Nathan Saltzman

With a knack for data visualization, I've begun my career in data analytics and consulting, and I am looking for my next sports opportunity.

Hinsdale, Illinois USA

About

MLB Pitch Prediction Model: Analyzed in-game data from thousands of MLB games across 200 ranked features and identified 4 key features that yield even more accurate predictions. Performed statistical testing to identify MLB teams, media outlets, and gambling clients that would benefit most from the model to shape NTT sales strategy for the product.

Experience

Data & Analytics Consultant

NTT Data

Jul 2022 - Aug 2023

Major League Baseball (MLB) Pitch Prediction Model: I contributed to the development of a machine learning model by coding in Python with the Baseball Savant database to predict pitch type with 11% higher accuracy vs. naive prediction.

Data Analyst Intern, Core Acquisition Strategies Team

Synchrony

May 2021 - Aug 2021

I created an inventory dashboard using decision trees to make accept-or-decline decisions on customers’ credit card applications. I designed algorithms in Excel to streamline accept-or-decline notifications to the applicants.

Project Management Engineering Intern

Schneider Electric

Jun 2019 - Aug 2019

I organized details of 10+ engineering projects, including updating spreadsheets with materials and financial information, assigning project managers in Microsoft Teams, and completing turnover forms, billing forms, and corresponding property tabs for projects. I supervised the process of optimizing card sensor installation at various properties.