Rohan Lohiya

Rohan Lohiya

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  • Timeline

  • About me

    Data Scientist | EY | IIIT - Bangalore | Machine Learning | Generative AI | LLM | NLP

  • Education

    • Choithram School

      -
      CBSE
    • International Institute of Information Technology Bangalore

      2020 -
      Postgraduate Diploma Data Science 3.10/4

      Activities and Societies: Risk analysis in Banking and Financial Services (Data Mining and Modeling): Collected, cleansed and provided modeling and analyses of structured and unstructured data used for major business initiatives.

    • Dr. A.P.J. Abdul Kalam Technical University

      2016 - 2020
      Bachelor of Engineering - BE Electrical, Electronics and Communications Engineering 7.25
    • Christ The King College

      -
      CISCE
    • Liverpool John Moores University

      2020 - 2023
      Master of Science - MS Data Science Merit
  • Experience

    • Seshat Tecnologies

      Apr 2020 - Oct 2020
      Backend Support
    • Space Healthcare Pvt. Ltd.

      Aug 2020 - May 2021
      Market Research Analyst

      Collecting data Insights, data modeling, statistical analysis, business intelligence gathering, Documentation and client profiling. Data analysis supporting decisions for packaging costs and distribution, customer service improvement, organizational realignment and transportation.

    • The Sparks Foundation

      May 2021 - Jun 2021
      Intern

      EDA Analysis and ML modeling

    • MIT World Peace University

      Jun 2021 - Jul 2021
      Data Science Intern

      Tableau , Power BI , Created Intractive Dashboards with Insights from the data

    • Galytix

      Jul 2021 - Oct 2021
      Data Analyst Intern

      Collected Unstructured data from European Insurance Industires.Transformed the Data to actionable structured data sheets, Performed EDA and Basic Analysis

    • EY

      Nov 2021 - now

      Hyper Dynamic Insurance - Formulated an Algorithm that generates real time Insurance premium based on driving behavior captured by IoT devices. Saving up to 50% of the initial costs on premium for users, and reducing exposure to the Insurance company by 15% Trade Promotion Optimization - Led a data-driven Market Basket Analysis, identifying key purchase patterns influencing FMCH product sales within the region. This analysis resulted in a 15% increase in targeted promotions for high-affinity product pairings, boosting regional sales by 8%Generative AI-GPT Powered Chatbot - Banking - Designed and implemented a GPT-powered chatbot using Python, embedded within a banking tool. This chatbot intelligently extracts key information from protected documents, rephrases it in user-friendly language, and delivers it directly within the tool—all while upholding data security through a dedicated "Wall". This project streamlines information access and empowers users without compromising sensitive data Show less Labour Economics - Transformed data to increased user engagement by 20% with interactive Power BI dashboards, leading to improved decision-making and a 15% cost reductionCreated a high-precision pipeline allocation system using ML, enabling potential 30% annual cost savings for a major oil & gas companyAcquired consumer insights from 10K Google reviews using NLP techniques to perform sentiment analysis. (X = number of reviews)Developed PoC for Auto Insurance claims using Machine Learning to predict litigation and subrogation probability, resulting in a 60% reduction in claims processing time Show less

      • Data Scientist

        Apr 2023 - now
      • Associate Software Engineer

        Nov 2021 - Apr 2023
  • Licenses & Certifications