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Hi, I'm Md Shahabub Alam

A versatile Data Scientist with a passion for uncovering insights from complex data through advanced analytics and machine learning techniques. Possess a strong academic background and practical experience in applying data-driven solutions to real-world problems. Proficient in various programming languages, machine learning tools, and data analysis tools, enabling the handling of diverse datasets and extracting meaningful information. Familiar with Agile methodologies and have a keen interest in staying up-to-date with the latest advancements in the field of data science. With strong analytical skills, problem-solving abilities, and collaborative spirit, a valuable asset to any team seeking to leverage the power of data.

Connect with me:

msanabid nabidalam360 Google Scholar

Languages and Tools:

angular angularjs aws azure bash bootstrap c csharp css3 django docker dotnet gcp git hadoop heroku html5 java javascript kubernetes matlab mongodb mssql mysql opencv pandas postgresql postman python pytorch react sass scala scikit_learn seaborn selenium tensorflow vuejs

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Md Shahabub Alam's Projects

applied-ml icon applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

aspcoreapi icon aspcoreapi

This is a demo application to build a RESTful API using ASP.NET Core 2.2 with EF Code first approach

aspnetcore icon aspnetcore

ASP.NET Core is a cross-platform .NET framework for building modern cloud-based web applications on Windows, Mac, or Linux.

aspnetcore-app-workshop icon aspnetcore-app-workshop

This workshop will teach you ASP.NET Core by building a complete conference management website from scratch.

awesome-cv icon awesome-cv

Modified Awesome CV LaTeX template with two column styles

bootstrap icon bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

bower-signalr icon bower-signalr

Bower package for the stable branch of SignalR JavaScript client

brain-mri-image-classification-using-deep-learning icon brain-mri-image-classification-using-deep-learning

Trained a Multi-Layer Perceptron, AlexNet and pre-trained InceptionV3 architectures on NVIDIA GPUs to classify Brain MRI images into meningioma, glioma, pituitary tumor which are cancer classes and those images which are healthy into no tumor class.

c icon c

All Algorithms implemented in C

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