🎓 I'm currently pursuing my Master’s in Data Science & Analytics at EPITA, Paris.
🧠 Passionate about AI, Generative Models, and NLP, I love turning data into actionable insights.
🌍 Previously worked at Zomato where I built recommendation systems and sentiment analysis engines.
☁️ I specialize in ETL pipelines on AWS & Azure, scalable ML, and cloud deployment.
| Area | Tools & Frameworks |
|---|---|
| Programming | Python, SQL, R, JavaScript, Bash |
| Data Science & AI | Scikit-learn, TensorFlow, PyTorch, OpenAI, Hugging Face, Mistral |
| NLP & GenAI | SpaCy, NLTK, TextBlob, LangChain, Transformers, LLMs, RAG |
| Data Viz & BI | Tableau, Power BI, Looker, Grafana, Seaborn, Matplotlib |
| Cloud & Big Data | AWS, Azure, Docker, Kubernetes, Spark, Glue, Redshift, Databricks |
| Databases | PostgreSQL, MySQL, MongoDB, BigQuery |
✨ 🧠 AI Food Recommendation Engine
A hybrid model for meal recommendation using collaborative filtering & deep learning.
Tech: TensorFlow, Flask, Docker, AWS EC2
✨ 📈 Time Series Forecasting for Stock Prices
ARIMA + LSTM-based model to predict future stock prices.
Tech: Python, Pandas, Matplotlib
✨ 🛒 AWS-Based ETL Pipeline for E-Commerce Analytics
Built a serverless ETL pipeline to analyze customer behavior & optimize inventory.
Tech: AWS Lambda, S3, Glue, Redshift, Quicksight
✨ 💬 Sentiment Analysis of Zomato Reviews
Natural language processing pipeline with MongoDB and Flask backend.
Tech: NLTK, Scikit-learn, Word Cloud
✨ 🤖 RAG Chatbot for PDF Q&A
Retrieval-Augmented Generation chatbot for PDF document insights.
Tech: LangChain, OpenAI, Hugging Face
- 🌐 LinkedIn : linkedin.com/in/deepakrajdhanaraj
- ✉️ Email : [email protected]
- 🧪 GitHub : github.com/deepakfr
- 🚀 Portfolio site coming soon: deepakfr.dev
“Turning complex data into powerful decisions.”
« Transformer la complexité en impact par la donnée. »