Shuvrangshu Mukhopadhyay
AI/ML Engineering Lead (IC)
Crafting Intelligence into Code | Building Tomorrow's AI Today
About Me
I am a Data Scientist and Machine Learning Engineer with a passion for building AI solutions that solve real-world problems. With a background in mathematics and computer science, I specialize in developing and deploying machine learning models that drive business value.
My journey in AI began during my academic years, where I explored the theoretical foundations of machine learning. Since then, I have applied these principles to projects ranging from predictive analytics to natural language processing and computer vision.
Key Skills:
GitHub Contributions
Key Projects
Portfolio Website with AI
Developed this interactive portfolio website from scratch, leveraging the Cursor AI agent powered by Gemini for rapid development, design, and debugging.
View ProjectPredicting Click Conversion Rate
Developed ML models to predict ecommerce click conversion rates with 85% accuracy, improving targeting by 20% over traditional methods.
View ProjectEcoMobile: Economic Correlations in Mobile Data
Collaborated with IIM Calcutta to analyze JSON datasets from mobile usage and geolocation, revealing economic patterns in U.S. markets.
View ProjectActivity Recognition Classification
Used ensemble methods to classify human activities from wearable sensor data, achieving high accuracy in movement prediction.
View ProjectSQL Movie Dataset Analysis
Analyzed IMDb movie datasets using advanced SQL techniques as part of ADBMS research at University of South Florida.
View ProjectExperience
AI/ML Engineering Lead (IC)
Ashley Furniture Industries, Tampa, FL
- Designed and deployed a Neo4j-backed RAG chatbot (18M nodes, 54M edges) using LangGraph and Gemini, shrinking average query turnaround from 6 hours to 38 seconds (99.8% faster) for approximately 100 weekly supply chain questions
- Automated compliance review with RAG pipeline, reducing review time from 4 hours to 10 minutes
- Instituted responsible AI guardrails (bias scan, prompt toxicity filters), resulting in 100% policy compliance.
Data Scientist
Ashley Furniture Industries, Tampa, FL
- Developed assortment optimization system using Python and Databricks
- Automated demographic data processing using Selenium and Kubernetes
Data Scientist
Khoros India R&D, Bengaluru, India
- Built NLP-driven automation tools, reducing customer service queries by 30%
- Optimized click-through rates by 18% through A/B testing and analytics
Data Scientist II
American International Group (AIG), Bengaluru, India
- Managed team of 5 analysts improving underwriting risk models
- Reduced claims loss by 19% using XGBoost models
Data Scientist I
American International Group (AIG), Bengaluru, India
- Contributed to the development of underwriting risk models
- Supported claims loss reduction initiatives
Contact
Feel free to reach out for collaboration or opportunities.