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Senior Staff Machine Learning Engineer at Zscaler
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of Northern Colorado
Bachelor of Science - BS, Earth Sciences and Mathematics (dual degrees), Computer Science minor
January 1, 2006 – January 1, 2010
Zscaler
Senior Staff Machine Learning Engineer
August 1, 2023 – Present
Zscaler
Staff Machine Learning Engineer
April 1, 2022 – August 1, 2023
Zscaler
Senior Machine Learning Engineer
November 1, 2019 – April 1, 2022
Delta Brain Inc.
Machine Learning Engineer
August 1, 2016 – April 1, 2019
Pasadena, CA
University of Miami, Rosenstiel School of Marine and Atmospheric Science
National Science Foundation Graduate Research Fellow
August 1, 2010 – January 1, 2016
Coral Gables, FL
National Oceanic and Atmospheric Administration
Hollings Scholar
December 1, 2008 – May 1, 2010
Boulder, CO
Top 10 finishes in Kaggle ML competitions
January 1, 2013 – Present
Finished in the top 10 in three different competitions: • 6th place, General Electric Flight Quest 2: Optimized flight routes as a function of weather and traffic. • 7th place, Dogs vs. Cats: Trained convolutional neural nets (CNNs) to distinguish dogs from cats. • 10th place, Right Whale Recognition: Identified individual whales in aerial photographs using CNNs. Kaggle profile: http://www.kaggle.com/dougkoch
Cultural Fit Analysis
The candidate's experience is heavily skewed towards Machine Learning Engineering and scientific research, which is a strong technical background. However, the target role is 'Data Analyst'. While there's overlap in data manipulation and analysis, the depth of ML engineering might indicate a different career trajectory or expectation. The project diversity is good within the ML/data science domain, but the direct alignment with a pure 'Data Analyst' role, which often involves more business intelligence, reporting, and less advanced modeling, is not perfectly clear. The candidate's experience level (16 years) is very high for a typical Data Analyst role, potentially indicating a mismatch in expectations or a desire for a more strategic, lead analyst position.
Soft Skills & Operational Fit
The candidate's project descriptions indicate strong problem-solving abilities and a results-oriented approach. Experience in leading development suggests leadership potential and project management skills. The Kaggle achievements highlight a competitive drive and continuous learning mindset. However, specific soft skills like teamwork, communication, and adaptability are not explicitly detailed in the provided data.