Skip to content

Saimudragada/ALL-ABOUT-ME-

Folders and files

NameName
Last commit message
Last commit date

Latest commit

Β 

History

4 Commits
Β 
Β 

Repository files navigation

ALL-ABOUT-ME-

A brief introduction of what i love to do.

Hi there, I'm Sai! πŸ‘‹

πŸš€ About Me

I'm a Data Scientist & ML Engineer passionate about building intelligent systems that solve real-world problems. I love transforming complex, messy data into production-ready AI solutions that drive measurable business impact.

🎯 Recent Highlights:

  • πŸ† Built RevenueBoost-ML: AI recommendation system with +40% revenue improvement
  • πŸ€– Developed MustangsAI: RAG-powered campus assistant for MSU Texas
  • πŸ₯ Created clinical trial enrollment prediction system
  • πŸ“Š Built demand forecasting solution for small bakeries

πŸ’Ό What I Do:

  • Machine Learning Engineering: End-to-end ML pipelines from data β†’ model β†’ deployment
  • AI Systems: Recommendation engines, NLP, forecasting, computer vision
  • Production MLOps: Docker, CI/CD, A/B testing, monitoring
  • Business Impact: Optimizing for revenue, conversions, and real metrics

πŸ› οΈ Tech Stack:

Languages & ML:
Python SQL PyTorch TensorFlow

ML/AI:
BERT FAISS Scikit Learn

Tools & Deployment:
Docker FastAPI Git AWS

Data & Visualization:
Pandas NumPy Power BI

πŸ“« Let's Connect:

LinkedIn Portfolio Email

πŸ“Š GitHub Stats:

Sai's GitHub stats

πŸ”₯ Featured Projects:

AI recommendation system with Multi-Armed Bandit optimization. +40% revenue improvement proven through A/B testing.
Python BERT FAISS Multi-Armed Bandit Docker MLOps

MustangsAI πŸŽ“

RAG-powered AI campus assistant for MSU Texas with document ingestion and intelligent query handling.
LangChain RAG NLP FastAPI Vector DB

FreshCast-AI πŸ₯

Demand forecasting system for small bakeries using time-series analysis and ML.
Python Forecasting Time Series ML


πŸ’­ Quote I Live By:

"The best way to predict the future is to build it." - Alan Kay


About

A brief introduction of what i love to do.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published