Dhaval Patel is a Sr. Strategic Project Lead based in Berkeley with eight years of experience blending data science, product ops, and startup strategy to drive operational excellence and educational impact. As founder of Codebasics and co-founder of AtliQ Technologies, he teaches data and AI concepts while shipping practical Python-based tutorials and data products—his GitHub work includes hands-on notebooks for Pandas, SQL, and model validation. He has led data and product efforts across startups and public-sector roles, sold and ran fractional data projects, and now reinforces strategic delivery at Mercor. Known for turning complex healthcare and edtech data into actionable workflows, he pairs technical depth with a founder’s instinct for building learning platforms. An understated strength is his knack for translating classroom teaching into reusable engineering artifacts that scale team learning and customer outcomes.
Repository to store sample python programs for python learning
Role in this project:
Back-end Developer & Data Scientist
Contributions:173 commits, 4 PRs, 48 pushes in 4 years 9 months
Contributions summary:Dhaval appears to be working on a tutorial or a set of tutorials focused on data science and machine learning using the Python programming language. The commits demonstrate the creation of notebooks that cover topics like building a Pandas-based application for data analysis, working with SQL, linear and logistic regression. The user also worked on implementing an example with k-fold cross-validation.
This tutorial playlist covers data structures and algorithms in python. Every tutorial has theory behind data structure or an algorithm, BIG O Complexity analysis and exercises that you can practice on.
Contributions:7 commits, 2 PRs, 12 pushes in 2 years 1 month
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