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Hi šŸ‘‹, I'm Pakshal Jain

Coding

I am a passionate Data Scientist exploring new and challenging opportunities to further enhance my skills and expertise in data science, and to contribute to the advancement of data-driven solutions in various industries.

  • šŸŒ± Iā€™m currently learning to build ML and LLMs based end to end AI applications

  • šŸ“« How to reach me [email protected]

  • šŸ“„ Know about my experiences https://read.cv/pakshaljain

  • āš” Fun fact I use machine learning to predict the outcome of TV shows - spoiler alert, the data never lies.

Connect with me:

https://dev.to/pakshaljain05 pakshaljain pakshaljain pakshaljain05 @pakshaljain05

Languages and Tools:

aws docker flask git mariadb mysql opencv pandas postgresql postman python pytorch scikit_learn selenium tensorflow

Pakshal Jain's Projects

kidney-disease-classification icon kidney-disease-classification

Implemented end to end deep learning model for kidney disease classification. Used MLflow for experiment tracking and model versioning and DVC for data management. Used flask for user friendly interface to upload CT scan images. Automated CI/CD pipelines via Github Actions and deployed Docker images on AWS (ECR) and hosted on EC2 instance

mlflow icon mlflow

Getting started with mlflow experiments

stock-market-prediction icon stock-market-prediction

Created a hybrid model for stock price/performance prediction using numerical analysis of historical stock prices, and sentimental analysis of news headlines. Stock used to analyze and predict - SENSEX (S&P BSE SENSEX). Downloaded historical stock prices from finance.yahoo.com. Downloaded textual (news) data from https://bit.ly/36fFPI6

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