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
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