eepi Uday Bhaskar
Email: udaybhaskarveepi@gmail.com
Mobile:- 8328135478
EDUCATION
Malla Reddy College Of Engineering [MRCE] Hyderabad, India
• Bachelor of Technology - Computer Science(Data Science); CGPA : 7 2021 - 2025
Sri Chaitanya Junior Kalasala Hyderabad, India
• Class XII, CGPA : 8 2019 - 2021
Gitanjali Devakul Hyderabad, India
• Class X, CGPA : 7
2018 - 2019
SKILLS SUMMARY
• Languages: C, Java, Python, SQL, JavaScript
• Tools/Frameworks: Git, Jupyter Notebook, Flask, Keras, Tensorflow, MySQL
• Web development: HTML, CSS, JavaScript, Bootstrap CSS, Tailwind CSS, jQuery, ReactJS,
Django, NodeJS
• Operating System: Windows, Linux
PROJECTS
• JOSAA Data Analysis Portal:
◦ Developed a data analysis website for performing comparative analysis on IITs, branches, and
female category trends, utilizing MySQL, PHP, web scraping, and linear regression.
◦ Implemented a d3.js visualization tool to dynamically display student flow across IITs and branches.
• Image Caption Generator:
◦ Implemented an image caption generator using VGG16 and LSTM, achieving a BLEU-1 score of
0.546 with the Flickr-8K Dataset.
◦ Utilized the bloom-1b7 transformer model and fine-tuned parameters to generate creative story
prompts from images.
• GMeet Clone:
◦ Developed a Google Meet clone using Node.js, enabling authenticated users to schedule or join
meetings with chat and whiteboard features.
◦ Implemented a P2P network with PeerJS and Socket.IO, and set up Google authentication using
Passport.js.
• Crack Detection in Bridges and Buildings using CNNs:
◦ Developed a CNN model for detecting and classifying cracks in buildings and bridges.
◦ Focused on dataset preprocessing, model training, and optimization for accurate defect identification.
◦ Aimed to contribute to safer and more efficient infrastructure maintenance.
• Unemployment Analysis :
• Analyzed employment and unemployment rates in Indian states using Matplotlib,Seaborn,Pandas,
and NumPy. Applied data visualization to highlight regional workforce dynamics, showcasing proficiency in
Python tools and offering concise insights into India's unemployment landscape.