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I'm Aaryan Bhatia Ghosh, a final year computer science student at VIT, Vellore. I am a full stack developer with a keen interest in web development and machine learning.

I am also a competitive programmer and have a good grasp of data structures and algorithms. I am a quick learner and a team player. I am always looking for opportunities to learn and grow.


work experience.

Inditech- Product Management Intern Remote, Mumbai

Inditech- Product Management Intern Remote, Mumbai

Improved functionality and streamlined processes by developing and integrating modules while managing business and technical requirements. Led implementation of front-end and back-end features and designed wireframes to ensure success- ful integration of new engineering features. Managed documentation and ensured successful implementation on relevant platforms for Inditech.

Outmarch- Product Owner Intern Remote, Pune

Outmarch- Product Owner Intern Remote, Pune

Defined product vision and strategy, managed the backlog, conducted user research and testing, created wireframes and prototypes, and oversaw product launch. collaborated with stakeholders to meet customer needs, aligned with company objectives, managed client meetings, and wrote technical documentation.

GUVI- Data Science Tech Intern Remote, Chennai

GUVI- Data Science Tech Intern Remote, Chennai

Handled inquiries, proposed tech solutions, and developed data skills with Python/SQL. Collaborated on projects, taught data science concepts, and led project selection/brainstorming for future initiatives under program managers’ supervision.

Anyo- Python Backend Developer Intern Remote, Chennai

Anyo- Python Backend Developer Intern Remote, Chennai

Built RASA chatbot backend with REST APIs, optimized performance, integrated 3rd-party services using Python, Flask, and MySQL. Coordinated with frontend team, wrote test cases, unit tests, and utilized AWS.

projects.

UI/UX
Web App
Mobile App
React JS
Data Science
All

PhonePe Pulse Data Analysis

Comprehensive examination of transaction data from the digital payment platform PhonePe. Analysis focused on providing insights into both statewide and district-wide transactions.

Data Science

Multiple Disease Prediction System

A web-based platform that utilizes ML models to forecast the probability of Diabetes, Heart, and Parkinson’s Disease. Developed using Python, Pandas, Scikit-learn, Numpy, and Streamlit, employing SVM and Logistic Regression.

Data Science

Dynamic Realtime Animation Control

Real-time expression and gesture detection via webcam to render 2D/3D animations that can be broadcasted live on applications. – Tools & technologies used: Python, Blender, OpenCV

Web App

Youtube Data Harvesting and Warehousing

Access and analyze data from multiple YouTube channels. SQL, MongoDB, and Streamlit to create a user-friendly application that allows users to retrieve, store, and query data from youtube.

Data Science

Flexit

Fitness-based WebApp developed using React and Node, with RapidAPI integration and deployment on Netlify. – Tools & technologies used: ReactJS, Node, RapidAPI, Material-UI, Router

Web App

Sizzle Blogs

Made with Next.js 13, React, TailwindCSS, and Sanity.io deployed on Vercel. Helps to create blogs on the backend and publish them on the main page using Sanity Studio, CMS that can be accessed from anywhere.

React JS

Article Summarizer - SaaS Application

Experience efficient reading with Summize, a React and Redux-powered open-source article summarizer. Utilizing GPT-4, Tailwind, and APIs, it simplifies lengthy content into concise summaries. Hosted on Netlify.

Data Science

Trailnest

A comprehensive camps website using MongoDB, JavaScript, and Express, offering users a seamless experience to discover, book, and review various camping destinations with interactive maps and real-time availability.

Web App

KNG Clothing Store

E-commerce application similar to Shopify using React, Redux, React Router, Context API, Firebase, Stripe + more. Based on (MERN stack), using Firebase.

Web App

Job Hunter - LinkedIn

Python script using Beautiful Soup, Selenium, and Pandas extracts job listings from LinkedIn and uploads them to a Google Sheet – Tools & technologies used: Python, Selenium, Pandas, SheetsAPI

Web App