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Md. Kishor Morol

👋 Hi there 😀

My name is Kishor!

I am working as a Data Scientist at Classy Beauty Warehouse Inc., contributing my expertise in machine learning to analyze extensive datasets, forecast product demand, and optimize inventory levels. My role involves deploying machine learning models for real-time decision-making and creating insightful dashboards using tools like Tableau and Power BI. In academia, I served as an Assistant Professor at American International University-Bangladesh, teaching courses in algorithms, data science, and machine learning.

Had an MS in Computer Science from American International University-Bangladesh, I also hold a Bachelor's degree in Computer Science & Software Engineering, achieving distinctions such as the Vice Chancellor’s Gold Medal and Magna Cum Laude. My technical skill set encompasses programming languages, machine learning, deep learning, NLP, and more.

Feel free to reach out for a more detailed discussion or if you would like to explore potential collaborations.

Connect with Me at

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Md. Kishor Morol's Projects

100daysofmlcodes icon 100daysofmlcodes

I will spend 2 hours each day to learn and implement Machine learning algorithms on different kaggle dataset.

awesome-datascience icon awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-nlp icon awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

bsa icon bsa

This work is for Bengali Sentiment Analysis

bsv icon bsv

Bengali Speaker Verification

captum icon captum

Model interpretability and understanding for PyTorch

covid-19-data icon covid-19-data

Data on COVID-19 (coronavirus) confirmed cases, deaths, and tests • All countries • Updated daily by Our World in Data

fashion-mnist icon fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

football_analytics icon football_analytics

⚽📊 A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.

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