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Hi šŸ‘‹, I'm Rizwan

Hello


An ML/DL Engineer from Pakistan

LinkedIn

  • šŸ”­ Iā€™m X MLE @ **DEV Valley Software house, PAKISTAN **

  • šŸ”­ Iā€™m currently service in **CV intern @ SINES AR lab @ NUST, PAKISTAN **

  • šŸŒ± Iā€™m currently learning Computer Vision Analytics

  • šŸ’¬ Ask me about Python,Machine/Deep Learning, Tensorflow, Pytorch

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

mysql opencv pandas python pytorch scikit_learn tensorflow numpy plotly keras ultralytics colab kaggle supervision roboflow

I am open to discussions, collaboration offers, or any exciting projects in the data science and machine learning space. Let's connect and explore the possibilities of creating innovative and impactful solutions together!

Rizwan Muzammal's Projects

athlete_ferritin_projection icon athlete_ferritin_projection

**Athlete Ferritin Projection: šŸ‹ļøā€ā™‚ļø Predicting Plasma Ferritin for Peak Performance! šŸŒ Utilizing machine learning, discover sport-specific insights for 202 athletes. Tailored training and nutrition guidance for optimal health and performance. šŸš€ #AthleteHealth #SportsScience**

sql icon sql

This GitHub repository provides a comprehensive guide and code examples for working with files in data analysis tasks using SQL. The repository aims to assist data analysts and scientists for data extraction, manipulation, and visualization.

time_series icon time_series

This GitHub repository provides a comprehensive guide and code examples for working with files in data analysis tasks using Python. The repository aims to assist data analysts and scientists in efficiently handling various types of files, such as CSV, Excel, JSON, and more, for data extraction, manipulation, and visualization of time series

working-with-files-for-data-analysis-using-python icon working-with-files-for-data-analysis-using-python

This GitHub repository provides a comprehensive guide and code examples for working with files in data analysis tasks using Python. The repository aims to assist data analysts and scientists in efficiently handling various types of files, such as CSV, Excel, JSON, and more, for data extraction, manipulation, and visualization.

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