Hello, I am

Sai Kushal Vittanala

Computer Science Engineer | Data-Analyst & Full-Stack Developer

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My Intro

About Me

Experience

3 Years of Programming

Completed

7+ Projects

Expertise

Knowledge of Multiple Subjects

I'm a Computer Science student at VIT-AP with a strong focus on Data Analytics and AI/ML. I specialize in building intelligent systems and extracting actionable insights from data.

My technical expertise spans data analytics tools (Power BI, Tableau, SQL), machine learning (TensorFlow, OpenCV), and full-stack development (MERN stack). I've developed real-time computer vision systems achieving 97% accuracy, created interactive dashboards analyzing 25K+ orders, and built scalable web applications that improved user engagement by 40%.

With a solid foundation in Data Structures and Algorithms—demonstrated through 500+ LeetCode problems solved (1700+ rating) and a 2-star CodeChef rating (1500+)—I combine strong problem-solving skills with practical implementation experience. My AWS and Azure certifications, along with published research achieving 92.31% accuracy in disease prediction, reflect my commitment to continuous learning and technical excellence.

I'm passionate about transforming complex data into meaningful insights and building solutions that make a real impact.
I’ve built intelligent systems like real-time face recognition and fight detection using YOLO, OpenCV, and TensorFlow,
and developed scalable platforms such as food waste donation systems and interactive quiz apps.

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My Journey

Education

B.Tech in Computer Science and Engineering

VIT-AP University

Jul 2022 – Jun 2026 CGPA: 8.42 / 10

Intermediate – MPC (Maths, Physics, Chemistry)

Sri Chaitanya Junior College, Vijayawada

2020 – 2022 Grade: A | Marks: 946 / 1000

SSC (Secondary School Certificate)

Sri Chaitanya High School, M. Puram, Vijayawada

2019 – 2020 Division: First | Marks: 559 / 600
My Abilities

Technical Skills

Programming Languages

Python

Advanced

JavaScript

Intermediate

Java

Intermediate

C

Intermediate

Frontend Development

HTML5

Advanced

CSS3

Advanced

React.js

Intermediate

Backend & Database

Node.js

Intermediate

MySQL

Advanced

MongoDB

Intermediate

REST APIs

Advanced

Data Science & AI/ML

TensorFlow

Intermediate

OpenCV

Advanced

Pandas & NumPy

Advanced

Scikit-learn

Intermediate

Cloud & DevOps

AWS

Intermediate

Azure

Basic

Docker

Intermediate

Git

Advanced

Development Tools

VS Code

Advanced

Jupyter Notebook

Advanced

Postman

Intermediate

Figma

Basic
My Services

What I Offer

Web
Development

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Web Development

I build full-stack web applications using modern frameworks and databases that are fast, responsive, and scalable.

  • Interactive and responsive UI with React.js

  • Backend development using Node.js, Express, and MongoDB/MySQL

  • Authentication, leaderboard systems, and API integration

  • Real-time data interaction and performance optimization

AI/ML & Data Science

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AI/ML & Data Science

I build intelligent systems using machine learning and data analytics that deliver real-time insights and automation.

  • Real-time face recognition and fight detection using MTCNN & YOLO

  • Data preprocessing, model training, and evaluation using TensorFlow & scikit-learn

  • Feedback sentiment analysis using NLP pipelines

  • Optimizing systems for latency, accuracy, and efficiency

Programming

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Programming

I write clean, efficient, and scalable code to solve complex problems and build production-ready applications.

  • Problem-solving using DSA in Python, Java, and C

  • RESTful API design and backend logic implementation

  • Deployment and version control using Git and Docker

My Portfolio

Recent Works

All Web Computer Vision Data Science

Face Recognition System

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Food Waste Management System

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Quiz Website

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Portfolio Website

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Super Store Analysis

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PowerBI Dashboard

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Fight Recognition System

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Computer Vision-Based Face Recognition System

Technologies: Python, MTCNN, TensorFlow, OpenCV, Deep Learning

  • Deployed a system achieving 30 FPS latency and reducing manual monitoring by 65%.

  • Achieved 97% precision and 85% recall in challenging lighting conditions.

  • Minimized false positives by 70% through advanced preprocessing.

View on GitHub

Food Waste Management System

Technologies: Python, SQL, TensorFlow, Geolocation

  • Developed a full-stack app that reduced regional food waste by a measurable 35%.

  • Increased transaction throughput by 40% by refining SQL database queries.

  • Integrated an NLP component to analyze user feedback and improve usability.

View on GitHub

Quiz Website

Technologies: React.js, Node.js, MongoDB, JavaScript

  • Improved user engagement by 40% with authentication and leaderboards.

  • Slashed data retrieval time by 60% using MongoDB, impacting over 10,000 daily active users.

  • Implemented TCP/IP networking protocols for seamless communication.

View on GitHub

Portfolio Website

Technologies: HTML5, CSS3, JavaScript, Responsive Design

  • Responsive portfolio showcasing projects and skills with modern UI/UX design.

  • Interactive animations and smooth scrolling for enhanced user experience.

  • Cross-browser compatibility and mobile-first design approach.

View on GitHub

Super Store Analysis

Technologies: Tableau, PowerBI, SQL, Data Analysis, Business Intelligence

  • Comprehensive analysis of retail store data to identify sales patterns and trends.

  • Data visualization and statistical insights for business decision making.

  • Customer segmentation and product performance analysis using Python libraries.

View on GitHub

PowerBI Dashboard

Technologies: PowerBI, Data Visualization, Business Intelligence, DAX

  • Interactive business intelligence dashboards with real-time data insights.

  • Advanced data modeling and DAX calculations for complex business metrics.

  • Professional reporting solutions with dynamic filtering and drill-down capabilities.

View on GitHub

Fight Recognition System

Technologies: Python, YOLO, OpenCV, Computer Vision, Deep Learning

  • Real-time fight detection system using advanced computer vision algorithms.

  • YOLO-based object detection for identifying violent behavior in video streams.

  • Automated alert system for security and surveillance applications.

View on GitHub

Certifications

MongoDB Intermediate DBA

MongoDB Intermediate DBA

AWS Cloud Foundations

AWS Cloud Foundations

Link
AWS Cloud Architecting

AWS Cloud Architecting

Link
Azure Data Fundamentals

Azure Data Fundamentals

Link
AWS Cloud Practitioner

AWS Cloud Practitioner

Link
Oracle Cloud Infrastructure Foundations

Oracle Cloud Infrastructure Foundations

Link
Get in touch

Contact Me

Talk to me

Email

saikushal185@gmail.com Write Me

WhatsApp

+91 9121274005 Write Me

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