Dhanireddy Trivikram Reddy

Full-Stack Developer | Data Science Enthusiast

Hyderabad, IN.

About

Highly motivated Computer Science student specializing in Data Science, MERN stack, Java, and Python, with a strong foundation in full-stack web development and machine learning. Proven ability to translate complex problems into innovative technical solutions, demonstrated through award-winning hackathon projects and impactful research. Eager to leverage expertise in emerging technologies to drive meaningful impact in a dynamic professional environment.

Education

B.V. Raju Institute of Technology

Narsapur, Telangana, India
→
B.Tech Computer Science and Engineering - Data Science Grade: 8.6 GPA

Courses

Data Science

MERN Stack Development

Java Programming

Python Programming

Sri Chaitanya Junior Kalasala

Hyderabad, Telangana, India
→
Pre-University Course Intermediate Grade: 95.7%

Sister Nivedita School

Hyderabad, Telangana, India
→
High School CBSE Grade: 87%

Awards

2nd Place, Tech Savishkaar 2025 Hackathon

Vasavi College

Awarded 2nd place for the Farm2Fork Agritech project, which utilized an IPFS-based QR code system to enhance agricultural supply chain transparency.

3rd Place, HackNexus Hackathon

Synergia, BVRIT Hyderabad

Secured 3rd place for developing a Streamlit-based digital skill assessment application, showcasing proficiency in rapid prototyping and data visualization.

3rd Place, SIH 2023 Ideation Hackathon

BVRIT Narsapur

Achieved 3rd place for an innovative crop disease detection app idea, demonstrating strong problem-solving and conceptualization skills in agricultural technology.

3rd Place, 72-hour Short Film Making Contest

BVRIT Narsapur

Recognized with 3rd place in a 72-hour short film making contest, highlighting creative vision and time-management abilities under pressure.

Publications

Automatic Number Plate Recognition for Bus Arrival Tracking Using Haar Cascade Classifier and Tesseract OCR

ICAI (Conference)

Authored and presented a research paper on developing an Automatic Number Plate Recognition system for real-time bus tracking. The paper details the application of Haar Cascade Classifier and Tesseract OCR for efficient number plate detection, currently under peer review.

Certificates

Full-Stack Web Development Bootcamp

Udemy

Programming in Java

NPTEL

Java Foundations and Fundamentals

Oracle

Data Science with Python

Coincent

Skills

Programming Languages

Java, Python, C, JavaScript.

Web Technologies

HTML, CSS, React JS, Node.js, Express JS, Bootstrap, Tailwind.

Databases

MongoDB, MySQL.

Tools & Platforms

Git, Postman, VS Code, Socket.io, Cloudinary, Render, IPFS, Pinata, OpenCV, Haar Cascade, Tesseract OCR.

Soft Skills

Communication, Teamwork, Critical Thinking, Adaptability, Time Management.

Interests

Hobbies

Drawing, Story writing, Reading fiction.

Projects

Gruha Anvesh - PG, BHK & Vacation Rental Platform

→

Summary

Developed a comprehensive full-stack web application for listing and booking properties, including PG accommodations, BHKs, and vacation rentals. Utilized React, Node.js, Express.js, MongoDB, Socket.io, Cloudinary, and Render to build a robust and scalable platform.

Farm2Fork - Agritech Website using IPFS and MERN Stack

→

Summary

Created an innovative Agritech platform designed to connect farmers, middlemen, and retailers, fostering a transparent supply chain for agricultural products. The platform leverages IPFS via Pinata for data integrity and traceability, built with React, Express, Node, and MongoDB.

Automatic Number Plate Recognition for Bus Arrival Tracking

→

Summary

Designed and implemented a real-time bus tracking system focused on automatic number plate recognition. The system employs computer vision techniques, specifically Haar Cascade Classifier and Tesseract OCR, to accurately detect and identify vehicle number plates.