Diana Kolusheva is a software engineer with eight years of experience specializing in Python, data science, machine learning, NLP, and data visualization, currently building at Google in Boston. She brings a strong research-to-production background from Harvard Medical School where she developed scientific software, pairing academic rigor (Harvard Data Science M.L.A.) with practical product delivery. A multiple hackathon winner and active Kaggle competitor, she excels at turning messy data into actionable models and clear visualizations. Her foundation in business and international marketing gives her an edge in translating technical solutions into measurable business impact. Colleagues describe her as a curious, results-driven engineer who thrives at the intersection of research, engineering, and product.
8 years of coding experience
3 years of employment as a software developer
Master of Liberal Arts, Extension Studies, Data Science, Master of Liberal Arts, Extension Studies, Data Science at Harvard University
Bachelor’s Degree, Business Administration, Bachelor’s Degree, Business Administration at Westminster International University in Tashkent
Master’s Degree, International Marketing, Master’s Degree, International Marketing at Hult International Business School
A Database-based knowledge back-end built on and for INDRA. The INDRA Database is a service that can be set up by any user with their own content and knowledge access. Our implementation of the database is the back-end to many of our projects, providing a vast and detailed knowledge base derived from many resources.
Contributions:49 pushes, 19 branches in 2 years 10 months
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