Amit Kapoor
Chief Everything Officer at amitkaps.com
Bengaluru, Karnataka, India
Summary
🤩
Rockstar🎓
Top SchoolAmit Kapoor is a data-visualization educator and practitioner with 11+ years of experience translating complex information into persuasive visual stories for businesses, nonprofits, and academic institutions. As Chief Everything Officer at amitkaps.com and Chief aXis Organiser of VizChitra, he combines craft, pedagogy, and community-building to teach designers and build India's data-visualization ecosystem. His background in strategy consulting (A.T. Kearney, Booz & Company) informs a systems-level approach to storytelling that drives practical change. Amit also contributes technical teaching materials and reproducible notebooks on GitHub—covering linear algebra foundations, OLS/ridge regression, and collaborative-filtering recommenders—bridging mathematical rigor with applied data science. Based in Bengaluru, he mentors emerging practitioners while occasionally doing “everything else” to turn ideas into impact.
11 years of coding experience
PGDM (MBA), PGDM (MBA) at Indian Institute of Management AhmedabadIndian Institute of Technology Delhi (IIT Delhi)
Hindi, English
Stackoverflow
73reputation
4kreached
1answer
1question
Github Skills (14)
data-preprocessing10
pandas10
regression10
machine-learning10
collaborative-filtering10
recommendation-system10
deep-learning10
python10
linear-algebra10
html6
seo6
jekyll6
scikit-learn6
linear-regression6
Programming languages (8)
Github contributions (5)
amitkaps/recommendation
Nov 2016 - Sep 2020
Recommendation System using ML and DL
Role in this project:
Data Scientist
Data ScientistContributions:40 commits, 1 PR, 33 pushes in 3 years 10 months
Contributions summary:Amit's commits primarily focus on building a collaborative filtering recommendation system using machine learning and deep learning techniques, as indicated by the repository description and topics. The commits show the creation of a collaborative filtering model and the incorporation of user-item data. The user is implementing matrix factorization techniques, a key component of recommender systems, with the commits showing code changes, including working on data and model structure.
machine-learningrecommendation-systemrecsyscolloborative-filteringhybrid-recommender
amitkaps/hackermath
May 2016 - Nov 2017
Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
Role in this project:Data Scientist
Data ScientistContributions:42 commits, 1 PR, 31 pushes in 1 year 6 months
Contributions summary:Amit added a new notebook that introduces linear algebra concepts, including solving systems of linear equations. The user also added notebooks covering OLS regression, ridge regression, and eigenvectors. The user's work is focused on establishing a foundation in linear algebra and its application in building a basic linear model.
data-sciencemathematicsstatisticsmachine-learninglinear-algebra
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