About

I'm a data scientist who somehow ended up loving both genomics and heavy equipment pricing — which says more about how transferable good statistical thinking is than it does about any grand career plan. Over the past decade-plus I've built predictive models and production ML systems for teams that needed to make real calls: how to price a used excavator, which genetic variant to trust, which crop trait to chase next. Right now I lead pricing and valuation analytics at Caterpillar. Before that, I spent nearly seven years at Bayer, where I built genomic data science capability that translated into impactful outcomes across different organizations. I like the part of this job that's equal parts statistics and translation — turning a model's output into something an executive can actually use to make a decision.

Experience

• 
  Jun 2025 – Present · Sr. Data Scientist, Pricing & Applied AI · Caterpillar

  I lead the ML models behind CAT Used Price Advisor, a tool dealers use to value more than 70,000 machines — collectively worth over $12 billion. I also built a hedonic price index that separates real market movement from quality differences, which CAT Financial and senior leadership now use to sharpen pricing strategy across sales channels.

• 
  Jun 2023 – Jun 2025 · Principal Lead Data Scientist · Bayer

  I set the ML and analytics strategy across a $4 billion product pipeline, pushing prediction accuracy up by 42% and generating more than $10M a year in value. I also hired and mentored two data scientists and helped the team stay steady through a reorg.

• 
  Jul 2020 – Jun 2023 · Sr. Data Scientist · Bayer

  I built a unified genomic feature repository in BigQuery that became the team's single source of truth, and developed an imputation algorithm that took usable data return from 30% to 92% per feature — a big enough jump that it earned me a Top Performance Award.

• 
  Nov 2018 – Jul 2020 · Data Scientist · Bayer

  I built an R Shiny app that cut genomic coordinate conversion time by 90%, and spent a lot of time designing experiments to characterize genetic variants — the kind of groundwork that makes later discovery work possible.

• 
  Aug 2013 – Nov 2018 · Research Assistant & Postdoc · Kansas State University

  During my PhD and postdoc, I developed sequencing-based methods to detect genome deletions and mapped insect-resistance genes in wheat — research aimed at breeding varieties that need less pesticide.

Education

• Ph.D., Genetics & Bioinformatics

  Kansas State University · Manhattan, KS

• M.S., Plant Breeding & Statistics

  New Mexico State University · Las Cruces, NM

• B.Sc., Agriculture

  Punjab Agricultural University · Ludhiana, PB, India

Skills

Data Science

Tech Stack

Leadership

Publications

Most of my published work is on genomics and quantitative genetics from my research years.

• 14 scientific publications — Google Scholar

• Code on GitHub