Ronak Gangwal

Ronak Gangwal

Publicity Coordinator

location of Ronak GangwalIndore, Madhya Pradesh, India

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  • Timeline

  • About me

    Data Science @ Fractal Analytics || IIT (BHU) Varanasi

  • Education

    • St. Paul School, Indore (M.P.)

      2003 - 2015
      Primary and Secondary Education
    • Indian Institute of Technology (Banaras Hindu University), Varanasi

      2017 - 2021
      Bachelor of Technology Chemical Engineering CGPA- 9.03
  • Experience

    • Student Alumni Interaction Cell (SAIC), IIT (BHU), Varanasi

      Jan 2018 - Jan 2019
      Publicity Coordinator

      Member of SAIC and Publicity Executive for the Centenary Celebrations and Global AlumniMeet(GAM'19) of IIT(BHU).

    • Osmoze, IIT (BHU)

      Apr 2018 - Apr 2019
      Publicity Coordinator

      Publicity coordinator of Osmoze'19, annual departmental fest of Chemical Engineering, IIT(BHU).

    • Analytics Vidhya

      May 2019 - Jul 2019
      Data Science Intern

      Different methods of Sampling-Explored the various techniques of Probability and Non-Probability Sampling and article got published.Bank Products Recommendation-Developed a product recommendation system for the customers of a bank based on customerdemographics and past purchase history.Used Collaborative Filtering to find similarities between users and bank products.

    • SKaaS

      May 2020 - Jun 2020
      Data Science and Machine Learning Intern

      Recruiter Chatbot using AWS Lex1. Built a responsive bot which aimed to collect details of the user such as skills, experience, to give back a recommendation of best fit job to the user in future.2. Slots were added as part of intent configuration and DynamoDB was used to store the data.3. Performed validations on the user input using Python in AWS Lambda .

    • Fractal

      Jul 2021 - now
      Data Scientist

      - Implemented an adaptive recommendation system in 10+ markets for a Pharma Company to providesales representatives with next best actions for engaging healthcare providers.- Developed predictive models utilizing Natural Language Processing (NLP) techniques to accurately predict products for interaction between sales representatives and healthcare providers. The solution was implemented on Dataiku, a data science platform. - Built a Realtime Next Best Action solution that can predict the Next Best Action for visitors on awebsite/app in real-time and intervene within the active session in 5-15 seconds of visitor activity using live clickstream and recent customer data.- Implemented the Real-time Next Best Action solution on AWS (US patent application in progress). - - Developed cloud-agnostic data I/O python modules across all cloud platforms. Show less

  • Licenses & Certifications

    • Machine Learning

      Coursera
      Oct 2019
    • Convolutional Neural Networks

      Coursera
      Oct 2020
    • AWS Fundamentals: Going Cloud-Native

      Coursera
    • Fundamentals of RL

      University of Alberta
      Apr 2023
      View certificate certificate
    • Program in Data Science, Analytics and Engineering

      Great Learning
      Aug 2021
    • Fractal Certified Data Scientist

      Fractal
      Oct 2021
    • Generative AI with LLMs

      DeepLearning.AI
      Jul 2023
      View certificate certificate
    • Neural Networks and Deep Learning

      Coursera
      View certificate certificate
    • Mastering Data Structures and Algorithms

      Udemy
      Jan 2021