Kunal Mishra is a Data Scientist in Berkeley with 11 years of experience applying machine learning, biostatistics, and cloud infrastructure to public health challenges—most recently leading predictive analytics and production ML at InterWell Health focused on equitable kidney care. He combines an MPH in Biostatistics & Epidemiology and a BA in Public Health & Computer Science to bridge clinical research, large claims-based modeling, and HIPAA-compliant cloud engineering. At Cricket Health he authored the organization’s predictive analytics whitepaper and built the compute infrastructure required for large-scale claims models, work that helped shape the merged InterWell platform. Earlier roles include building one of the first Terraform-driven HIPAA AWS stacks for UC Berkeley researchers and creating interactive educational tools for epidemiology courses. He also co-founded a nonprofit to expand CS education, reflecting a longtime commitment to translating technical capabilities into social impact.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Arts (B.A.), Public Health & Computer Science, Bachelor of Arts (B.A.), Public Health & Computer Science at University of California, Berkeley
HS Diploma, Magna Cum Laude, HS Diploma, Magna Cum Laude at Villa Park High School
Contributions:8 commits, 1 PR, 7 pushes in 11 months
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