Shiva U

Data Science undergraduate skilled in Machine Learning, Data Analytics, Artificial Intelligence, and Data Visualization. Experienced in building AI-po...

About

Data Science undergraduate skilled in Machine Learning, Data Analytics, Artificial Intelligence, and Data Visualization. Experienced in building AI-powered applications, predictive models, and data-driven solutions using Python, Scikit-learn, Retrieval-Augmented Generation (RAG), probability & statistics, linear algebra, and MERN Stack technologies.

Skills

Languages

Python Java C

Machine Learning

Supervised Learning Unsupervised Learning Decision Trees Classification Algorithms Model Evaluation Cross-Validation

AI / Generative AI

Retrieval-Augmented Generation (RAG) Large Language Models (LLMs) Prompt Engineering Vector Embeddings Semantic Search

Libraries & Tools

Pandas NumPy Scikit-learn Tableau Git GitHub

Web Technologies

React 18 Node.js Express.js REST APIs

Databases & Vector Stores

MongoDB (Mongoose) ChromaDB SQL (DBMS)

Security

JWT Rate Limiting RBAC PII Masking Prompt Injection Detection

Projects

Enterprise Secure RAG Platform

React Node.js Express.js MongoDB ChromaDB LLM JWT Gemini 1.5 embeddings GPT-4o-mini LLaMA 3 Groq OpenRouter Mongoose BullMQ bcrypt Helmet

Built a production-grade Retrieval-Augmented Generation (RAG) platform for secure natural-language querying of organisational knowledge bases using semantic search and vector embeddings. Implemented hybrid retrieval pipeline with Gemini 1.5 embeddings, ChromaDB vector similarity search, and reranking; used GPT-4o-mini, LLaMA 3 (Groq), and OpenRouter as fallback LLMs. Designed Express.js REST API with MongoDB (Mongoose) for session management, document metadata, and audit logging; used BullMQ for asynchronous document ingestion job queues. Engineered security layer with JWT authentication, bcrypt password hashing, prompt-injection detection, PII masking, role-based access control (RBAC), Helmet headers, and API rate limiting.

Library Management System

Python OOP

Developed a console-based application with full CRUD operations and persistent file handling for managing books, members, and borrowing records. Applied object-oriented programming principles for modular and maintainable architecture with clearly separated classes and responsibilities.

Humidity Level Prediction System

Python Scikit-learn Pandas NumPy

Built an end-to-end supervised ML pipeline to predict 3 PM humidity from 9 AM weather data; performed EDA, data cleaning, and feature engineering using Pandas. Trained and evaluated a Decision Tree Classifier with cross-validation, accuracy metrics, and visual analysis to assess model generalisation.

Education

B.Tech in Computer Science and Engineering (Data Science)

Anurag University, Hyderabad

01/08/2023 - 01/04/2027

Intermediate

Sri Krishnaveni Junior College

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SSC

Indo English High School

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Certifications

Generative AI Certification

Hitbullseye

Python for Everybody

Meta (Coursera)

Data Science with Python

Rinex Technology & Skill India

Java Certification

Springboard

Contact

Email: shiva@showcaseme.in