My Portfolio

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

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

Showcase of my Projects

Data Analysis using Power BI

Data analysis project done during insideSherpa's KPMG virtual internship(2020).

Visual Question Answering

A system which understands an image and answers to the question provided to it.

Football Manager

Java project done during Zensar's 300-hour training.

Repository Project

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

Aptitutor

A student evaluation portal, to better understand the technical skills using quizzes.

Web Apps

ClassicCarz

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

FootyAnalysis

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

GizmoTex

Blog/Website for latest gadgets,computers and smartphones.

Calculator using Angular

Simple Calculator App developed using Angular during online-internship at Suven Consultants Pvt ltd.

Experiences

Below are some of the professional experiences I have had.

Neeyamo Enterprise Solutions- Implementation Consultant

Worked as an Implemenatation Consultant from January 2021 to March 2021, wherein I helped with resolution of tickets regarding payroll activities.

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).

AngularMinds-PHP Training

5 days PHP CRUD training at Angular Minds Pvt Ltd.(2016)

KPMG Data Analysis Virtual Internship (insideSherpa)

KPMG Data analysis virtual internship done on insideSherpa (2020).

JP Morgan & Chase Software Engineering Virtual Internship (insideSherpa)

JP Morgan & Chase Software Engineering virtual internship done on insideSherpa (2020).

Publications

Published Research Papers

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.

Visual Question Answering using Convolutional Neural Networks

Visual Question Answering (VQA) is a trained system which can answer the questions associated to a given image in Natural Language.

Technical Skills

Java
Python
HTML
C++
Javascript

Sql
Oracle
Mongo DB

Power BI
Machine Learning
Salesforce