Work experience

• Decision Science Intern, Flipkart, Bangalore [Jan 2020 - Present]
  • Utilised demand forecasting techniques to analyse the Flipkart sales data.
  • Improved the forecasting by reducing the error by ~20% from old model.
  • Worked on regression models, moving average - exponential smoothing techniques.
• Software Development Intern, JP Morgan Chase & Co., Mumbai [May 2019 - July 2019]
  • Worked on onboarding a monolithic application to the private cloud using Kubernetes Platform.
  • Configured the application to communicate with external database and authentication tool.
• Summer Intern, Institute of Seismological Research, Gandhinagar [May 2018 - July 2018]
  • Designed website and Analysed Seismic Data
  • Automated Moment Tensor Inversion Data processing using CPS, SAC, shell scripting and PHP.
  • Worked with MySQL, Generic Mapping Tools during the internship.
  • Mentor: Mr. Ketan S. Roy

Projects

• Application of variants of GANs in image-to-image translation [Aug 2019 - Dec 2019]
  • Utilised and implemented various architecture- CGAN, Pix2Pix, StyleGAN for image-to-image translation.
  • Compared the results on different datasets - MNIST, facades.
• Automating robot navigation using reinforcement learning [Jan-May 2019]
  • Processing RGBD-Image dataset to train the model.
  • Working with ROS and gazebo to test algorithm.
  • Mentor- Dr. J.L.Raheja, Cheif Scientist, CEERI Pilani
• Ethinicity Recognition [Aug-Dec 2018]
  • Course project for BITS Pilani, Machine Learning Course
  • Compared machine learning and deep learning techniques for recognising ethinicity by face detection.
• Leaf Classification using PNN [Aug-Dec 2018]
  • Compared various classification techniques with Probabilistic Neural Network
  • Used various image processing techniques.
  • Course Project for BITS Pilani, Neural Network and Fuzzy Logics Course
• Cognitive Load Analysis using EEG [Aug-Dec 2018]
  • Used EEGLAB and mne-python for processing the brain signal.
  • Used SVM to predict low and high stress levels.
  • Mentor- Dr. A.S.Mandal, Cheif Scientist, CEERI Pilani
• Early Prediction of Heart Attack using Data Mining techniques [Jan-May 2018]
  • https://github.com/Ri7Sh/Heart-Disease-Prediction
  • Implemented the original research paper by Vikas Chaurasia
  • Used python librabries to implement ID3, CART, Random Forest Ensemble techniques.
  • Mentor - Dr. Yashwardhan Sharma, BITS Pilani

Informal Projects

• Checkmate [January-February 2018]
  • https://github.com/Ri7Sh/checkmate_apogee
  • Quizzing event conducted during APOGEE 2018 by ACMW BITS Pilani student chapter.
  • Worked on Django Framework.
• iSafe Hackathon [March-April 2018]
  • Participated in a Hackathon by Indian Road Safety Campaign.
  • Created a Django website to display analysed traffic congestion and road accident data.
    • Analysed real data provided by IRSC.
• Deal with Distractions [January-February 2017]
  • https://github.com/Ri7Sh/Deal-with-distractions
  • ACMW BITS Pilani student chapter quizzing event
  • Using Javascript and Django framework to create the web application