Christopher Makris

Christopher Makris is a Master of Statistical Practice with extensive professional experience in statistics, machine learning, discrete mathematics, and logic. His education includes a Bachelor of Science degree in Statistics, and minors in Logic: Information & Computation and Discrete Mathematics from Carnegie Mellon University. He also holds a Master's Degree in Statistical Practice from the same institution. Christopher has worked with various organizations, including Dataiku, Empower Retirement, and New York City Data Science Academy, holding positions such as Lead Data Scientist, Director of Security Data Science, and Director of Data Science. He has also been an Adjunct Instructor at Carnegie Mellon University, teaching Statistical Practice, Data Science, and Discrete Mathematics. Christopher's skills include data analysis, machine learning, statistical modeling, mathematical problem-solving, logic, and programming. He is passionate about uncovering insights from data, delivering recommendations that support clients' goals, and mentoring and collaborating with driven individuals. In his free time, Christopher enjoys dancing, traveling, and playing board games.