A showcase of my projects and technical skills
I am a software engineer at Microsoft and I am passionate about technology
A voice assistant for the current status of coronavirus worldwide as well as for a specific country (updates data every 5 seconds) in terms of total number of cases and deaths.
Detecting credit card fraud using different machine learning algorithms on an imbalanced dataset. I was able to achieve an accuracy of 99.7% using a deep learning model.
This is a project to recognize handwritten digits (original MNIST data set) by using a Convolutional Neural Network (CNN). Also, I deployed the model to my local server using Flask.
This is a model to detect spam messages using nltk library in Python, and training is done using Naive Bayes classifier. This was my first project in the field of data science.
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