Jack Kiefer

Software Engineer, Data Scientist, and Game Developer

I am passionate about combining different concepts and technologies to solve complex problems. Whether it's designing the right API to ensure seamless interaction between users and the backend, selecting the right features to enhance the accuracy of machine learning algorithms, or strategically choosing the best cards for a Magic: The Gathering deck to maximize win rates, I am driven by the process of finding innovative solutions to new and interesting challenges.

My Experiences
My Education

April 2024 - Present

Independent Game Developer

In the process of developing a multiplayer chess-inspired game. For more information on the game, see the projects section.

May - August 2023

Major League Baseball

Software Engineering Intern - Predictive Gaming

At MLB, I contributed to integrating the newly acquired game, Pickle, into MLB Play services by developing REST APIs, which enabled guest users to interact seamlessly with the backend and earn in-game rewards.

May - August 2021, May - August 2022

Sugarwish

Data Science Intern

While at Sugarwish, I developed a neural network using scikit-learn to predict expected revenue from new corporate account signups, allowing sales associates to better target high-value clients.

May - August 2020

Growth Prospects

Data Analysis Intern

I designed an inventory tracking system and a sales prediction dashboard to minimize stockouts. Additionally, I replaced slow Excel dashboards with fast SQL dashboards.