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Achievement: Pull Shark

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Achievement: Pull Shark

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@GitHub-Campus-IITM

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jeshlin-donna/README.md

Jeshlin Donna

2nd year, B.Tech Mettalurgical and Materials Engineering
Indian Institute of Technology, Madras, India
E-mail | LinkedIn | Facebook | Instagram | GitHub

Skills

  • Machine Learning, Deep Learning, Data Science
  • Business Analytics
  • Data Structures and Algorithms
  • SQL
  • Flask
  • Web Scraping
  • Docker
  • Tableau
  • Programming Languages: Python and C
  • Git & GitHub

Tools and Technologies

azure aws c git python SQL tableau flask scrapy

Projects

Personal Projects

  • Listen To See: Deep Learning Project
    • Deep Learning Project of Video Classification and Text-To-Speech.
    • Involved real-time video captioning and conversion of the captions to audio speech.
    • Focusses on capabilities for the visually impaired
  • Invoice Parser: End-to-End Model for Information extraction from invoices
    • Was built based on Representation Learning(RELIE)
  • Multimodal Attention for Video Captioning
    • Implementing the Multimodal-Attention LSTM Networks for Video Captioning Research Paper.
  • Anime Face Generator
    • This model generates a random anime face using GANs.
    • Learnt about image processing and GANs.
  • Product Categorizer
    • The task was to predict product category using the associated product metadata.
    • Project done as part of the Analytics Competition hosted by the Analytics Club IIT Madras in association with Techsoc IIT Madras, as part of Pre Inter IIT Season.
    • Involved areas of ML, DL and NLP.

Group projects

  • SPEC-CARE: Tech-Based solution to solve the Health-Tech problem of EHR Management and Interoperability
    • Ideated, prototyped and wrote the pseudocode & algorithm for a Tech-Based solution to solve the Health-Tech problem of EHR MANAGEMENT AND INTEROPERABILITY.
    • Worked on the concepts of Data Lake, CDM(Common Data Model), Hadoop, NLP, Data Security and Encryption, Computer Vision and Data Analysis.
    • This project was part of the competition INNOVATUS'21 conducted by TechSoc - IIT MADRAS
    • Our team stood 2nd Overall- INNOVATUS'21
  • Project for the Global Shell AI hackathon 2021
    • Model pipeline to predict %cloud cover and solar energy production at various time intervals, given the past 6-hour weather data and sky camera images.
    • This project was a submission for GLOBAL SHELL AI HACKATHON FOR SUSTAINABLE AND AFFORDABLE ENERGY conducted jointly by Shell, Microsoft, Nvidia, OpenACC, Hackerearth.

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  1. Machine_Learning_and_Data_Science Machine_Learning_and_Data_Science Public

    Jupyter Notebook 2