Austin Zaccor Email & Phone Number

Seattle, WA, US

San Francisco, CA, US

San Francisco, CA, US

* Advises hundreds of customers on a wide array of LLMOps and MLOps tooling, strategy, and implementation* Awarded Field Engineering Rookie of the Quarter during first year

Los Angeles, CA, US

• Revolutionized company’s main location optimization algorithm, transforming local R scripts into a fully cloud-hosted ML pipeline written in Python and Spark, increasing speed by over 50X
• Designed, built, and implemented kWh demand forecasting model, increasing real world accuracy by over 60% from existing method
• Implemented data science best practices such as cloud-hosting, parallelization, version control, and Jira documentation
• Provided data science and analytics consulting to other teams, evaluating strategies and methodologies

Seattle, WA, US

• Overhauled company’s understanding of agent onboarding and retention by line of insurance; created analyses to monitor key performance metrics for senior leadership
• Improved compensation for thousands of private contractors by adding a residual component to agent pay, proving both increased pay equity and alignment with profitability in a custom back-testing simulation written in.
• Enriched the feature set and increased AUC for production models during annual and open enrollment periods, providing substantially improved segmentation of policy sale predictions
• Leveraged sklearn's density-based spatial clustering algorithm to inform customized outreach campaigns to different groups of Medicare agents, resulting in higher email response rates

Cambridge, MA, US

• Collaborated with Professor Jacquelyn Pless on a solar energy project to calculate the effect of having in-home display units on household clean energy usage and substitution rates
• Assisted in data collection and cleaning from the PATSTAT database to gather data on whether or not certain incentives drive clean innovation in the United Kingdom

Cambridge, MA, US

• Conducted comparative study of outlier removal and censorship techniques using Mixed Integer Optimization (MIO) formulations in Julia
• Contributed to existing outlier robustification literature by developing a new method based on Cook's distance that bounds the influence of high leverage extreme points
• Code and report published on GitHub under an MIT open source license

Cambridge, MA, US

• Developed predictive models in Python and R, leveraging multiple imputation by chained equations (MICE), logistic regression, and optimal classification trees to decrease workplace injuries and fatalities for global.
• Analyzed the performance of safety training programs on mitigating workplace safety hazards using unsupervised learning techniques

Saint Laurent In Montreal, Quebec, CA

• Co-developed an automated engine to flag fraudulent bookings, saving revenue and preventing inventory abuse

Seattle, Washington, US

• Delivered customer satisfaction prediction algorithm using SQL Server, Python, and DataRobot, leveraged for skill-based call routing and increasing profitability of referral campaigns
• Developed cloud-based email classifier in Python to sort incoming customer service emails into appropriate queues, streamlining response process and improving service levels
• Improved enrollment forecasting method by 20%, creating a seasonally adjusted multiple linear regression model using R and DataRobot
• Taught data analysis skills to 48 managers and ICs during weekly office hours to improve company-wide usage of Excel, SQL, and SiSense (BI dashboard software)

Berkeley, CA, US

• Analyzed and visualized student housing survey data using R, Tableau, and Excel for use by executive level administrators
• Collaborated with students and professionals to determine appropriate statistical techniques for analyzing Likert scale, demographic, and free-text data
• Conducted significance tests to assess changes in performance over various metrics

Berkeley, CA, US

• Led and advised a diverse group of 60+ freshman, transfer, and graduate students in social, academic, and professional development through various community programs and events
• Promoted to Apartment Assistant and served as student lead for a housing complex of over 300 graduate and transfer students

Berkeley, CA, US

• Prepared and led an engaging mathematics curriculum of lectures and project based learning
• Instructed a diverse array of topics to over 30 elementary and middle schoolers, including geometry, algebra, basic trig, and celestial navigation

San Jose, CA, US

• Forecasted future demand for Bay Area Rapid Transit (BART) extension into Silicon Valley

Master Of Business Analytics, Data Science

Bachelor'S Degree, Economics

Bachelor’S Degree, Economics