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Hi there I'm Samit Kapadia

Samit Kapadia

I'm a curious computer engineer, fascinated by the puzzles in the world around me. With a quest for ever-increasing knowledge and insatiable curiosity, I strive for challenging opportunities to exercise and build upon my repertoire of computation, development, and collaboration skills, and aspire to combat problems which result in positive impacts on the community. I am also a full stack Web Developer. Open to make new connections and if you wanna work on some project and get to know me more, then check me out on Linkedin. Checkout my Website.

I'm a student

  • University of California San Diego for MSCS Fall'22
  • </> I'm currently learning DSA for interview prep
  • šŸŒ± I'm currently working on ExploringML
  • šŸŒ± Currently reading ML Concepts: Introduction to Statistical Learning
  • šŸ‘Æ Iā€™m looking to collaborate on ML Projects
  • šŸš— I follow Formula 1 since '16 and almost never miss a race

Connect With Me:

gmail Linkedin instagram

Skills:

PHP Python Keras TensorFlow Pandas NumPy Jupyter Flask React MySQL MongoDb NodeJS JavaScript HTML5 CSS3 GitHub Git C C++

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Samit Kapadia's Projects

automl icon automl

AutoML is a distributed machine learning pipeline designed to scale to large datasets. AutoML aims to automate the entire process of solving a classification problem. It just requires the dataset and the target column as an input and then the system takes care of the rest. Efficient cleaning of the dataset is performed, which imputes all the missing values and gives better structure to the dataset. The system is capable of detecting categorical values, thus performing One-Hot Encoding where required. Further, in the preprocessing stage, it also takes care of feature engineering, dimensionality reduction, sampling and removal of outliers which affect the accuracy of the model. After the preprocessing stage, the ready data is trained on several models, with multiple different hyperparameters. The output of the system is the name, accuracy and code of the best model, which is judged based on its accuracy. The system is tested on over 30 datasets, both binary and multi-class classification and there is a robust system to quickly train any dataset given to it.

nlp icon nlp

Re-learning the basics of NLP with some implementation

re-bag icon re-bag

šŸ‘œ A real-time auction site for reselling antiques and luxury products. Sem IV OSTL project.

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