📊 Data Engineer & Researcher passionate about AI, ML, and Data-driven decision making
Focused on LLMs, Classic and Applied Machine Learning
Currently researching AI accessibility and interdisciplinary ML applications
Engineered a FastAPI–React AI analytics platform for educators, integrating Whisper-v3 and LLaMA 3.3 for lecture transcription and topic analysis, with seamless REST–frontend sync and optimized SQL-based insights.
Built a Time Series model on 21k+ contracts with 11 financial features, achieving 46% MAPE improvement over regression using XGBoost and 1.8% better accuracy than a 3-layer Bi-LSTM model (built from scratch).
Developed Bi-LSTM with Word2Vec embeddings on 2M+ reviews, achieving 83.3% accuracy vs BERT-based transfer models.
- PwC - Technology Consulting Associate
- Verotech Solutions LLC - Data Science Intern
- ITC Limited – Project Management Intern
- IIT Kharagpur - Undergraduate Research Assistant
- Success4 Inc - Data Engineering Intern
- Power BI Data Analyst – Microsoft
- Orchestrating GenAI Workflows – DeepLearning.AI
- Python & Pandas for Data Engineering – Duke University
- Time Series Modeling – LinkedIn Learning
I’m always open to collaboration, research discussions, or data-driven product ideas.
Reach me at sibiseenivasan@gmail.com or connect on LinkedIn.
