Hello, I'm

Pranathi Suravarapu

I am a

B.Tech student specializing in Artificial Intelligence and Machine Learning. Focused on developing analytical models, optimizing data systems, and building clean web applications with full-stack capabilities.

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Pranathi Suravarapu

About Me

I am an ambitious Artificial Intelligence and Machine Learning undergraduate at MVGR College of Engineering. With a solid foundation in data structures, algorithms, and core computing disciplines, I focus on turning complex datasets into functional intelligence.

My journey spans hands-on framework implementation, deep learning application design, and real-time app engineering. I excel in agile team contexts, driving technological solutions from concept to implementation while adhering to strict code architectures and optimization standards.

Location: Vizianagaram, Andhra Pradesh, India
Email: pranathi8812@gmail.com
Languages: English, Telugu

9.08

Current B.Tech CGPA

5+

Industry Certifications

Top 5

GDG Hackathon Rank

Technical Expertise

Languages

  • Python
  • C
  • C++
  • HTML5 & CSS3
  • JavaScript

AI & Data Science

  • TensorFlow & TF Lite
  • Neural Networks (CNNs)
  • Exploratory Data Analysis
  • Generative AI Analytics
  • Machine Learning Models

Frameworks & Tools

  • React
  • MySQL
  • MariaDB
  • GitHub / Git
  • VS Code

Core Concepts

  • Data Structures & Algorithms
  • Database Management (DBMS)
  • Object-Oriented Programming
  • Problem Solving & Optimization

Education History

2024 - 2028

B.Tech in Artificial Intelligence and Machine Learning

MVGR College of Engineering, Vizianagaram

CGPA: 9.08

Relevant Coursework: Data Structures, Database Management Systems (DBMS), Object-Oriented Programming (OOP).

2022 - 2024

Intermediate (IPE)

Apex Junior College, Vizianagaram

Score: 94.1%

Focused concentrations in Mathematics, Physics, and Chemistry preparing for engineering design standards.

Graduated 2022

Secondary School Certificate (SSC)

Secondary Education Board

Score: 95%

Academic excellence foundation with a comprehensive grasp of baseline scientific and analytic logic.

Professional Experience

Google AI-ML Intern

EDUSKILLS (AICTE Virtual Internship)

Jan 2026 - Mar 2026 Remote
  • Built and deployed TensorFlow-based neural network models designed for complex image recognition and classification pipelines.
  • Worked alongside convolutional neural networks (CNNs) and deep pretrained architectures for production-level AI utility.
  • Developed object detection solutions utilizing TensorFlow Lite and Model Maker pipelines for efficient low-compute execution targets.
  • Integrated AI-driven visual search and smart contextual categorization services inside target system applications.
  • Optimized weights and structured hyperparameter tuning routines to maximize cross-validation precision metrics and runtime evaluation speeds.

Projects

Just-In-Time Food Rescue App

A real-time production application engineered to mitigate resource loss protocols. Connects local bulk surplus food donors directly with high-priority humanitarian distribution agencies near real-time constraints[cite: 35, 36].

React Python HTML5 / CSS3 REST APIs
  • Constructed the complete frontend user flow layer architecture using React to maintain fluid interaction handling[cite: 37].
  • Engineered highly reactive asynchronous API communication endpoints via clean Python backends[cite: 38].
  • Applied strict responsive design principles across mobile viewpoints for accessible resource tracking[cite: 39].

Academic & Industry Experiences

GenAI Powered Data Analytics Simulation

A deep-tier simulated production task stack via TATA Forage, optimizing business risk frameworks through automated intelligence configurations[cite: 105].

Generative AI Exploratory Data Analysis Predictive AI
  • Conducted automated structural EDA and financial risk profiling routines[cite: 109].
  • Constructed machine learning models to identify tracking variances and evaluate delinquency risks[cite: 110].
  • Authored clean automated data storytelling architectures translating raw analytics directly into tactical business strategy[cite: 111].

Apply AI: Customer Review Analyzer

A natural language processing pipeline built inside Cisco Networking Academy setups to handle granular evaluation matrix parameters on textual data[cite: 93, 94].

Natural Language Processing Python Classification
  • Parsed customer review feedback collections using dynamic algorithmic evaluation blocks[cite: 93].
  • Categorized sentiment clusters to support real-time user-experience iterations[cite: 93].

Certifications & Credentials

GDG Hackathon Top 5 Finalist

Proudly secured a Top 5 placement in the Google Developer Groups (GDG) Hackathon hosted at MVGR College. Commanded team engineering efforts to whiteboard, validate, and present optimized enterprise solutions against high-pressure sprint timelines.

Get In Touch

Let's collaborate on your next system deployment.

I am seeking engineering internship opportunities and complex data positions where I can bring direct framework velocity to active dev operations.

Direct Line

+91 8919836528

Base Location

Vizianagaram, Andhra Pradesh, India

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