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.

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.