name: Deven Shah
location: New York, USA
role: Data Scientist @ University at Buffalo
education: MS Data Science
certified: AWS ML Engineer Associate
published: 4 papers (IEEE + Springer)tech = {
"ml": ["PyTorch", "TensorFlow", "scikit-learn"],
"data": ["PySpark", "Pandas", "SQL"],
"mlops": ["Docker", "MLflow"],
"cloud": ["AWS", "GCP"],
"llm": ["RAG", "LangChain", "Agents"]
}+ 🤖 [AI SQL Agent](https://github.com/ShahaDeven/AI_SQL_Agent)
! Natural language → SQL | 91.7% accuracy | 0.67s latency
+ 🤖 [E-Commerce Retention Analytics]([https://github.com/ShahaDeven/AI_SQL_Agent](https://github.com/ShahaDeven/Ecommerce_Cohort_Analysis))
! SQL + Tableau | $30.7M upside identified
+ 🤖 [SaaS A/B Testing Analysis]([https://github.com/ShahaDeven/AI_SQL_Agent](https://github.com/ShahaDeven/Saas_AB_Testing_Analysis))
! Bayesian | Frequentist
+ 🎓 Admissions Pipeline
! ML system for 3K+ applications | Explainable via LIME/SHAP
+ 📈 [Rossman Sales Forecasting](https://github.com/ShahaDeven/Rossman_sales_project)
! LSTM model | R²=0.944 | 200x inference speedup