Christopher Pilotte is a Data Specialist at Discern, where he focuses on quantitative analysis. He is currently a senior studying applied mathematics at the University of Maryland. Christopher has a strong background in mathematical statistics and machine learning, which he uses to help clients better collect, interpret, and apply real-world data.
At Discern, Christopher has written several algorithms to assist with text analysis and predictive modeling. He has also completed projects in data collection and assisted in formalizing Discern’s safe data transfer process.
Areas of Expertise
- Predictive modeling
- Data analysis
- BS Candidate, Applied Mathematics — University of Maryland, College Park
- Machine Learning course — Stanford
- Baltimore, MD