Experience

Signifyd

• United States
• Software Development
• 400 - 500 Employee

• Data Scientist

  • Mar 2022 - Present



SingleStore

• United States
• Software Development
• 300 - 400 Employee

• Data Scientist

  • Aug 2020 - Mar 2022

  - First and lead data scientist at SingleStore. - Build machine learning models that provide insight into user behavior. Identified fraudulent user group, which led to a 20% reduction in fraudulent free trials. Projects include classifying 350M+ query statements and clustering 50K+ users based on web/product engagement. - Collaborate with data engineering team to productionize end-to-end ETL processes for new data sources using custom pipelines and procedures. - Use SQL and Python to… Show more - First and lead data scientist at SingleStore. - Build machine learning models that provide insight into user behavior. Identified fraudulent user group, which led to a 20% reduction in fraudulent free trials. Projects include classifying 350M+ query statements and clustering 50K+ users based on web/product engagement. - Collaborate with data engineering team to productionize end-to-end ETL processes for new data sources using custom pipelines and procedures. - Use SQL and Python to design and implement custom metrics that guide growth strategy. Show less



Rev

• United States
• Software Development
• 1 - 100 Employee

• Data Scientist

  • Oct 2019 - Apr 2020

  San Diego - Doubled the accuracy of models used to predict the industry of more than 4 million companies with BERT embeddings. - Implemented a PyTorch distilBERT model and automated quality checks on training data. - Developed a framework with Dask to evaluate a Word2Vec (W2V) based lookalike model. Identified and resolved three breaking bugs with data collection and W2V implementation. - Spearheaded the evaluation of LeadCrunch’s data coverage and accuracy, leading to the resolution of… Show more - Doubled the accuracy of models used to predict the industry of more than 4 million companies with BERT embeddings. - Implemented a PyTorch distilBERT model and automated quality checks on training data. - Developed a framework with Dask to evaluate a Word2Vec (W2V) based lookalike model. Identified and resolved three breaking bugs with data collection and W2V implementation. - Spearheaded the evaluation of LeadCrunch’s data coverage and accuracy, leading to the resolution of major flaws in webscrape processing.

• Data Analyst

  • Nov 2018 - Oct 2019

  - Built a pipeline to monitor LeadCrunch's KPIs with data from MongoDb and Redshift data warehouses. Created two interactive dashboards for executives using HoloViews and Panel. - Worked as an embedded consultant in a major client’s office to fine tune models in real time.

• Client Success Manager

  • Nov 2017 - Nov 2018

  San Diego - Technical liaison between customers and the internal data science team. - Managed digital marketing campaigns for 20+ enterprise customers each month



IKAR

• Legislative Action Coordinator

  • Jun 2016 - Jun 2017

  Los Angeles - Strategically recruited and trained volunteers for legislative advocacy work. - Organized a legislative agenda with an interfaith coalition across California.



University of California, Berkeley, Haas School of Business

• United States
• Higher Education
• 700 & Above Employee

• Senior Research Apprentice

  • Jan 2015 - Aug 2015

  - Analyzed the performance of unconventional pricing schemes using data from weekly field studies. - Instructed novice researchers on the development of unbiased data acquisition tools.