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Focusing on new challenges
🎯
Focusing on new challenges

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hemanthh17/README.md

Hi Hemanth Here

I am a 1st Year MSc Computer Science (AI) student in University of Galway and discovering my career in Data. I was extremely fascinated towards Artificial intelligence after I took my first course in Machine and Deep Learning, after which I have been dedicatedly working on various small projects where automation is required. I also love participating in Hackathons and I am very active on Kaggle. I always love discussing and sharing my views with the Data Science community and I truly believe a career in this field is a marathon and everyday you get to learn new. It is not the destination but the journey that matters.

Short description

  • 🔭 I’m currently working on - Data Science and AI based applications. Most of my work is based on Computer vision and general analytics
  • 🌱 I’m currently learning - Pytorch, NLP and deploying AI models
  • 👯 I’m looking to collaborate with - Employers, Kagglers and Researchers, if you have a good idea let's work together
  • 💬 Ask me about - Data Science, Machine Learning, Deep Learning, Random ideas and expereinces
  • ⚡ Fun fact - I love learning new things, I like working as a team, and I am an amazing listener

Some Of my Achievements

  • Title winner of the Enterprise Challenge where the problem statement is from Aerogen.
  • Winner of best AI, Data Scence project in Equinox'21
  • Worked as Mitacs GRI Intern, Concordia University,CA. My project is based on Machine Learning
  • 1x Expert on Kaggle
  • Worked with SAMSUNG R&D, India on an AI project
  • Volunteer at NSS and had got lot of chances to serve the society
  • Selected for a project submission on Space Settlement and invited for attending the International Space Development conference, Toronto, Canada (ISDC) in the year 2015

Hemanth's github stats

🏆 GitHub Profile Trophy:

Connect with me:

codeSTACKr | Twitter codeSTACKr | LinkedIn codeSTACKr | Kaggle codeSTACKr | Website

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  1. CT5129-Thesis-Image-Dehazing CT5129-Thesis-Image-Dehazing Public

    ClearFlow: An Enhanced Image Dehazing Workflow Using Model Ensembling and CNN Postprocessing. This project is aimed to train a neural network to handle the task of image dehazing.

    Jupyter Notebook

  2. mlflow-project mlflow-project Public

    A mini project using mlflow based on sklearn functionalities

    Jupyter Notebook

  3. malaria-detection-torch-docker malaria-detection-torch-docker Public

    Using Docker, and ML conepts to deploy an app on local server.

    Python 1

  4. Image_Segmentation_Parking Image_Segmentation_Parking Public

    Using Image Segmentation for identifying free car parking slots

    Jupyter Notebook 5

  5. Road-Surface-Classification Road-Surface-Classification Public

    Jupyter Notebook