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šŸ‘‹ Hi, I'm Ved.

I work at the intersection of data, business & product. I have been building data products from 7+ years. I also write about effective data science, learning, and career. Currently a Data Scientist at Urbanclap solving some core problems in marketplace.

  • šŸ”­ Iā€™m currently working on Automating ML, Systemic Data Science, Lead Score and Productivity Loss.
  • šŸŒ± Iā€™m currently learning more DL, Designing Scalable Systems, and how to communicate data-science effectively in org.
  • šŸ™‹ Evangelist of Agile Data Science
  • šŸ¤” Iā€™m looking for help with applied-ml in startups. Little crazy about productivity hacks. Share if you got one. Currently, Building second brain(Zettelcasten), optimizing learning rate, reading speed and better writing

šŸ“ Recent Writing

View the archives at d4datascience.


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Ved's Projects

awesome-datascience icon awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-ml icon awesome-ml

List of sources for Machine Learning, NLP and software engineering for ML, that I find interesting

code-vault icon code-vault

frequently used code snippets for data-science tasks

cookiecutter-kaggle icon cookiecutter-kaggle

A cookiecutter-based project template for starting kaggle projects with Python. Take a cookie, relax, and enjoy kaggling!

data-science-competitions icon data-science-competitions

Goal of this repo is to provide solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).

data-science-from-scratch icon data-science-from-scratch

This repo contains implementation of algorithms from scratch. This repo has the problems solved from the book data science from scratch.

data-science-interview-prep icon data-science-interview-prep

This repo contains fundamental questions for data science interview. This is based on my interviews experiences and questions from multiple place.

datahacksummit_2017 icon datahacksummit_2017

Apache Zeppelin notebooks for Recommendation Engines using Keras and Machine Learning on Apache Spark

dsp icon dsp

Metis Data Science Bootcamp - Official Prework Repository

ensemble_amazon icon ensemble_amazon

Code to share different ensemble techniques with focus on meta-stacking , using data from Amazon.com - Employee Access Challenge kaggle competition

kaggle icon kaggle

This Repo contains code for kaggle competitions

kaggle-for-fun icon kaggle-for-fun

All my submissions for Kaggle contests that I have been, and going to be participating.

kaggler icon kaggler

Code for Kaggle Data Science Competitions

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