Data Scientist | ML Engineer | MSc Data Science
Spiking Neural Networks • Climate Modeling • Production AI
🛠️ PyTorch • Python/SQL • DBT • AWS/GCP • Docker
Data Analyst with an year of experience in developing and deploying data-intensive applications. Holding a Master’s in Data Science and a strong Physics background, I excel in predictive modeling, data processing, and mining algorithms using Python, R, and SQL. Experienced in machine learning and API development, especially in sustainability and climate data analysis. Competent with AWS and GCP, and well-versed in computational neuroscience and spiking neural networks. skilled at resolving scalability issues and thriving in agile, fast-paced settings.
DocuraAI Production RAG AI Chat
Fully local Multi-PDF AI | FastAPI + Llama3 + ChromaDB
Privacy-first RAG pipeline (sentence-transformers embeddings)
Next.js frontend | Zero cloud dependency | Context-aware citations
Stock Market Analytics Warehouse Enterprise Data Pipeline
Live financial ELT | dbt + DuckDB + Python
Modern analytics engineering (staging/marts/schema tests)
SQL window functions for returns/volatility metrics
Production Git workflows + lineage graphs
Solar Power Forecasting Time-Series ML
LSTM + Random Forest | RMSE: 50.27
10-year meteorological data | Feature engineering
Streamlit deployment | Real-time predictions
graph TB ML[PyTorch - TensorFlow - scikit-learn] --> Lang[Python - R - SQL] Lang --> Infra[Docker - FastAPI - dbt] Infra --> Cloud[AWS - GCP - Azure] ML --> Domain[Sustainability - Fintech - Neuroscience] Cloud --> BI[Power BI - Tableau - Streamlit]
| ML/Deep Learning | Data Engineering | Cloud/Infrastructure | Visualization |
|---|---|---|---|
| PyTorch TensorFlow | DBT Snowflake DuckDB | AWS Lambda EC2 GCP | Power BI Tableau |
| scikit-learn HuggingFace | FastAPI SQL ETL | Docker Git CI/CD | Streamlit Matplotlib |
MSc Data Science – University of Surrey, England (2021-2023)
- Dissertation: Spiking Neural Networks (PyTorch) – Network dynamics & stability analysis*
MSc Atmospheric Science – SPPU, Pune (2017-2019)
- Thesis: Lightning Variability (TRMM Satellite) – 18yr climate pattern analysis*
- Distributed training on GPU clusters (Kubernetes)
- Advanced RAG systems + agentic workflows
- Computational chemistry tools (RDKit integration)
- MLOps for scientific research platforms
💼 Open to collaborations • 📧 Let's connect!