Christopher Murdter

Christopher Murdter has a diverse work experience in various fields. Christopher currently works at Movement as a Team Coach Supervisor, where they oversee coaching teams and provides support. Christopher also works as a Youth Team Coach and Private Coach at Movement, where they help young athletes develop their skills. Before this, Christopher worked at the University of Akron Football as a Football Analyst, utilizing quantitative methods to analyze games and evaluate players. Christopher also worked as a Machine Learning Engineer at SimulStar Inc., where they utilized machine learning techniques to develop models. Additionally, Christopher volunteered as a Data Scientist at Felidae Conservation Fund, where they deployed convolutional neural network models and designed big data pipelines. Christopher gained further experience as a Data Science Fellow at Springboard, where they worked on projects involving machine learning, predictive modeling, and data wrangling. Prior to that, Christopher worked as an Undergraduate Research Assistant at Michigan State University in Theoretical/Computational Plasma Physics and Theoretical/Computational Nuclear Astrophysics, where they conducted research and analyzed data. Christopher also served as a Learning Assistant, providing guidance to students in physics-related subjects. Christopher began their career as an Intern at TRG-AMR North America, where they supported a private racing team. Overall, Christopher Murdter has demonstrated a strong background in coaching, data analysis, machine learning, and research.

Christopher Murdter has a diverse education history, with a focus on data science and physics. Christopher obtained their Master of Science (MS) degree in Data Science from the University of Colorado Boulder, with an expected completion date in 2024. Prior to that, they completed their Bachelor of Science (B.S.) degree in Physics at Michigan State University from 2014 to 2019.

Before entering university, Christopher attended Saint Francis High School from 2010 to 2014. It is unclear if they obtained a degree or had a particular field of study during this time.

In addition to their formal education, Christopher has also obtained several certifications. These include certifications in The Structured Query Language (SQL) and Relational Database Design from Coursera in 2023 and 2022, respectively. Christopher also completed courses on Dynamic Programming, Greedy Algorithms, Trees and Graphs: Basics, and Algorithms for Searching, Sorting, and Indexing, all from Coursera in 2022. Other certifications include MySQL and SQL from TestDome in 2021, Data Science Career Track from Springboard in 2020, Google Cloud Platform Big Data and Machine Learning Fundamentals by Google Cloud in 2020, Advanced SQL for Data Scientists from LinkedIn in 2020, Intermediate Network Analysis in Python from DataCamp in 2019, and Supervised Learning with scikit-learn, also from DataCamp, in 2019.