Awantik Das
Co-Founder CTO at EdYoda (zekeLabs Technologies Pvt. Ltd.)
Bengaluru, Karnataka, India
Summary
🤩
Rockstar🎓
Top SchoolAwantik Das is a technology leader and Co-Founder/CTO with 10+ years of engineering experience building scalable software and talent-first education products from Bengaluru. He leads EdYoda’s platform strategy to tackle enterprise talent shortages by making high-quality education affordable and recreating a full university experience—mentoring, collaboration, alumni networks and placement pipelines—on a digital scale. Prior to EdYoda he drove software development at Cisco and Juniper, bringing carrier-grade engineering and systems thinking to startup productization. Hands-on with data science workflows, he contributes to an instructor-led data science tutorial repo focused on pandas-driven data manipulation and analysis. Known for pairing pragmatic product instincts with deep technical ownership, he’s comfortable shifting between code, architecture, and go-to-market partnerships. His background from MNIT and early networking roles gives him a rare blend of academic rigor and production networking experience.
10 years of coding experience
8 years of employment as a software developer
B.Tech CSE, B.Tech CSE at Motilal Nehru National Institute Of TechnologyKendriya Vidyalaya Sangathan
Github Skills (6)
data-manipulation10
dataframes10
pandas10
dataframe10
data-analysis10
numpy8
Programming languages (3)
Github contributions (5)
edyoda/data-science-complete-tutorial
Sep 2018 - Jun 2021
For extensive instructor led learning
Role in this project:
Data Scientist
Data ScientistContributions:145 commits, 137 pushes, 1 branch in 2 years 9 months
Contributions summary:Awantik's commits primarily focus on data manipulation and analysis within the context of a data science tutorial. The commit messages and code differences reveal the user is working with the pandas library to explore and work with various data. The user is creating and exploring the basic properties of the pandas, DataFrame, along with the application of some basic function, which aligns with the topics provided.
k-meanspipelineledfeature-selectionkmeans
edyoda/data-science-ml-foundation-10
May 2017 - Dec 2017
Contributions:41 commits, 35 pushes in 6 months
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