May 2022 – Jul 2022 · 2 mos · Gurugram, Haryana, India

• Analyzed time series dataset consisting of 20 risk factors over a period of 1000 days using python to fnd their distribution
• Implemented algorithms for Parametric Methods, Monte Carlo, and Historical Simulation to assess the portfolio's Value at Risk
• VaR using frst-order(Delta) and frst-and-second-order(Delta & Gamma) sensitivities were compared

May 2021 – Jul 2021 · 2 mos · Noida, Uttar Pradesh, India

• Developed an IFC-BIM Viewer using the xeolabs Software Development Kit and added additional Markup and Storey View tools
• Created a script to convert .ifc files to .xkt format using CLI tools and worked on predicting layout in 3D from 360 images
• Created a python program to label the emails according to their projects, handled spell errors, and partial information cases

May 2020 – Jul 2020 · 2 mos · Madhya Pradesh, India

• Created training data for Cough Classification using Data augmentation techniques and performed Feature engineering
• A Deep learning-based model was developed and deployed using Google Cloud Function to classify raw audio of coughs
• Created 5k+ training example to develop a deep learning model to detect the cough using the concept of Trigger Word Detector