook-recruiting-iii-keyword-extraction/…

    Jupyter Notebook 1