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Helloo Awesie people of the world, I am Siddhant 👋

I am a third-year Computer Engineering Student at Dwarkadas Sanghvi College of Engineering in Mumbai, India. I'm passionate about quantum computing, machine learning, and developing innovative solutions to solve real-world problems.

sakura-cherry-blossoms

My Experience

  • 👨‍đŸ’ģ Qiskit Advocate at IBM Quantum (Oct 2023 - Present)
  • 🌱 ML Research Intern at Tallinn University of Technology (May 2023 - Present)
  • 👨‍đŸ’ģ Computer Science Subject Matter Expert at Chegg India, helping users with technical issues like programming languages, database management, and computer networks
  • 🌱 Summer ML Research Intern at Delhi Technical University, working on a Flutter application and medical-based deep learning models
  • 🚀 Open Source Research Developer for Qiskit & QIMP at Quantum Open Source Foundation, currently working on a research paper regarding Quantum Image Enhancement in the Sustainable Energy Sector.

Achievements

  • 🏆 Winner of Smart India Hackathon 2023, Bajaj Finserv HackRx 4.0, and Lines Of Code - ACM LOC 5.0 hackathons
  • 🎓 Qualified GATE 2024 in Data Science and Artificial Intelligence with an All India Rank of 253
  • 🌐 IBM Certified Associate Developer in Quantum Computation using Qiskit
  • ☁ī¸ Microsoft Certified in Azure Fundamentals AZ900

Profile Views :-

elucidator8918

đŸ’ģ Tech Stack:

C HTML5 Java JavaScript Julia LaTeX Markdown TypeScript Python AWS Azure Google Cloud Netlify Vercel Anaconda Bootstrap FastAPI Flask Flutter NPM NodeJS React Spring Threejs MUI TailwindCSS Jenkins Nginx MongoDB MySQL SQLite Keras NumPy TensorFlow Pandas Plotly PyTorch scikit-learn SciPy LINUX Docker Kubernetes Raspberry Pi Swagger Notion Postman

Here you will find some of the most relevant badges earned, for a complete list, please click here.

Quantum Computing

Microsoft Azure

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My Projects

  • 🚗 CarGPT: Price Suggestion Website - Developed a model that uses VGG16 to identify the extent of dents in car images and suggests the best price for cars based on various features
  • 🔍 Authentica: Creating Digital Identity - Developed a system in LOC 5.0 Hackathon that aims to simplify the process of offline verification and document submission for government documents in India
  • 🎧 Freesound Audio Tagging - Built deep learning models that classify sounds in audio clips into different categories, like music, speech, animal sounds, etc.
  • 💰 Mercari Price Prediction - Predicted product listing prices on Mercari's marketplace using a variety of machine learning algorithms

Fun Facts About Me

  • 🎮 I'm a writer at heart and enjoy writing expository papers in my free time
  • 🧑‍đŸ”Ŧ I love researching in various fields and love to seek out the depths of technology frameworks as well as the underlying physics of the world.

Contact Me

Siddhant's Projects

copilot_hackathon_weather_cli icon copilot_hackathon_weather_cli

A command-line tool that accepts a city's name and returns the current weather forecast. Leveraging OpenWeatherMap API to fetch weather data and parse it using Python. Your solution should demonstrate how GitHub Copilot can help you with API usage, data parsing, and error handling.

djcsi_lichtdencode icon djcsi_lichtdencode

DeepFence - A comprehensive threat intelligence solution that can detect and analyze potential security threats from various sources, including networks, systems, and applications

enemiesofsyntax_datahack icon enemiesofsyntax_datahack

This datathon aims to leverage machine learning techniques to develop a predictive model that can accurately predict the price of used cars. The goal of the datathon is to develop a predictive model that can accurately predict the price of a used car based on these and other factors.

gym-snakegame icon gym-snakegame

A gymnasium-based RL environment for learning the snake game.

mercari-price-prediction icon mercari-price-prediction

A regression task designed to suggest the best listing price to the vendor of a reconditioned item on the online marketplace Mercari, which links sellers and buyers. The listing price is generated for the seller after entering the product's name, description, category, brand, shipment status, and item condition.

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