My Portfolio

Hello,
I am a Computer Engineering Graduate interested in Data Science, AI, software Development and Robotics.

Please, Feel free to check my collection of apps and projects I have done. Thank you.

Showcase of my Projects

Breast Cancer Mortality Survival Prediction

A machine learning project which predicts the survival rate of patient and classifies breast cancer patients helping doctors to identify critical cases (source code is private- project ongoing)".

Data Analysis using Power BI

Data analysis project done to demonstrate the learning of core module taught in univerisity "Data Visualization and Dashboarding".

Visual Question-Answering System

Bachelors dissertation project,A system which understands an image and answers to the question provided to it, using CNN, RNN Deep learning.

Leave Management System

Diploma dissertation project, implemented online LMS for college, got student of the year award for this project.

Repository Project

Repository system for a steel company to analyze the product and sales info, and also to predict the profits using Linear Regression.

City Classified

A web page where you can find part time jobs posted by employers.

Web Apps

classiccarz

ClassicCarz

Web App created using ReactJS, hosted using Netlify and ta managed through Contentful.

footyanalysis

FootyAnalysis

Website for analyzing Premier League's football players.Charts, Graphs developed using JS.

Experiences

Below is my professional summary.

Capgemini

Capgemini Technologies, pune

Worked as an associate Consultant from March 2021 to August 2024, wherein I as a vendor for HSBC.

Zensar ESD

Zensar Technologies-Employability Skills Development(ESD)

3-month technical training on Java and MySQL by Zensar Technologies at JSPM's RSCOE college campus(June2019-Aug2019).

Config solutions Internship Diploma 2017

Software development internship done at Config solutions, implemented LMS for college (2017).

Publications

Published Research Papers

PAPER1

A Review of Different Approaches for Visual Question-Answering Systems

Visual Question Answering (VQA) is an AI-based system where for a given pair of question and image, the system attempts to give a relevant answer. This is usually a combination of image processing and understanding the question to match both to deliver the output. VQA can be efficiently used for scenarios where identification and classification of the images are needed.

Technical Skills