Khosrow Naderi

I’m a Data Scientist and data engineering professional focused on building reliable pipelines and decision-ready analytics. At Propane Education & Research Council, I designed ETL workflows to ingest and transform variable data sources (including marketing and analytics data) and architected cost-optimized Snowflake data infrastructure.

I build end-to-end analytics pipelines that capture event- and session-level signals, define success metrics, and translate them into actionable views for multi-channel performance. I also develop machine learning models for energy market forecasting—using Python and scikit-learn—to improve forecast accuracy (including a documented 14% gain) and support planning decisions.

I turn operational needs into scalable solutions, from automated data ingestion (Snowpipes/stages) to analytics dashboards and reporting. I’ve also delivered enterprise-ready AI agents in Microsoft Copilot Studio, such as an internal knowledge tool that retrieves information from documents to provide exact answers for staff queries.

Earlier, as a 1R&D Engineer / Data Scientist at TenEx Technologies, I mined and analyzed energy datasets to produce business intelligence and white papers, using regression and classification to quantify product impacts. I also contributed to growth efforts—expanding sales from $0 in 2017 to $5M in 2021—and built systems like an MRP approach to optimize inventory and delivery across time-sensitive projects.