Experience

Genvid Entertainment, Seattle, WA July 2022 – Feb 2024

VP of Data and Machine Learning

  • Created the company’s data strategy and AWS/Snowflake infrastructure for user and marketing analytics and ML.
  • Built and grew the data science and data engineering teams that designed and built the company’s data platform, analytics pipelines and dashboards.
  • Mentored and helped develop mentors within the data teams and worked with reports to create a data culture in the company.
  • Collaborated with app development, marketing, operations, and product teams to build and improve our products and processes based on data team’s predictive analytics.
  • Led the evaluation and contract negotiations for data product tools (Snowflake, AI tools).
  • Researched and instituted the first generative AI models for company products and processes, including use cases for content moderation, username acceptability, machine translation, and marketing copy generation.
  • Drove investment and head count decisions on data and marketing platforms. Reduced costs by 80% compared to legacy platform.

ActZero, Seattle, WA Dec 2021 – June 2022

Director of Data, Machine Learning & Security Engineering (cybersecurity)

  • Built the data teams, function, and strategy for a cybersecurity detection and response business. Led cross functional teams of data scientists, engineers, and security experts.
  • Rapidly built the product that created over 200 cyberthreat detections with development of heuristics, ML and foundation AI models across customers’ environments for endpoint, network, and cloud threats.
  • Created detection enrichment analytics and surfaced these to the customer.
  • Developed demo products for Sales and efficacy testing products for Sales and internal use.
  • Increased release velocity more than 20 times.
  • Maintained a very low employee attrition rate of < 5% per year.

ActZero, Seattle, WA Dec 2019 – Dec 2021

Director of Data Science and Machine Learning

  • Built and led the Data Science and Machine Learning team.
  • Built the defensive machine learning-based security product for the company, taking the product from zero to more than one hundred heuristic and ML-based detections and from covering only computers and servers to covering three SaaS and IaaS platforms.
  • Set company level data strategy and established departmental level KPIs.
  • Partnered with product teams and internal users to understand their needs and go from business requirements to solutions that improved efficiency by more than 100%.
  • Collaborated with CTO to create a growth and talent development process for data scientists, security engineers, and software engineers.
  • Built the first ML models to detect cyberthreats (scripting attacks). Reduced false positives by 99.9%.

Indeed Inc., Seattle, WA July 2018 – Dec 2019

Data Science Manager

  • Managed a cross functional data and engineering team focused on resume understanding and improvements for job seekers.
  • Set and tracked OKRs based on data analysis and opportunity sizing for future product features.
  • Helped the leads of the five engineering teams design and analyze AB tests and led the team in developing AB testing analysis infrastructure.
  • Developed generative text AI for suggesting full sentences for resumes, resume improvement models, and resume scores for job seekers.
  • Developed a Scala library to automatically standardize text for resume understanding.

TiVo Corporation (formerly Rovi), Boston, MA Dec 2016 – July 2018

Senior Data Science Manager

  • Led the Advanced Predictions and Optimization teams.
  • Developed long term strategy with the VP of Product to provide advanced ML products to optimize and improve advertising campaigns.
  • Spearheaded the development and implementation of machine learning TV audience size predictions in our products, resulting in a $4 million contract with a major TV network family.
  • Worked with engineers to develop data models optimized for production and data science research.
  • Worked closely with customers to make use of the ML models for their production use cases.
  • Built ensemble machine learning models for TV audience size prediction.
  • Built an AI model to predict TV program viewership.
  • Co-developed frequentist and Bayesian models for prediction confidence scoring.

Rovi Corporation, Boston, MA Sep 2014 – Dec 2016

Data Scientist

  • Developed a TV cross-channel optimization function that maximizes target audience reach.
  • Built ML for time-based predictions of television ratings (improved error by 33%).
  • Used propensity scoring analysis to create an attribution model for watching a television program.
  • Collaboratively built a new data ETL with PySpark.

Insight Health Data Science, Boston, MA July 2014 – Sep 2014

Data Science Fellow

  • Developed an individualized training web app for runners.
  • Scraped training data from thousands of app users for model building. Created a model that predicts half marathon times and makes training suggestions to improve time.