Quantitative Data Scientist with Experimental Expertise

William Bachrach

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*************@*****.*** billjbachrach.com 720-***-**** linkedin.com/in/bill-bachrach-0798608a/ Executive Summary

Senior data scientist with ten years of experience applying experimentation, statistical inference, and causal analysis to drive product decisions. I specialize in owning ambiguous problems, defining meaningful metrics, and partnering cross- functionally to translate data into clear, actionable insights using AI-assisted workflows.

• Senior Data Scientist with 10 years of experience

• Skilled in R, Python, SQL, AWS, AI, and high-volume data ingestion across varied domains

• Proven ability to unify large, diverse data sources into reliable, dynamic models and dashboards

• Time honed data storytelling strategies with an ability to convey concepts to technical and non-technical audiences Professional Experience

Owner and Senior Data Scientist Prancing Dog Motorcars LLC Denver, CO November 2023 –June 2025

Launched a data-driven used car dealership, leveraging self-built analytics tools for inventory and pricing decisions

• Designed and implemented custom R/Python scraping pipelines and AI tools that delivered timely market signals, producing clearer, faster, and more reliable inputs for purchasing decisions.

• Developed a production R workflow that identified undervalued vehicles on Craigslist and automated twice-daily alerts, improving sourcing consistency in a highly constrained and volatile market.

• Built an LLM-based classification AI system that filtered out low-quality or irrelevant listings by distinguishing project cars from viable runners, reducing noise and improving acquisition efficiency. Lead Data Scientist Yes! Communities

Denver, CO February 2024 –July 2024

Led predictive analytics, automation and data visualization initiatives for Yes!, a manufactured-housing investment firm

• Improved predictive-model accuracy by 7 percent using dynamic SQL data, producing more stable forecasts

• Delivered targeted data-science solutions that resolved automation failures and analytics bottlenecks across teams

• Built R-based scraping pipelines using novel data that refreshed key industry data daily, reducing latency and improving forecast quality

• Used LLM-based tools to streamline data validation, documentation, and ad hoc analysis, reducing manual overhead and improving clarity for non-technical stakeholders Director of Data Science Hodges Ward Elliott, Inc. New York, New York (remote) October 2016 –February 2024 Advanced from Data Scientist to Director, leading a nimble data science team at HWE, a commercial real-estate brokerage

• Mentored and managed data scientists, analysts, and freelancers, establishing workflows to support over $100 billion in closed transactions

• Created predictive models to identify high-upside properties under severe data constraints by ingesting, cleaning, and analyzing 41 million tax-document PDFs using AWS EC2, S3, and R

• Built a xgboost model (“black box”) using aforementioned tax-documents to identify high-potential investment targets, improving clarity on future acquisition opportunities

• Unified five independent housing datasets to produce 40 years of NYC trend insights, reducing uncertainty around rental oversupply

• Analyzed 51M NYC parking-violation records by obtaining, geo-locating, and cleaning the dataset to identify UPS’s highest ticket zones

• Created and deployed future multifamily sale-price models powered by newly mined datasets, enabling more accurate NYC market forecasts

• Found survey data dating to 1968, obtained via FOIA and cleansed without the aid of a data dictionary

• Pulled time-sensitive data from multiple APIs and delivered clear GGPlot visualizations for stakeholders

• Retained as sole data science consultant when a full data science department could no longer be supported Staff Data Scientist Messina Quantitative Research New York, New York October 2014 – May 2016

Served as the founding data scientist and built predictive models credited as essential to the client’s historic win

• Ran advanced statistical and ML analyses on large, complex datasets to support high-stakes campaign strategy

• Implemented the “social desirability bias wrapper” which significantly reduced bias and was put in over 50,000 surveys

• Leveraged a 58M-record SQL database to deliver rapid, actionable insights in a fast-paced production environment

• Integrated public, scraped, and paid datasets using Python to generate richer and more accurate analytical features Ph.D. Student / Instructor Florida State University Department of Political Science Tallahassee, Florida August 2012 – August 2014

Matriculating into FSU’s department of political science PhD program in 2012, I found my passion was in data itself.

• Served as instructor and taught highly technical material to class of 60 non-technical undergraduate students

• Conducted quantitative political science research using advanced statistical and computational methods

• Led team on original research analyzing impact of foreign public opinion on state support for U.S. foreign policy

• Pilot study on method for using Google search trends to proxy traditional public opinion polls Real Estate and Entrepreneurial Experience

Managing Director Prancing Dog CRE, LLC

Denver, CO May 2018 – Feb 2024

Prancing Dog CRE was a multifamily investment venture I started after exiting from the FIB partnership. While successful, I ultimately liquidated these assets to pursue Prancing Dog Motors.

• Purchased 90% stake in 13 unit workforce cash flow opportunity in Commerce City, CO followed by refinance of old debt, thus recouping a significant portion of equity invested

• Acquired 5% stake in 42 unit multifamily investment in Lakewood, CO General Partner and Data Strategist Floyd I. Bachrach Family Limited Partnership West Palm Beach, Florida January 2014 – May 2018

Assumed control of the Floyd I. Bachrach partnership after identifying misconduct and coordinating an amicable transition, then repositioned the portfolio from a depreciated strip mall into stronger multifamily investments

• Responsible for sourcing and analyzing public data to guide investment strategies

• Saved a turbulent family business by leading the transition to a new business model

• Turned $400k worth of assets into $6.75m with 18% cash on cash returns in 5 years using 1031 exchanges Education

• Florida State University

Master of Science in Political Science May 2014

GPA: 3.65

• Florida State University

Bachelor of Science in Political Science August 2010 GPA: 3.96 - President's list

Skills

Machine Learning / Statistics: AI, Supervised, Unsupervised, Predictive Modeling, Model Deployment, AB Testing Programming: R, SQL, Python, AWS, Linux, Snowflake, SAS, Stata, Docker, Bash Tools: GGPlot, R-Shiny, Tidyverse, Tableau, Excel, MS Office, PowerPoint, Scikit-Learn, xgboost, Scrapy, Seaborn Data: GIS Data, APIs, Web Scraping, Data wrangling, Visualization, Munging, Statistical Modeling Soft Skills: Cross-Team Communication, Leadership, Mentoring, Teamwork, Business Acumen

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