dmgrifka@gmail.com
Pricing Strategy and Analytics Manager: Leverage advanced analytics, including Bayesian methods and machine learning to improve pricing strategies and develop visualization tools for sales teams.
Category Management Analyst: Developed a recommender system and customer-facing website using clustering algorithms to optimize product placement and sales across retail locations.
Led data integration and analytics initiatives using Python, PostgreSQL, and Power BI to improve institutional performance metrics across Chicago Public Schools.
Performed quantitative analysis of investment-grade corporate bonds using, while monitoring key credit metrics for the fixed income team.
Earned BS in Finance and International Business from Marquette University (2018), participating in the Applied Investment Management Program
Victory Analytics LLC — Founder, Data Analytics Consultant
September 2023 - Present
Provide statistical analysis for a professional baseball consulting company using Pybaseball. Developed a GB Classifier model for simulating MLB game outcomes through batted ball resampling (https://x.com/mlb_simulator).
MIT Applied Data Science Program
September 2022 - December 2022
Completed comprehensive training in data science, machine learning, and deep learning, culminating in a capstone project developing an image detection model. Program covered Python fundamentals, statistical analysis, supervised learning, neural networks, and recommendation systems.
An analysis of how pre-snap motion can affect NFL coverage types.
Read ArticleAn exploration of using batted ball data with Bayesian hierarchical modeling to evaluate MLB team performance.
Read ArticleA Twitter bot that simulates MLB game outcomes using advanced statistical modeling and batted ball resampling techniques. Code can be found here (https://github.com/dgrifka/baseball_game_simulator).
View MLB Simulator Bot