Welcome to my Portfolio Website where I share my work related to Data Science, Machine Learning, and Software development. Other activities I love football(soccer), cycling, music and playing guitar. Currently, I'm updating my toolbox with Feature Engineering Techniques in Machine Learning, Data visualization using Tableau, and AWS cloud development.
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Unleashing the power of data for better decision making. I play around with publicly available data to find hidden patterns which is always fascinating.
Learning from data to predict future. I'm into buidling models which are interpretable and help make intelligent decision.
Turning innovative ideas to life. I love to incoporate different ideas to solve business problem through software development tools and techniques.
You can find the links to the relevant project code through clicking in headings.
Analyzed data from Stack Exchange public database to find popular tags people use in their question posted in Data Science Community of StackExchange.
Used Random Forest Regression to predict the house price using the relevant features. Optimized the hyperparameters of the model using RandomizedSearchCv from scikit learn.
Used SQL queries to answer different business questions from the popular Chinook database- containing media related real data from an iTunes Library.
Cleaned and Analyzed Employee Exit Survey data for finding the reason behind their departure.
Detecting the traces of pneumonia through the X-ray Images using Deep Learning Techniques. Built a utility class to parse the DICOM(Digital Imaging and Communications in Medicine) file for patient info and X-rays images.
Deploying different Machine Learning models using Tensorflow serving and Docker with the help of simple UI web apps.