Brad Ochocki

I'm a Data Scientist specializing in building end-to-end Machine Learning pipelines from scratch.

I write production-ready code that is readable, reliable, and scalable.


Experience

Senior Data Scientist, Data Team Leader

Croptix | Remote

Croptix has developed a proprietary optical method that can look inside leaves to identify indicators of crop disease. This technology is field deployable, allowing growers to rapidly and economically screen large areas on a recurring basis, and manage diseases as early as possible.

I lead Croptix's Data Team in developing machine learning models to identify and report crop disease using our patented measurement device.

NOV 2018 - Present

Data Scientist

MealPal | New York City, NY

MealPal is a subscription service that provides members with hundreds of lunch choices near where they live or work for a flat, monthly fee. Users can discover new restaurants and save money, while restaurants can increase revenue during their busiest hours of the day.

Developed time-series models to predict customer ordering behavior across MealPal's international markets, including North America, Europe, Australia, and Asia.

JUN 2018 - NOV 2018

Data Science Fellow

Insight Data Science | Seattle, WA

Insight is an intensive seven week post-doctoral training fellowship bridging the gap between academia and data science.

I created Skua, a Chrome extension that automatically filters out abusive Twitter content in real time.

JAN 2018 - MAY 2018

Consultant Data Engineer

Apex Systems | Houston, TX

Apex Systems specializes in providing IT professionals for contract, contract-to-hire and direct placements.

Optimized an in-house machine learning pipeline for accuracy and computational performance via hyperparameter tuning.

SEP 2017 - DEC 2017

Graduate Research Associate

In the U.S. alone, invasive species cost more than $100 billion annually in economic and environmental losses. These losses affect agriculture, forestry, fisheries, and transportation infrastructure.

I designed experiments and simulations to quantify causal relationships between invasions and the evolutionary processes that can accelerate them.

My research was featured in Nature Research Highlights and the BBC World Service.

AUG 2012 - AUG 2017

Consultant R Developer

Simplify Healthcare provides niche software solutions and services to Health plans and third party administrator (TPAs), so they can navigate the rapidly changing market landscape.

Refactored legacy survey analytics software for a client that provides market research to Fortune 500 companies.

OCT 2015 - NOV 2015

Education

Rice University

PhD, Ecology and Evolutionary Biology
2017

University of Nottingham

MRes, Evolutionary Biology
2011

University of Rochester

BS, Biomedical Engineering; Minor in Mechanical Engineering
2008

Skills

Programming Languages & Tools
  • Python (numpy, pandas, scikit-learn, Keras, package development)
  • R (tidyverse, RMarkdown, RStan, rjags)
  • Julia
  • SQL
  • MATLAB
  • C#
  • HTML
  • CSS
  • Git
  • Jupyter
  • Airflow
  • Flask
  • Periscope
  • LaTeX
  • QGIS
Techniques
  • Machine Learning
  • Building Analytics Pipelines
  • Timeseries Forecasting
  • Hierarchical Statistical Models (Bayesian and Frequentist)
  • Stochastic Simulation Models
  • Mathematical Models
  • Model Selection
  • Experimental Design
  • Image Processing