Chalmers University of Technology, Sweden
NMAM Institute of Technology, India
Python, C++, C, Java, R, Matlab
PostgreSQL
PyTorch, Tensorflow, Keras, Power BI, STL
Master’s Thesis (Januray- 2024)
I am currently working on my Master’s thesis at Volvo GTT, focusing on using machine learning to identify reasons why truck drivers turn off one of the ADAS functions and what leads to them disabling it.
Summer Intern (June-August 2023)
Worked in the people analytics team on development of regression models for estimating human resources factors within the company along with improving Power BI reports.
Research Assistant (February-June 2023)
Worked on analysis of data collected from e-scooters as a part of the e-SAFER project at the Division of Vehicle Safety within Chalmers University of Technology.
Using CNN, the CheXNET model for feature extraction, LSTM, and RNN to build a predictive model that involves frontal and lateral chest Xray images and text processing to build a deep learning model.
This project utilizes TensorFlow and Keras to apply neural networks (Basic, LSTM, and GRU) to predict input parameters for a human head-antenna system using scattering parameters. The GRU model consistently outperforms others, showcasing its potential for accurate predictions
Using HOG to find the magnitude and angle of each pixel so that we could extract features from the image. Implemented a Support Vector Machine, which is a classifier used to classify if the face is real or fake.
Using neuroevolution of arguments topologies, trained an agent to play a clone of the game Flappy Bird. Both the game environment and AI are programmed using Python.
An android app that contains detailed information on the food items, the health benefits, and the diseases that can be prevented by the consumption of the specific food item.
Attended Workshop on Machine Learning conducted by the Department of Computer Science Engineering, NMAM Institute of Technology in Association with Google DSC.
Certified by edX in association with Microsoft.
Completed the certified course offered by Stanford University