Bargava
Data Scientist
Bengaluru, Karnataka, India
Summary
🤩
RockstarBargava is a data scientist based in Bengaluru with 11 years of experience applying statistical modeling and machine learning to real-world problems. He contributes actively to open-source educational projects, adding clear notebooks on statistics, regression (OLS and Ridge), logistic models, and recommendation systems that compare losses like BPR and WARP using LightFM. Comfortable across data exploration, model diagnostics, and evaluation, he blends foundational simulation-based explanations with practical ML implementations. Colleagues can expect a practitioner who not only builds models but also documents concepts for learners, reflecting a strong emphasis on reproducibility and pedagogy.
11 years of coding experience
Github Skills (22)
data-visualizations10
recommendation-system10
python10
scikit10
pandas10
statistics10
machine-learning10
data-visualisation10
hypothesis-testing10
numpy10
linear-regression10
deep-learning10
statistical-models10
hypothesis-tests10
scikit-learn10
Programming languages (11)
Github contributions (5)
rouseguy/intro2stats
May 2015 - Feb 2018
Introduction to Statistics using Python
Role in this project:
Data Scientist
Data ScientistContributions:40 commits, 1 PR, 37 pushes in 2 years 9 months
Contributions summary:Bargava appears to be contributing to an introductory statistics project using Python, focusing on data analysis and simulation. They added introductory material with markdown, illustrating statistical concepts like hypothesis testing (e.g., coin toss example), probability calculations, and simulation techniques. The user implemented Python code utilizing libraries such as NumPy and possibly others like Matplotlib, Seaborn, and Pandas for data manipulation, simulation, and data visualization to demonstrate these statistical concepts.
statisticspythondata-scienceprobabilitypython3
amitkaps/hackermath
Jul 2016 - Sep 2017
Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
Role in this project:Data Scientist
Data ScientistContributions:15 commits, 13 pushes in 1 year 1 month
Contributions summary:Bargava contributed to the repository by adding code related to statistical analysis and data exploration. They created a notebook demonstrating basic metrics calculations and data visualization using the provided car dataset. Further contributions involved the implementation of linear regression models, including both OLS and L2 regularization (Ridge), along with model diagnostics and the evaluation of generalization error. The user also built and experimented with logistic regression models.
statisticspythonsciencedata-sciencemathematics
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.