ConocoPhillips

Senior Crude Strategist Houston, Texas Feb 2026 - Present
  • Founding member of the market analysis team building fundamental models and analytic systems for crude trading.
  • Created “Lighthouse”, the flagship commercial analytics platform that was scaled to four commercial trading groups covering the whole of ConocoPhillips’ portfolio.

PetroChina International, Americas

Refined Products Analyst Houston, Texas Sept 2025 - Jan 2026
  • Worked on a physical refined products desk primarily covering heating oil/ULSD.
  • Built and maintained US supply and demand balances for middle distillates, providing forecasts, market updates and views.
  • Developed a lightweight analytics platform framework to facilitate rapid dashboard construction using Plotly/Dash, FastAPI, Redis and Docker.

Genevalytics

Co-Founder Geneva, Switzerland Apr 2025 - July 2025

Koch Supply & Trading

Data Scientist, Front Office Geneva, Switzerland Nov 2023 - Apr 2025
  • Worked on a derivatives trading desk specializing in crude oil and refined products.
  • Built a global petroleum supply and demand balance model and provided forecasts and market updates.
  • Modeled Commodity Index Fund flows using CFTC data.
  • Conducted ad-hoc oil market research and analysis using ship tracking, refinery turnarounds and crude balance data.
  • Developed dashboards for traders in Plotly.
Data Scientist, Front Office Houston, TX Feb 2022 - Nov 2023
  • Worked for the physical crude trading desk serving dual roles as individual contributor and project manager.
  • Coordinated data acquisition and analytic tool development for front office with IT.
  • Led the development of systematic trading algorithms and tools written in Python.
  • Became an expert in CFTC Commitment of Traders data, conducted statistical analysis and built a reporting application in Dash with a Redis, AWS S3 and Lambda backend.
  • Developed an end-to-end crude oil blending application in AWS and Plotly/Dash which enabled near real-time identification of blend arbitrage opportunities.
  • Reformulated a complex legacy crude oil blending model via linearization, reducing solve time from ~20 minutes to sub-second and yielding exact solutions instead of approximations.
  • Created a linear programming model of supply/demand matching and user-interface in Dash deployed to AWS with a Lambda and S3 backend.
  • Forecasted pipeline flows and refinery utilization rates using R.

Sysco

Data Scientist Houston, TX Sept 2020 - Nov 2020
  • Conducted analysis using Python and SQL before I unfortunately had to take medical leave.

C.H. Robinson

Data Scientist Minneapolis, MN Sept 2018 - Sept 2020
  • Served as an individual contributor on the contractual pricing and supply chain visibility teams for the largest North American ground freight broker.
  • Maintained and improved long-term price forecasting system spanning five repositories in R and Python deployed as Dockerized microservices on Linux servers.
  • Applied changepoint detection and causal impact analysis to identify prices surges during beginning of COVID and mitigate their impact on price forecasts.
  • Developed performance metrics for benchmarking the forecasting tool and create reports analyzing its efficacy for various business use-cases
  • Analyzed economic and internal demand time-series data and produced high-quality reports and visualizations in RMarkdown
  • Formulated contract pricing optimization framework in Python for combining cost and volume forecasts and bid-win models.
  • Contributed to the development of an explanatory model for freight shipment delays. Results featured in main customer-facing platform.
  • Developed a repeatable model deployment pattern using Docker, Flask, Kafka and Airflow.
  • Mined GPS data to identify the locations of truck stops, travel times and driver behavior using custom clustering algorithm.
  • Created a custom deep learning architecture for training categorical embeddings in Keras and Pytorch.
  • Wrote internal training materials for Apache Kafka with Python; developed internal packages and APIs; worked with Hive and Postgres databases.

phData, Inc

Data Engineer Intern Minneapolis, MN June 2018 - August 2018
  • Built a streaming “internet-of-things” data pipeline to capture flow telemetry from beer kegs with an integrated recommender system connected to Slack (similar to MS Teams).
  • Programmed a microcontroller and mini-computer to process data using Python.

First Community Housing

Data Analyst (Contract) San Jose, CA March 2018 - July 2018
  • Analyzed crime data using Python to determine if new management policy lowered crime rates around an affordable housing complex.