Shreyash Tembhurne

I’m a data professional with 4+ years of experience across data science, analytics engineering, and business intelligence. I build production-grade ML models, end-to-end data pipelines, and dashboards that drive decisions across cross-functional teams.

My work focuses on measurable impact—delivering 15% MAPE improvement in demand forecasting, reducing manual reporting effort by 30%, and processing 100,000+ daily records across multiple operational sources. I’m comfortable moving between structured and unstructured data while translating complex analysis into actionable business insights.

I lead the full lifecycle: data ingestion and transformation, feature engineering (including lag features, rolling statistics, and seasonal decomposition), temporal validation strategies, and robust model evaluation. I also communicate uncertainty and confidence intervals to non-technical stakeholders through clear visualizations and narratives.

Across pipelines and BI, I design reliable ETL/ELT workflows with data quality and schema validation, and I deploy 6–8 production-grade Tableau dashboards for KPI monitoring and self-serve exploration. I’ve also mentored junior analysts and interns, and I’m currently building a privacy-aware AI finance analytics system using PyTorch, NLP, and GenAI.