Suveer Desai

Aspiring statistician graduating from Mount Sinai Icahn School of Medicine in June 2025. Background in mathematics, medical sciences as well as personal training. Skills include R and SAS programming, generalized linear models, categorical and longitudinal data analysis, and probability.

Suveer Desai is a biostatistics graduate student with a diverse background in data analysis, research, and education. He has experience as a Teaching Assistant at the Icahn School of Medicine, where he led R-based statistical computing labs, developed instructional materials, and supported students in mastering biostatistical concepts. Previously, he worked as a Data Analyst at Innovative Business Concepts Inc., where he generated reports, validated data, and applied tools like Salesforce, Power BI, and Domo to meet client needs, while also gaining exposure to project management and quality assurance.

His earlier roles include tutoring math at all levels at Sylvan Learning Center and conducting biomedical research during his undergraduate and medical school years, resulting in multiple peer-reviewed publications. This combination of analytical, instructional, and research experience has equipped him with strong technical, communication, and problem-solving skills relevant to roles in biostatistics and data science.

Suveer Desai is currently pursuing a Master of Science in Biostatistics at the Icahn School of Medicine at Mount Sinai, with expected graduation in June 2025 and a GPA of 3.5. His graduate coursework has provided a strong foundation in advanced statistical methodologies, including generalized linear models, survival analysis, statistical methods in clinical trials, and categorical and longitudinal data analysis. He also holds dual Bachelor of Arts degrees from Boston University—one in Mathematics with a specialization in Pure & Applied Mathematics, and the other in Medical Sciences—both earned in 2019 with a GPA of 3.5.

This interdisciplinary academic background blends rigorous quantitative training with a deep understanding of biomedical science, positioning him well for roles in clinical research, healthcare analytics, and biostatistics.