Skip to content

Yuvraj-ai/Resume

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

23 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Yuvraj Singh

📍 Bhopal, Madhya Pradesh
📧 [email protected]
📱 893 293 82 68
🌐 yourwebsite.com
👔 LinkedIn
💻 GitHub

Education

Vellore Institute of Technology, Bhopal
BTech in Computer Science
September 2022 – May 2026
GPA: 8.0/10.0

Coursework

  • Professional Communication Skills for Engineers
  • Theory Of Computation And Compiler Design
  • Probability, Statistics and Reliability
  • Computer Vision
  • Database Management Systems
  • Artificial Neural Networks
  • Object Oriented Programming With C++
  • Computer Networks
  • Tools and Models for Data Science
  • Operating System
  • Data Structures and Analysis Of Algorithms
  • Deep Learning
  • Applied Machine Learning
  • Reinforcement And Representation Learning
  • Natural Language Processing

Projects

AUTOCAR — A Self Driving Car, Computer Vision Project

  • Developed a deep learning-powered autonomous driving system using computer vision techniques
  • Preprocessed dataset of over 500+ driving images, applying data augmentation strategies like flipping, scaling, and rotation to expand the training set
  • Designed a custom convolutional neural network architecture with Conv2D, MaxPooling2D, Dropout, and Dense layers to classify steering commands based on Nvidia's End to End Learning for Self-Driving Cars Research Paper
  • Achieved 94% accuracy on a held-out test set, demonstrating the model's ability to accurately predict appropriate driving actions based on dataset given used to train the model
  • Integrated the trained model with vehicle controls to enable autonomous navigation, showcasing the system's real-world viability
  • Tools Used: Python, TensorFlow, Pandas, Unreal Car Driving Simulator

STOCK PRICE PREDICTION MODEL — Based on LSTM Neural Network

  • Engineered an LSTM neural network model to forecast 30-day stock price movements, achieving an average Mean Squared Error of 96% on test data
  • Processed historical market data using yfinance API, implementing MinMaxScaler normalization for optimal model performance
  • Developed a Sequential architecture with Dense and LSTM layers, incorporating time-series analysis techniques
  • Created dynamic visualizations using Matplotlib to analyze predictions against actual stock performance
  • Tools Used: Python, TensorFlow, Pandas

GITAI — AI Powered Merge Conflict Resolver and Branch Merger (Ongoing)

  • Building an AI Powered GitHub merge conflict resolver and branch merger
  • Tools Used: Python, PYQT, GEMINI AI, GITHUB REST API

Technologies

Languages

Python • Java • C • C++ • SQL • JavaScript • HTML • CSS

Certifications

  • GEN AI using IBM Watsonx
  • Overview of Geocomputation and Geo-web services (2024) by Indian Institute of Remote Sensing (IIRS), Indian Space Research Organization (ISRO)
  • NPTEL Certification (Privacy and Security in Online Social Media) by IIIT Hyderabad
  • Java (Basic) by Hackerrank

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published