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adupatil/README.md

Hi there, I'm Adwait Patil πŸ‘‹

I'm passionate about Machine Learning and Data Science. With the development of technology, I believe that there is a huge potential for Artificial Intelligence in different domains. The rapid rate at which there is advancement in computing power and the freedom to take a large amount of data really pushes the field of Data Science and Machine Learning to a whole new level.

πŸ‘¨β€πŸŽ“πŸ™‹β€β™‚οΈ About Me πŸ’ΌπŸŽ’:

I'm an MS in Data Science student at Northeastern University Khoury College of Computer Sciences.

πŸͺšπŸ”§ My Skills πŸ˜€πŸ˜€:

skills

πŸŽ¬πŸ“  My GitHub Summary:

Feel free to take a look at my GitHub overview. This gives a good understanding of the languages used along with the total commits. By taking a look at this summary, it is handy to get to get a brief overview of the entire portfolio. Thanks.

+ The images are downloaded and used thanks to https://unsplash.com/ and https://giphy.com/ websites. πŸ™‚

πŸ’ΌπŸŽ’ My Portfolio Overview:

I had an amazing experience doing machine learning and deep learning projects. Below are the links to my projects. If you want more information about the projects, feel free to scroll to the end of this website where I describe in great detail the projects and the results obtained. Below is a summary of the entire portfolio. Feel free to take a look. Thanks!

πŸ–₯ Projects

πŸš΄β€ ASL detection and Video Captioning πŸš™ Covid-19 detection using Audio data
🏦 Loan Credibility Prediction πŸ„πŸ§˜πŸ»β€β™€οΈ Predicting Churn Risk Rate
βš•οΈ Car Driving Segmentation πŸ«€ Image Generator Using GANs
🏚 TItanic Survival Prediction Face Detector

Reinvent The Wheel 2.0

πŸ“š Forecasting volume of scrap πŸ‘Ή Logistics Dispatch Optimization

πŸ–₯ Computer Vision Projects

πŸŽ‹ Image Classification using Transfer Learning πŸ•Έ Object Detection using CNNs

πŸ–₯ Data Visualization Projects

πŸ“½ YouTube Trending Video Analysis πŸ” Kaggle Survey

πŸ–₯ Work Experience

   πŸ‘¨β€πŸ«πŸ§‘β€πŸ« TA (Supervised Machine Learning) | Khoury College of Computer Sciences [September 2022 - Present]

   πŸ’πŸ‘¨β€πŸ’» Data Scientist Intern | NVIDIA [May 2022 - August 2022]

   πŸ‘¨β€πŸ«πŸ§‘β€πŸ« TA (Natural Language Processing) | Khoury College of Computer Sciences [December 2022 - May 2022]

   πŸ§ͺπŸ‘¨β€πŸ”¬ Research Assistant | Khoury College of Computer Sciences [December 2022 - April 2022]

   πŸ€–πŸ¦Ύ Data Scientist | Solbots Technologies Private Limited [January 2018 - December 2018]

πŸ“πŸ“‘ My Work Experience

πŸ‘¨β€πŸ«πŸ§‘β€πŸ« TA (Supervised Machine Learning) | Khoury College of Computer Sciences [September 2022 - Present]

  • Worked with students in helping them understand the assignments and guiding them in the process to make the concepts of supervised machine learning understandable.
  • Regularly attended the office hours to discuss with students about their progress in the assignments and also suggesting them changes to be made to get the best results.
  • Often had meetings with the professor and other teaching assistants to make modifications to the syllabus and assignments.
  • Directed a large number of students in the right direction especially for job applications for internships.

πŸ’πŸ‘¨β€πŸ« Data Scientist Intern | NVIDIA [May 2022 - August 2022]

  • As a data scientist at NVIDIA, I was influential in using state-of-the-art machine learning and deep learning models to predict the future demand of products based on the past history.
  • In addition to this, classical models were also used and compared before deciding the best architecture for supply chain optimization.
  • Finally, the explainable part of artificial intelligence was implemented with the use of tools such as LIME and SHAP in Python. This ensured that the predictions given by various ML models are made interpretable to the business before they take action from them.
  • Improved the functionality of SAP for demand forecasting to include more models and predictive capabilities by adding state-of-the-art models and getting high predictive accuracy (95% or above).

Popular repositories Loading

  1. Live_ASL_Detection Live_ASL_Detection Public

    Detecting American Sign Language on live video using Resnet50

    Python 3 1

  2. ShareConn ShareConn Public

    A website like reddit

    Python 2 1

  3. Boston_dataset Boston_dataset Public

    Jupyter Notebook 1

  4. Cost-Prediction Cost-Prediction Public

    A Hackerank hacakthon project for estimating cost of shipment based on given data

    Jupyter Notebook 1

  5. Sale-price-predictor Sale-price-predictor Public

    Using Housing data from Kaggle to predict sale price of houses

    Jupyter Notebook 1

  6. covid19_detection covid19_detection Public

    Detecting if person is infected or not using coswara dataset

    Jupyter Notebook 1 2