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Jinal4502/README.md

Hello! This is Jinal! 👋

Here's a short intro about myself:

  • 🧑‍🎓 I am on my way to becoming a Climate Data Scientist. I am currently pusruing MS in Computer Science at Arizona State University, Tempe. Before that, I earned my pre-doctoral fellowship in Computer Science and Automation from Indian Institute of Science (IISc), Bangalore, where my domain was Computational and Data Science. I have completed Bachelor of Engineering in Information and Communication Technology with a Gold Medal.
  • 🌟 The foundation of my passion towards climate science research was inculcated during my data-science research internship at Indian Space Research Organization (ISRO) where I built a real time weather nowcasting tool for HEM Nowcast under the guidance of Sci. Bipasha Paul Shukla. Click the checkbox of HEM Nowcast to view our product.
  • 👩‍💻 I have hands on experience in data handling using python alongwith knowledge to implement several Machine Learning Algorithms and Neural Networks, probability and statistics involved.
  • 🕵️‍♀️ Me being a Climate Data Science Enthusiast, am currently exploring the field of Artifical Intelligence in Climate Science.
  • ⚡ Fun fact: I have a huge interest in philosophical and mythological stuff.

How to reach me?

Languages, Libraries and Tools I am familiar with:

Python, Tensorflow, Pytorch, Sklearn, Numpy, Pandas, Geopandas, Matplotlib, Imageio, Linux, Ubuntu, Shell Scripting, Java, C, SQL, HTMl-CSS-JS, Django, Flask

Educational Websites which I use to update myself:

Pinned Loading

  1. Sikkim-Flood-Analysis Sikkim-Flood-Analysis Public

    Sikkim Flood Analysis

    Jupyter Notebook

  2. RainPrediction RainPrediction Public

    Jupyter Notebook

  3. Glacier-Retreat-Analysis Glacier-Retreat-Analysis Public

    Conducted glacier retreat analysis of the Mendenhall Glacier in Alaska by utilizing 10 years of LandSat-8 data, obtained through Google Earth Engine, plotting RGB bands using Python, performing seg…

    Jupyter Notebook

  4. Integrated-Classification-and-Segmentation-Model-for-Chest-X-ray-Examination Integrated-Classification-and-Segmentation-Model-for-Chest-X-ray-Examination Public

    Developed a combined classification (ConvNext) and segmentation (UperNet with Swin Backbone) model for analyzing chest X-rays, validated on the ChestXDet dataset with 0.42 IoU and 0.81 AUC score.

    Python

  5. Model-Pruning-and-Multi-Point-Precision-Optimization Model-Pruning-and-Multi-Point-Precision-Optimization Public

    This project explores FP16, INT8, mixed-precision quantization, and unstructured pruning on ResNet-18 to study their impact on inference time, size, and accuracy. Since PyTorch pruning isn’t compat…

    Jupyter Notebook

  6. ghg-dashboard ghg-dashboard Public

    Python