Priyank Sahu

Data Scientist with 5+ years of experience building Generative AI, machine learning, and data-driven solutions. Skilled in Python, LLMs, RAG, LangGraph, FastAPI, and SQL, with hands-on experience developing agentic AI workflows and enterprise supply-chain analytics. Focused on building reliable, grounded AI applications end to end — from data ingestion and orchestration through validation and deployment.

AI Engineer at Bristlecone (2026-02 – Present)

• Developed an AI-assisted GitHub PR Blast-Radius Predictor that analyses pull-request changes, identifies impacted dependencies, and recommends risk-focused test coverage.
• Built a Multimodal Meeting Intelligence Assistant that turns meeting audio and transcripts into searchable summaries, decisions, action items, and contextual answers.
• Engineered LangGraph-based agentic AI orchestration that routes user questions through stateful chains of deterministic data services and LLM steps, grounding every response in pre-computed supply-chain context.
• Implemented data mapping, aggregation, hierarchy, and document-level validation for an SAP IBP Demand Fulfillment solution, enabling drill-down analysis across Product, Location, Product Family, Product-Location, Supply Documents, and Primary Demand.

Consultant at Fractal Analytics (2023-09 – 2026-01)

• Built an end-to-end survey analytics solution in Python and R integrating multi-source data, improving data-processing efficiency by 40% and supporting data-driven client decisions.
• Developed a RAG-based chatbot with source citations linking users directly to the relevant PDF pages, improving answer transparency and traceability.
• Delivered GenAI solutions including a PDF-to-Podcast pipeline (summarization, transcription, narration, video generation) and a Text-to-SQL agent for natural-language querying, insight generation, and visualization recommendations.
• Designed interactive dashboards with NLP-based sentiment analysis, automated Excel workflows in Python saving 20+ hours per month, and optimized PySpark scripts for Azure Databricks migration.

Consulting Analyst at IHS Markit (2021-02 – 2023-06)

• Built regression and classification models achieving approximately 85% forecasting accuracy.
• Automated data-extraction and translation workflows, saving 7+ hours per week.
• Developed BI dashboards and geographic visualizations to support strategic decision-making.

Consultant at SBI Mutual Funds (2020-11 – 2021-01)

• Conducted portfolio analysis to support investment-policy optimization.

MSc in Applied Statistics – Symbiosis International University, Pune (2018 – 2020)

BSc in Statistics – Mumbai University, Mumbai (2015 – 2018)