About

I'm a data scientist who somehow ended up loving both genomics and heavy equipment, which says more about how transferable good statistical thinking is than it does about my grand career plan. Over the past decade-plus I've built data pipelines, predictive models, and productionized ML systems for teams that needed to make real calls about how to price a used excavator, which genetic variant to trust, or which data to prioritize. Currently, 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 enjoy roles that are part data science and part translation, turning a model's output into something an executive can actually use to make a decision.

Experience

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

  I lead the development and deployment of 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 and own 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 different sales channels.

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

  I owned and drove the ML and analytics strategy across a multi-billion dollar product pipeline, pushing prediction accuracy up by 42% and generating more than $10M a year in value. I collaborated with cross-functional teams to productionize models and pipelines. I hired and mentored data scientists, and helped the team stay steady through a reorg.

• 
  Sr. Data Scientist – Genomics
  Jul 2020 – Jun 2023 · 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. One of my favorite projects was using genomic data from public domain to generate internal resources, which saved the company $500K. In another project, I applied Gaussian mixture model to improve true variant detection, which led to a 70% increase in the number of variants that could be used for downstream analysis.

• 
  Data Scientist – Computational Genetics
  Nov 2018 – Jul 2020 · Bayer

  I built an interpolation algorithm and served it via an R Shiny app that cut genomic coordinate conversion time by 90%. I designed hypothesis-driven experiments to characterize genetic variants, the kind of groundwork that makes later discovery work possible. I developed a method with greater statistical power to identify more gene-editing targets. I applied mixed-integer programming to optimize haplotype calling, increasing accuracy by 5% and reducing gaps in genome coverage. I solved a long-standing sample mix-up problem by developing a parent-progeny-trio QC framework, achieving 100% accuracy in identifying mislabeled samples and preventing future errors.

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

  During my PhD and postdoc, I developed sequencing-based methods to detect genome deletions and mapped insect-resistance genes in wheat, resulting in drought-resistant varieties that need less pesticide. I applied principal component analysis and hierarchical clustering to identify a novel population group, contributing a new source of genetic variation to the wheat research community. I applied mixed-model regression to map insect-resistance loci in the wheat genome, supporting trait discovery and breeding decisions.

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 — see the full list on the Publications page

• Code on GitHub