# Shamik Basu

**AI Enabled Data Scientist** | Los Angeles, CA  
Open to full-time roles in Data Science, Machine Learning, and Applied AI.

- **Email:** shamik1900@gmail.com
- **Phone:** +1 (213) 255-6219
- **Website:** https://www.shamik-basu.com/
- **Book a session:** https://www.shamik-basu.com/talk2me/
- **LinkedIn:** https://linkedin.com/in/shamikofficial/
- **GitHub:** https://github.com/ShamikOfficial
- **Resume PDF:** https://www.shamik-basu.com/assets/documents/Resume_Shamik_Basu.pdf
- **Machine-readable profile:** https://www.shamik-basu.com/assets/data/profile.json

## Summary

Data scientist with 2+ years shipping production machine learning pipelines, LLM systems, and analytics workflows with measurable business impact. Cut operational costs **72%** on a production RAG system processing **5M+ records/month** and improved fraud identification accuracy **27%** while reducing false positives. Strong in Python, SQL, statistics, experimentation, machine learning, and LLM/agentic systems.

## Highlights

- **1st Place - UCLA SAIRS Hackathon (2025):** EcoMate-AI multimodal agentic platform built in 24 hours.
- **Trend Pilot (2026):** Multi-agent AI for creator teams (FastAPI + Next.js + GPT-4o VLM); live demo shipped.
- **VP of GRIDS at USC (2025-Present):** Workshops and projects for 250+ graduate data scientists.

## Experience

### Data Science Associate Intern - Liquidity AI Capital (Los Angeles, CA)
*Apr 2026 - May 2026*

Deployed production SLM inference in Docker with end-to-end LoRA fine-tuning for domain-specific financial inference.

### Data Science Associate Intern - KCC Capital Partners (Los Angeles, CA)
*Jan 2026 - Mar 2026*

Built an agentic LangChain pipeline for M&A target sourcing with LLM classification, web scraping, and structured extraction.

### Data Scientist - Bajaj Finserv Health (Pune, India)
*Nov 2023 - Dec 2024*

- Production RAG pipeline (LangChain + GPT-3.5) processing 5M+ medical records/month
- **72%** operational cost reduction at **92%** extraction accuracy
- Langfuse observability; Kafka event-driven inference

### Associate Data Scientist - Bajaj Finserv Health (Pune, India)
*Jul 2022 - Oct 2023*

- Redesigned production NER pipeline: **+27%** fraud identification accuracy
- Supervised models with feature engineering: **+22%** operational efficiency

### Data Engineer Intern - Bajaj Finserv Health (Pune, India)
*Jan 2022 - Jun 2022*

Scaled ETL to 10M+ records across 200+ features with C++/Trino/Docker and optimized SQL.

## Projects

### Trend Pilot (Agentic Trend Orchestrator)
*May 2026 - Jun 2026* | status: production demo  
Multi-agent assistant for creator teams. FastAPI, Next.js, GPT-4o VLM, Milvus, CI/CD.  
Demo: https://trendpilot.shamik-basu.com/ | Case study: https://www.shamik-basu.com/projects/agentic-trend-orchestrator.html

### EcoMate-AI
*2025* | status: award | **1st Place UCLA SAIRS**  
Multimodal agentic sustainability platform (Gemini 2.5 Flash).  
Demo: https://ecomateai.streamlit.app/ | Case study: https://www.shamik-basu.com/projects/ecomate-ai.html

### Custom CUDA Library
*2026* | status: open-source  
Shared-memory tiled kernels; **115x** CPU and **14x** PyTorch speedups on Tesla T4.  
Case study: https://www.shamik-basu.com/projects/custom-cuda-library.html

### Smooth Operation
*2025* | status: hackathon  
Atlassian Forge app: heatmaps, analytics, smart search for Jira/Confluence.  
Case study: https://www.shamik-basu.com/projects/smooth-operation.html

## Education

- **MS, Applied Data Science** - University of Southern California (Jan 2025 - Dec 2026) | GPA 3.7 / 4.0  
  Coursework: Deep Learning, Machine Learning, Data Mining, Data Management
- **BTech, Computer Science** - SRM Institute of Science & Technology (2018 - 2022) | GPA 3.46 / 4.0  
  Coursework: Algorithms, Artificial Intelligence, Computer Vision, Probability & Queueing

## Leadership

- **Vice President**, GRIDS - Graduate Data Science Club, USC (Sep 2025 - Present)
- **Graduate Mentor**, USC Viterbi School of Engineering (Jan 2025 - Present)

## Skills

**Languages & Databases:** Python, SQL, R, C/C++, PostgreSQL, MongoDB, Spark, Trino, Kafka  

**ML & Analytics:** Machine Learning, Statistics, Causal Inference, A/B Testing, NLP, NER, Forecasting, Tableau, Power BI  

**Deep Learning & LLMs:** PyTorch, TensorFlow, Hugging Face, LoRA, RAG, LangChain, Multi-Agent Systems  

**Cloud & DevOps:** AWS, Docker, Kubernetes, REST APIs, CI/CD, Azure Synapse, Langfuse, Git