Sohom Professional profile

Hello! I am Sohom Ghosh, a passionate Data Detective and aspiring to be a Data Ninja.

My passion for Data Science drives me to solve "mysteries" (problems) relating to it. I enjoy indulging myself more on practice than on theory. I love to "Deal with Data" and work on projects relating to Text Analytics, Deep / Machine Learning & Recommendation Systems.

I aspire to contribute to high quality research in the field of Data Science which will elevate technological progress. I believe that I have "miles to go before I sleep" to leave behind "footprints on the sands of time".

Presently, I am working as a Senior Analyst (Data Scientist) at the Artificial Intelligence Centre of Excellence of Fidelity Investments, Bangalore.


Industrial Experience

  • Senior Analyst (Data Scientist) at Fidelity Investments, Bangalore. At Fidelity, we are harnessing the power of AI and Big Data for improving users' experience during Personal Investments [Jun 2019 - Present] .
  • Data Scientist at Times Internet, Noida; Informing, Enabling and Entertaining 450+ million unique monthly visitors worldwide across 39+ digital products (Gaana, Times of India, Economic Times, Cricbuzz, MX Player, Indiatimes etc.) [Jan 2017 - Jun 2019].
  • Analyst (Big Data & Machine Learning) at FN MathLogic , Gurgoan; Worked on Text Analytics, Statistical Modelling & related domains [Apr 2016 - Jan 2017].

Research Experience







View My Profile on Google Scholar


Ongoing Projects

  • Working on improving users' search experience during personal investments using Natural Language Processing and Recommendation System techniques [June 2019 - Present].
  • Participating in various Data Science Hackathons [Profiles: Kaggle, GitHub].

Completed Projects

  • Worked on various Analytics projects: Sales Analytics (Upsell, Cross-sell, Churn Model), Digital Product Analytics, B2B Cross-walk Analytics, Fraud Analytics in affiliate marketing, Chatbot prototype development, Data Engineering, Deployed Machine Learning models in production, Content based Video Recommendation System (prototype) [Jan 2018 - Jun 2019].
  • Built machine learning based models to detect click bait articles [Jan 2019 - Mar 2019].
  • Presented insights for impacting business decisions by analyzing interest graphs & behaviours of 450M+ monthly visitors across 39+ digital products (Gaana, Times of India, Economic Times, MX Player, CricBuzz etc.) [Jan 2018 - Mar 2019].
  • Developed predictive model using PySpark to target emails. Deployed it on Hadoop cluster, Outcome: increased open rate of emails [Dec 2017 - June 2018]
  • Worked on various Data Science projects (like skills recommendation system, recruiter churn model and many others) for enhancing the capabilities of #IndiasMostLovedCEO at Times Jobs [Jan 2017 - Nov 2017].
  • Deep Learning based Sentiment Analysis on Movie Reviews using word2vec under the supervision of Dr. Dinabandhu Bhandari [Mar - Jun 2016]. [code]
  • Solving Real Life Problems using Machine Learning Techniques under the supervision of Dr. Dinabandhu Bhandari, [April 2015 - May 2016].
  • Prediction of Cancellations of Taxi Reservations under the supervision of Dr. Sushmita Mitra [June - Aug 2015].

Selected Data Science Challenges - Hackathons

  • Mini-Hack Machine Learning - Analytics Vidhya [code]
  • Sarcasm Detection in Tweets - Analytics Vidhya [code]
  • IndiaHacks - Machine Learning Hacker Earth [code]

[Other projects are showcased on GitHub]


  • Learning from MOOCs
  • Participating in Data Science Challenges / Hackathons
  • Playing Mouth-organ

E-mail: GitHub [link] LinkedIn [link] Mob: +91 8001734384