π Data Scientist | MLOps Engineer | Analytics Professional
Building data-driven solutions that scale from clean data pipelines to deployed ML systems.
- 4+ years of experience across Data Science, ML Engineering, and Analytics
- Skilled in MLOps pipelines, model deployment, and experiment tracking
- Passionate about GenAI & applied machine learning in real-world industries
- Currently expanding into LLM fine-tuning, agentic AI, and production observability
MLOPS_end_to_end_Deployment
End-to-end ML pipeline with packaging, CI/CD, Docker, and AWS deployment.
speak-note-code
Healthcare AI pipeline: Whisper transcription β PHI masking β SOAP notes β ICD/claims hints.
Truck_logo_Design_Measurements
YOLOv8 + OpenCV + Streamlit app that detects trucks and estimates real-world dimensions.
Sentiment_Analysis_and_LLM
Clean baseline (TF-IDF + NB) vs. LLM zero-/few-shot sentiment analysis on reviews.
- Best Poster Award β for Speak-Note-Code (Healthcare AI project)
- Delivered analytics dashboards driving key decisions (Tableau, Power BI)
- Built 0β1 ML systems with reproducibility, deployment, and monitoring in mind
- Experience across healthcare, insurance, and supply chain analytics
- π LinkedIn
- π Tableau Portfolio
- π» GitHub Projects
β¨ Iβm passionate about designing ML systems that donβt just work in notebooks β but run reliably in production.