RAVI KUMAR SANGANI

Aspiring Software Engineer | AI/ML & Data Science Enthusiast

Eluru, IN.

About

A highly motivated Bachelor of Technology student in Computer Science and Technology with a strong foundation in AI/ML, data science, and full-stack development. Proven ability to apply theoretical knowledge to practical solutions through impactful projects, including developing machine learning models for disease prediction and automating data extraction. Eager to leverage strong programming skills in Python and Java, along with cloud computing expertise, to contribute to innovative software development challenges.

Education

Sri Vasavi Engineering College

Eluru, Andhra Pradesh, India
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Bachelor of Technology Computer Science and Technology Grade: 77% (for 4 semesters)

Sri Chaitanya Junior College

Eluru, Andhra Pradesh, India
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Senior Secondary School Science Grade: 91.2%

Triveni High School

Eluru, Andhra Pradesh, India
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Secondary School General Studies Grade: 81.4%

Awards

Problem Solving Excellence

GeeksforGeeks

Achieved proficiency in Data Structures and Algorithms by successfully solving over 100 problems on GeeksforGeeks, demonstrating strong analytical and coding capabilities.

Certificates

GitHub Workshop

Brainovision Solutions India Pvt.Ltd

Cloud Virtual Internship

Eduskills and AICTE (All India Council of Technical Education)

Java Full Stack Developer Virtual Internship

Eduskills and AICTE (All India Council of Technical Education)

Artificial Intelligence Workshop

Google Developer Student Club SVEC

Skills

Programming Languages

Java, Python, C, HTML/CSS, SQL.

Frameworks & Libraries

TensorFlow, Keras, Flask, Requests, Selenium, Pandas.

Cloud Platforms

AWS.

Tools & Version Control

GitHub.

Concepts & Methodologies

Machine Learning, Deep Learning, Convolutional Neural Networks (CNN), Large Language Models (LLM), Data Structures & Algorithms (DSA), Web Scraping, Data Processing, API Integration, Cloud Infrastructure.

Projects

E-Commerce Product Dataset Generator

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Summary

Created a Python program to automate the extraction and structuring of product data from desired e-commerce platforms into usable datasets.

YouTube Video Summarizer

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Summary

Engineered a Python program to extract and summarize YouTube video transcripts using advanced Large Language Models.

Alzheimer Disease Prediction

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Summary

Developed a machine learning model using Convolutional Neural Networks (CNN) to process X-ray images for early Alzheimer's disease prediction.

Secure AWS Infrastructure Deployment (Hackathon)

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Summary

Participated in a 24-hour hackathon to design and implement a basic yet secure cloud infrastructure on Amazon Web Services (AWS).