smart-primate,Siddhant Pattanaik,github

👋 Hi, I’m Siddhant. A Geophysicist by profession, I’m currently developing my skills in Machine Learning, especially Deep Learning. I am fascinated by the potential to marry my existing knowledge of seismic data analysis and my newly acquired skills in deep learning. Hence, I am looking to collaborate on projects where I can contribute with my experience working with seismic data and my relatively new skills with Deep Learning.

Please feel free to reach out to me via email: [email protected] or [email protected].

"The light at the end of the tunnel is a train."

Siddhant Pattanaik's Projects

automatic_ticket_classification

Automatic classification of tickets / complaints in the financial / banking sector.

cab_driver_optimization

A project to optimize the assignment of cab drivers for a taxi hailing app using Reinforcement Learning.

generating_mnist_data_using_dcgan

Creation of artificial MNIST digits after learning the style of real MNIST data using a DCGAN

gesture_recognition_using_3d_cnns__lstm_gru

Gesture recognition to control the television without using a remote.

house_price_prediction

An attempt at identifying the features which most affect house prices and create a model which can predict house prices.

linear_regression_bike_sharing

Project to learn linear regression using python, statsmodels and scikit-learn

mri_style_transfer_using_cyclegan

Build a Generative adversarial model (modified U-Net) which can generate artificial MRI images of different contrast levels from existing MRI scans.

named_entity_recognition_healthcare_data

Named Entity Recognition in Healthcare data to identify possible diseases and their suggested treatments from a corpus of medical text containing both disease and treatment.

skin_cancer_detection_using_cnn

An attempt to detect skin cancer using Convolutional Neural Networks.

smart-primate

Config files for my GitHub profile.

telecom_churn_case_study

A case study to identify the major factors which indicate that a customer is about to leave a mobile network. Subsequently, a model is built to predict churn customers in the future.