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Data Scientist

New Delhi, India

Interest Areas

  • Data Wrangling
  • Exploratory Data Analysis
  • Natural Language Processing
  • Machine Learning
  • Design Patterns
  • Data Structures and Algorithms
  • Object Oriented Programming

Work Experience

Data Scientist

Innovaccer, Noida

Feb 2016Current

  • Contributor and maintainer of a product which helps corporates and PR professionals in risk and reputation management through social media analytics and provides a predictive analysis of issues going over the globe.
             Stack: python, NLTK, pythonds, datetime, collections, pymongo, celery, redis
  • Contributor of a big data analytics module for bundled payments in health care analytics.
             Stack: spark, scala, spark-core, spark-sql, scala mogodb-driver, scala-test
  • Contributor in building Regression and Decision tree machine learning models on sample data sets using spark-ml.
             Stack: spark, scala, spark-core, spark-sql, spark-ml, scala-test
  • Regular responder in data munging and exploring related queries.
             Stack: python, pandas, mongoDB

Full Stack Developer Intern

Test Formula Education Pvt Ltd., Noida

Jun 2015Jul 2015

  • Worked on developing beta version of an education market place.
  • Improvised and maintained, an education awareness platform via blogging.
  • Did a lot of debugging.


Bachelors Of Technology In Computer Science Engineering

Jaypee Institute Of Information Technology, Noida


CGPA (out of 10): 7.2

Senior Secondary School Examination

Rajkiya Pratibha Vikas Vidyalaya, Yamuna Vihar, New Delhi


CBSE (%): 82.8

Secondary School Examination

Rajkiya Pratibha Vikas Vidyalaya, Yamuna Vihar, New Delhi


CBSE (%): 91.16


System Programming: Python, Scala, C++, C
Web Scripting: PHP, HTML, CSS, Javascript, Jquery, AJAX
Framework: Apache Spark for cluster computing, Web2Py for back end
Database: mySQL, mongoDB
Version Control: git
Cloud: AWS


  • WebDocClassification [WIP]
    • Git Link:
    • Project Description: Scalable web document classification, that uses shallow text features like number of words and link density to classify documents into different categories.
    • Technologies Used: python, sklearn, numpy, BeautifulSoup, mongoDB,
  • mongoEDA
    • Git Link:
    • Project Description: data exploration techniques but, with mongoDB not pandas, forked during a hackathon.
    • Technologies Used: python, mongoDB
  • Proffersys
    • Git Link:
    • Project Description: Website with an initial idea of helping college students to connect to their seniors, super seniors and getting their resume recommended.
    • Project Duration: Aug 2014- Nov 2014
    • Technologies Used: PHP, MySql, Javascript, Jquery, AJAX, Angular Js, Bootstrap, Google, Fb social plugins.
  • monitorwiki
    • Git Link:
    • Project Description: @Monwiki monitors recent (live) edits on wikipedia and generates potential news based on edit spikes, which are shown on web-app using web2py.
    • Project Duration: Feb 2015-May 2015
    • Technologies Used: Twisted(a networking engine for Python), Web2py(python MVC framework).
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