Aryan Goyal

Aryan Goyal

Resume

Student Portfolio

                   

Skills :

  • Python
  • Backend Development - FastAPI, DJango, SQLALchemy, MongoDB, PostgreSQl
  • Git
  • Machine Learning - PyTorch , TensorFlow

Education :

  • (BTech in CSE) - Birla Institute of Technology, Mesra, Jaipur Campus
  • 2020 - 2024
  • 8.34 CGPA

Certification :

  • Foundation Level in Data Science and Programming - Indian Institute of Technology Madras Online Degree
  • 7.0 CGPA

Work Experience :

Financial Market Analyst Intern

Futures First

Jan 2024 - Jul 2024 ( 6 months )

  • Acquired comprehensive knowledge of Futures Spread Pricing, Fundamental Economics, and Options through practical application and analysis.
  • Developed pricing models for options, gaining insights into the limitations of option pricing theory and honing analytical skills through empirical testing and parameter adjustments.
  • Created and implemented options trading strategies aimed at maximizing profit, leveraging insights gained from pricing models and market analysis.

Leadership Experience :

1. Club Lead 2022-23 term

GDSC - Birla Institute of Technology, Mesra, Jaipur Campus

August 2022 - April 2023

2. CSE Head Coordinator

Technical Committee - Birla Institute of Technology, Mesra, Jaipur Campus

November 2022 - April 2023

3. Lead Organiser

GDSC WOW Jaipur

December 2022 - March 2023

Projects :

Project 1 : To Do List

  • Developed a scalable todo list API using FastAPI and SQLite, deployed on Render, featuring robust JWT authentication, RESTful endpoints for user and task management, and Alembic for seamless database migrations and version control.
  • Web application link

Project 2 : Credit Card Default Prediction

  • Developed a credit card default prediction model using machine learning algorithms that achieved an accuracy rate of 85% by analyzing transaction data from the last 6 months for over 10,000 customers.
  • Web application link

Project 3 : September Effect Analysis

  • Developed a comprehensive Tableau dashboard to analyze TCS stock data and identified a decrease in returns during September compared to other months.