Data Engineering Associate

• Mar 2023 - Present

Senior Data Engineering Consultant

• Mar 2022 - Mar 2023

Identified and presented operations performance metrics most predictive of customer retention based on multivariate analysis to national-level stakeholders of a major automotive company.Increased quantity of sales and operations data collected per-appointment by suggesting changes to sales consultant mobile application layout and underlying data gathering mechanism.Improved data availability to all stakeholders by providing guidance upstream – by modifying live data API’s, adding metrics, correcting scripting errors, and performing data transformations. Built data cubes relating disparate vehicle, service, and financial product performance and dealer identity data. Show less

Consultant

• Jul 2021 - Mar 2022

Student Technical Consultant

• Mar 2021 - Jun 2021

Created actionable marketing, capital investment, and pricing recommendations in particular geographic clusters based on agglomerative cluster analysis (using R), random forest analysis of sales, pricing, and performance data. Consolidated data from separate data schema using SQL and Oracle DB to create a lean data model tailored to client's high-priority metrics. Awarded top consultant team by AVP of Mobility Business Analytics at AT&T. Created actionable marketing, capital investment, and pricing recommendations in particular geographic clusters based on agglomerative cluster analysis (using R), random forest analysis of sales, pricing, and performance data. Consolidated data from separate data schema using SQL and Oracle DB to create a lean data model tailored to client's high-priority metrics. Awarded top consultant team by AVP of Mobility Business Analytics at AT&T.

Healthcare Analyst Intern

• Jan 2020 - May 2020

Conducted time series analysis using R with healthcare claims data to forecast changes in utilization and cost of medical services and devices affected by pending legislation. Used SAS and SQL to clean, extract, and merge insurance claims data from healthcare providers across CA. Applied R, Excel, and Tableau, to generate an interactive model of projected changes in utilization and cost of health services resulting from a bill's passing, used to inform voting members of the California Legislature. Show less

Research Director

• Aug 2016 - Dec 2017

Performed regression analysis and hypothesis tests comparing team and player performance to demonstrate the merit of certain coaching strategies and compatibility of teammates. Taught fundamental R and statistics for sports analytics to new members. Research featured on Scout.com, 247sports.com, bearterritory.net. Performed regression analysis and hypothesis tests comparing team and player performance to demonstrate the merit of certain coaching strategies and compatibility of teammates. Taught fundamental R and statistics for sports analytics to new members. Research featured on Scout.com, 247sports.com, bearterritory.net.

Market Research Intern

• Jun 2017 - Oct 2017

Conducted research identifying soccer as the most lucrative sports market for a film software product. Integrated market data to identify factors impacting cost of participation across sports markets. Interviewed over 100 athletic directors and coaches representing university and private sports organizations to gather data on organizations’ film budgets and identify critical video hardware and software features. Presented data visualizations generated with Tableau and Python Seaborn library to FieldVision executives. Assisted in developing video classification algorithms for FieldVision’s software. Show less

Economic Research Assistant

• Jan 2017 - Jun 2017

Applied web scraping and pattern search algorithms with Python to identify past state-level reforms comparable to recent Affordable Care Act reform proposals, using outcomes of state policies to extrapolate the nationwide public health impact of these proposals. Utilized R to generate time-series data analysis and forecasting of government healthcare expenditures. Research was presented as a lecture in an accredited, undergraduate Economics course at UC Berkeley. Applied web scraping and pattern search algorithms with Python to identify past state-level reforms comparable to recent Affordable Care Act reform proposals, using outcomes of state policies to extrapolate the nationwide public health impact of these proposals. Utilized R to generate time-series data analysis and forecasting of government healthcare expenditures. Research was presented as a lecture in an accredited, undergraduate Economics course at UC Berkeley.

Marketing Analyst Intern

• May 2015 - Aug 2015

Doubled monthly engagement and conversion rates for event sign-ups and online donations using Google AdWords and Google Analytics without increasing marketing budget Proposed, oversaw layout and content changes to website landing pages to improve campaign performance Led a Google AdWords, Analytics training for full-time marketing and fundraising staff Doubled monthly engagement and conversion rates for event sign-ups and online donations using Google AdWords and Google Analytics without increasing marketing budget Proposed, oversaw layout and content changes to website landing pages to improve campaign performance Led a Google AdWords, Analytics training for full-time marketing and fundraising staff