Yogender Kumar

Yogender kumar

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Followers of Yogender Kumar666 followers
  • Timeline

  • About me

    Big Data Analytics@CDAC Bengaluru | M.Tech(AI)@NITJ | IITM | NLP | ML | AI

  • Education

    • Vidya bharati school sikar

      2015 - 2016
      Senior secondary(xii) mathematics 86.00
    • Indian institute of technology, madras

      -
      Diploma in data science
    • Rajasthan technical university, kota

      2016 - 2020
      Bachelor of technology - btech electronics and communications engineering

      Activities and Societies: Projects: The title of the project is "Smart Home Surveillance. This project is focused on developing a surveillance system that detects motion and responds rapidly by capturing an image and relaying it to an administrator device through the internet platform. In this Project, I have worked with RaspberryPi and micropython . This project was also acknowledged in the newspaper.

    • Dr b r ambedkar national institute of technology, jalandhar

      2021 - 2023
      Master of technology - mtech artificial intelligence 8.8/10 cgpa

      Activities and Societies: Research coordinator at Department of Centre for Artificial Intelligence Courses:Foundation of Probability and StatisticsComputer Programming Basics with PythonData Science and AnalyticsAdvanced Data Structures and Algorithms Principles of Artificial Intelligence and machine learningComputer Vision and Natural Language ProcessingFoundation of Deep learningLinear Algebra and OptimizationMedical AI

  • Experience

    • Centre for development of advanced computing (c-dac)

      Jun 2022 - Jul 2023
      Project intern

      ->Attention-Based Deep Neural Networks for Low-Resource Indian Regional Language Analysis  Fine-tuning BERT and IndicBERT transformers for Kannada language parts of speech tagging Technology stack: Pytorch, Torchtext library, Python, Deep learning, Tensorflow  In cross validation, it achieved 94% accuracy.-> Brain tumor detection and segmentation from MRI images using deep learning and machine learningtechniques Annotation has been performed on the dataset containing 250 images. Furthermore, by using data augmentationtechniques,thedataset was increased to 2000 images.The model was trained for object detection tasks with techniques like CNN, XgboostonthePARAM Utkarsh supercomputer (Nvidia Tesla v100). For object segmentation implemented using Yolov5, Yolov7. ->Time series forecasting Bengaluru city’s Temperature, Humidity, CO2 level, PM 2.5, and PM 10 particles in the air for the next 24hourshavebeenforecasted.  Implementing cutting-edge time series algorithms such as DeepAR on the MXnet framework, SARIMAX, and Prophet usingAutoTS. The accuracy of 96% was achieved using Prophet. Show less

    • Centre for development of advanced computing (c-dac)

      Sept 2023 - now
      Ai engineer (knowledge associate)
  • Licenses & Certifications

    • 3d computer vision summer school

      Iiit hyderabad
      May 2022
    • Foundations: data, data, everywhere

      Google
      Jul 2022
      View certificate certificate
    • Microsoft virtual internship

      Microsoft
      Mar 2022
      View certificate certificate