Max Adler
Reno,NV
Summary
Data scientist with experience building models that reduce costs and create business value, performing statistical analyses, and communicating results to leadership.
Overview
1
1
year of professional experience
Work History
Predictive analytics modeler
LegalMatch
12.2025 - Current
- Developed several LightGBM models to create a case-scoring model that accurately ranked cases in terms of client engagement and hiring rates, in order to refine our five-figure-a-month case acquisition budget.
- Created a deal-matching algorithm to estimate the renewal rate of contracts in an attempt to improve reporting and create new targets for key account managers.
- Modeled regional competition using generalized additive models, allowing us to sell more subscriptions in full regions and opening the way for a potential increase in deal revenue.
- Currently developing a duplication-finding algorithm to flag and remove duplicate cases posted to LegalMatch.
- Designed a Streamlit company overview dashboard for the CEO and Director of Operations to monitor the health of all areas of the business.
Education
Master of Science - Statistics
University of California San Diego
12-2024
Skills
- Model evaluation techniques
- Python
- R
- SQL
- Tableau
- Looker
- Excel
- Salesforce
- SAP
- Stakeholder Communication
Projects
Transportation Data Science Project, Columbia University and the Northeast Big Data Innovation Hub
January 2025 - April 2025
- Consolidated and analyzed New York City public datasets to evaluate environmental and infrastructure risk factors contributing to car crashes, using SQL, Python, and geospatial matching techniques.
- Built a Random Forest model achieving 0.973 AUC and 93.5% accuracy, supporting early identification of high-risk features.
- Used random forest feature importance to generate visualizations highlighting key causes of car crashes, identifying several key interactions of features that significantly elevate injury rates.
- Created Tableau visualizations to communicate actionable insights to stakeholders for public safety strategy planning.
Timeline
Predictive analytics modeler
LegalMatch
12.2025 - Current
Master of Science - Statistics
University of California San Diego