Experience

SentiLink

• United States
• IT Services and IT Consulting
• 1 - 100 Employee

• Senior Data Scientist

  • May 2023 - Present

• Data Scientist

  • Jun 2022 - May 2023



Sift

• United States
• Online Media

• Senior Data Scientist

  • Feb 2022 - May 2022

  Designed and implemented a fully automated pipeline for graph-based fraud ring detection using PySpark and GraphFrames that identified $2.5M of potential fraud for manual review monthly

• Data Scientist

  • Nov 2020 - Feb 2022

  Led root cause investigation of ML model instability, developed procedure with product & ops teams to migrate 100 customers off of the problematic model, and built data science tooling to reduce future investigation time



NS8 Inc

• United States
• Technology, Information and Internet
• 1 - 100 Employee

• Data Scientist

  • Jul 2020 - Sep 2020

  Built a prototype of a graph data product using Neo4j for fraud ring detection that showed a 30% reduction in order fraud Built a prototype of a graph data product using Neo4j for fraud ring detection that showed a 30% reduction in order fraud



Thumbtack

• United States
• Software Development
• 700 & Above Employee

• Product Analyst

  • Oct 2019 - Mar 2020

  Identified 10x opportunity for user recovery by focusing on mobile app users vs web users, conducted feature sizing analysis to estimate the potential impact of new features Identified 10x opportunity for user recovery by focusing on mobile app users vs web users, conducted feature sizing analysis to estimate the potential impact of new features



Vectra AI

• United States
• Computer and Network Security
• 400 - 500 Employee

• Data Science Intern

  • Jun 2019 - Sep 2019

  Developed a novel data augmentation approach for multi-dimensional time series data that improved data imbalance by 100x and reduced false positives of production LSTM model by 39% while maintaining recall Developed a novel data augmentation approach for multi-dimensional time series data that improved data imbalance by 100x and reduced false positives of production LSTM model by 39% while maintaining recall

• Product Analytics Intern

  • Jun 2018 - Sep 2018

  Focused on improving the experience of customers (individual consumers) on the Thumbtack platform through analytics. Worked on funnel/conversion analysis, A/B testing & experimentation, and an internal tool for PMs to estimate the impact of features on the north star metric Focused on improving the experience of customers (individual consumers) on the Thumbtack platform through analytics. Worked on funnel/conversion analysis, A/B testing & experimentation, and an internal tool for PMs to estimate the impact of features on the north star metric