Experience

Rippling

• United States
• Software Development
• 700 & Above Employee

• Senior Data Scientist, Marketing

  • Nov 2022 - Present



Tatari

• United States
• Advertising Services
• 200 - 300 Employee

• DS Manager IV

  • Mar 2022 - Nov 2022

• Data Scientist II

  • Mar 2021 - Mar 2022

• Data Scientist

  • Feb 2020 - Mar 2021



Genius Sports

• United Kingdom
• Software Development
• 700 & Above Employee

• Data Scientist

  • Jun 2019 - Dec 2019

  Developed analytical models (machine learning and probabilistic) and Monte Carlo simulators to accurately model in-game match outcomes for MLB and NFL fixtures. All work was implemented in a Python production environment. Developed analytical models (machine learning and probabilistic) and Monte Carlo simulators to accurately model in-game match outcomes for MLB and NFL fixtures. All work was implemented in a Python production environment.



Control Risks

• United Kingdom
• Business Consulting and Services
• 700 & Above Employee

• Consultant (Data Analytics)

  • Feb 2019 - Jun 2019

  Analyzed conflicts-of-interest, corruption networks, economic and political risk for clients utilizing various techniques such as natural language processing (NLP), machine learning, and descriptive analytics. Analyzed conflicts-of-interest, corruption networks, economic and political risk for clients utilizing various techniques such as natural language processing (NLP), machine learning, and descriptive analytics.



OpenEye, Cadence Molecular Sciences

• United States
• Software Development
• 100 - 200 Employee

• Scientific Software Engineer

  • Jul 2018 - Sep 2018

  Applied various machine learning algorithms to problems related to preclinical drug discovery with the goal of reducing costs of R&D development Applied various machine learning algorithms to problems related to preclinical drug discovery with the goal of reducing costs of R&D development



Takeda

• Japan
• Pharmaceutical Manufacturing
• 700 & Above Employee

• Reasearch Associate II - Medicinal Chemistry

  • Sep 2015 - Oct 2017

  Multi-parameter optimization of potential therapeutics through data driven decision making. Due diligence of competitive landscapes and potential industry partners.

• Research Associate I - Medicinal Chemistry

  • Nov 2014 - Sep 2015



Sirenas

• United States
• Biotechnology Research
• 1 - 100 Employee

• Research Associate - Medicinal Chemistry

  • Feb 2014 - Nov 2014



Caltech

• United States
• Research Services
• 700 & Above Employee

• Graduate Student Researcher

  • Sep 2013 - Feb 2014



UCLA

• United States
• Higher Education
• 700 & Above Employee

• Undergraduate Researcher

  • Dec 2011 - Jun 2013

  UCLA Chemistry and BiochemistryProfessor Neil Garg's Laboratory

• Assistant II

  • Aug 2011 - Jun 2013

  UCLA School of Engineering - Office of Academic and Student Affairs