Education 
  1. PhD in Managament Information Systems, Indian Institute of Management, Ahmedabad (2018 - present)
  2. Bachelor's Degree: Electrical Engineering with Specialization in Computer Science (CGPA: 9.03), Dayalbagh Educational Institute, Agra (2012-2016)
  3. Class 6th to 12th: REI Intermediate College, Agra (2006-2012)


Work Experience
  1. Tata Consultansy Services (Jan 2017 - May 2018): Worked as (1) Trainee (2) Learning Enabler  (3) Developer in Robotics Lab at TCS Innovations Lab (Research Division)
  2. Project Intern, IIT Delhi (Sep 2016 - Dec 2016): Image Processing and Machine Learning based project
  3. Intern, Innovation Labs, Tata Consultancy Services, Gurgaon (Apr 2015 - Aug 2015): Worked on Data Analytics, Early Warning Detection and Healthcare Systems.
  4. Summer Trainee, National Geophyscical Research Institute, Hyderabad (May 2014 - June 2014): Seismological data analysis.


Conferences and Research Papers
  1. Presented research paper titled " A new category based Deep Performance Index using Machine Learning for ranking IPL cricketers " at the second International conference on Innovative Research in Engineering Science and Management (ESM-16)
  2. Published research paper titled " A new category based Deep Performance Index using Machine Learning for ranking IPL cricketers " in International Journal of Electronics , Electrical and Computational System, February 2016. 
  3. Published research Paper titled " A new Machine Learning based Deep Performance Index for ranking IPL T20 cricketers " in International Journal of Computer Applications , March 2016
  4. Published research paper titled " Team selection Strategies in IPL-9 using Random Forest Algorithm " in International Journal of Computer Applications , April 2016
  5. Presented research paper titled " A new Team Selection methodology using Machine Learning and Memetic Genetic Algorithm for IPL-9 " at the 3rd International conference on Innovative Research in Engineering , Science and Management (ICIRESM-16)
  6. Published research paper titled " A new Team Selection methodology using Machine Learning and Memetic Genetic Algorithm for IPL -9 " in International Journal of Electronics, Electrical and Computational Systems.
  7. Published research paper titled " AI Methodology for Automated Selection of Playing XI in IPL Cricket" in International Journal of Engineering Technology Science and Research, June 2017. 
  8. Presented research paper titled "DEEP-NIX (Neo Integrated X) Model: Decision Trees with Bias Correction Validated Through 2-Pronged Regression for Prediction Interval" at the 52nd Annual Convention of Operational Research Society of India and International Conference, 2019. (ORSI-2019)
  9. Published research paper " Analyzing the role of national culture on on content creation and user engagament on Twitter: The case of Indian Premier League cricket franchises" in International Journal of Information Management, 2021. 

Licenses and Certifications
  1. 11th European Association of Sport Management (EASM) Summer School on 'International Sport Marketing: Value Co-Creation through Engagement'. (May, 2021)
  2. Sports Marketing, Northwestern University, Coursera (May, 2021)
  3. Foundations Sports Marketing Program, Deakin University (Sep, 2020)
  4. Fandom Research and Management, Udemy (Jul, 2020)
  5. The data science of gaming and fantasy sports, LinkdIn (Jul, 2020)
  6. Learning path: Become a Data Scientist (8 course series), Linkdin (Jul, 2020)
  7. Machine Learning, Stanford University, Coursera (Sep, 2016)

Research Interests
  • Sports Analytics
  • Sports Marketing
  • Social Media
  • Data Mining
  • Text Analytics
  • Machine Learning & AI

Research Impact (Last updated 20 August, 2021)
  • Google Scholar Citations: 59, h-index = 5, i10-index = 2
  • ResearchGate score: 5.26, Total Reads: 9693