Mehul Jain

Experience

• 

  Technology Adventure Society (TAdS) IIT Kharagpur

  Dec 2021 - Apr 2023

  • Member

    Aug 2022 - Apr 2023

  • Associate member

    Dec 2021 - Jul 2022
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  Cambridge Judge Business School

  May 2022 - Aug 2022

  Research Apprentice
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  Indian Institute of Technology, Kharagpur

  May 2023 - Jun 2023

  Research Intern

  Collaborated with Prof. Paresh Nath Singha Roy in the Department of Geology and Geophysics at IIT Kharagpur . Extracted seismic data using the segy.io library. Implemented Python Patchify to partition the seismic dataset into discrete patches. Developed a U-Net architecture—a powerful encoder-decoder framework—using PyTorch for creating a convolutional neural network achieving an impressive accuracy of 95.68%.

• 

  Suzuki Motor Corporation

  Jun 2023 - Jul 2023

  Strategy Intern
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  Indian Institute of Technology, Kharagpur

  Sept 2023 - now

  Collaborated with Prof. Deepak Pullugram Reddy in the Department of Electrical Engineering. Conducted an extensive literature review and comprehensive data analysis. Performed feature selection using heatmaps and feature importance algorithms, trend analysis employing line plots and Hodrick-Prescott filter, and seasonality evaluation through box plots and autocorrelation charts. Applied sophisticated data preprocessing methods, including seasonal decomposition and pandas differencing, to effectively eliminate underlying trends and seasonality patterns from datasets, optimizing them for analytical modeling.Developed Recurrent Neural Networks - LSTM accurate power forecasting and time series forecasting Show less

  • Undergraduate Representative to the Institute Senate

    Aug 2024 - now

  • Research Intern

    Sept 2023 - Aug 2024
• 

  The Economic Times

  Apr 2024 - Jul 2024

  Summer Research Intern

  Developed data-driven and strategic models to optimize marketing campaigns and enhance customer acquisition strategies. By creating a Look-Alike Audience Model, boosted acquisition by 15% in just 4 months, enabling clients to target customers in similar segments. Increased ROI by 20% in global marketing efforts by analyzing 1.5 billion behaviors per month and identifying 500 million potential customers