Pavan Naik

About Pavan Naik

I build machine learning and GenAI systems that turn messy, high-volume marketing data into clear decisions on where to invest, what to test, and how to grow.I’m currently a Senior Data Scientist at Annalect, working across AWS and GCP on problems that run end-to-end, from raw data to leadership strategy. Most of what I build is in production, and sits at the intersection of ML, causal measurement, and large-scale data platforms.Some of the systems I’ve shipped:A customer segmentation pipeline using BigQuery ML and Vertex AIA Markov-chain multi-touch attribution framework for channel investment and scenario planningA cross-platform GenAI NL2SQL solution that allows non-technical teams to query data across BigQuery, Redshift, ADH, AMC, and StarburstAutomated ML workflows that cut runtimes by 10+ hours and removed the majority of manual processingThe focus is always business impact not models for the sake of models. My work has helped drive measurement-based budget allocation, speed up decision cycles for leadership, and deliver analytics that teams actually use.A big part of my role is partnering with stakeholders to turn model output into action: what to fund, what to pause, and what to test next.

Experience

1. Senior Analyst, Data Science

   Annalect

   Aug 2023 — Present · Redmond, WA, US

Education

• University of the Cumberlands

  Master of Science - MS, Data Science

• University of Illinois Chicago

  Master of Science , Electrical and Computer Engineering

  2018 — 2020

• REVA University

  Bachelor of Engineering - BE, Electronics and Communication Engineering

  2013 — 2017