U Krishna Koushik

Data Science & Machine Learning Enthusiast

B.Tech Computer Science student passionate about turning data into insights and building intelligent solutions for real-world problems.

Developer animation

Technical Skills

Programming Languages

Python JavaScript SQL Java C++

AI/LLM & RAG

LangChain LangGraph Groq API Gradio Vector Databases RAG Patterns

Machine Learning

Scikit-learn Pandas NumPy Feature Engineering Model Evaluation TensorFlow PyTorch

Databases & Storage

MySQL MongoDB ChromaDB PostgreSQL

Web & Deployment

Django Flask HTML & CSS JavaScript Hugging Face Spaces Streamlit

Tools & Platforms

Git & GitHub Jupyter Notebooks Google Cloud Linux Docker

Featured Projects

AI Chatbot

AI Research Assistant

Advanced Agentic RAG system with autonomous decision-making for intelligent document analysis and real-time web search. Features space-themed UI, dual deployment architecture (Ollama + Groq), and sub-3 second response times with 96.8% accuracy in source selection.

Python LangChain LangGraph Groq API Gradio Vector DB
Hybrid ML Phishing Detection System

Hybrid Machine Learning Phishing Detection System

Developed an advanced cybersecurity solution achieving 98.12% accuracy in URL classification using hybrid ensemble methods. Integrated Logistic Regression, Support Vector Classifier, and Decision Tree with Canopy feature selection on 32 URL features from 11,000+ samples.

Python Scikit-learn Django Ensemble Learning Cybersecurity Feature Engineering
Sentiment Analysis of Social Media

Customer Segmentation Analysis for E-Commerce

Conducted customer segmentation using clustering algorithms to identify key purchasing patterns and target groups. Generated actionable insights for personalized marketing strategies and business growth in e-commerce platforms.

Python Scikit-learn Pandas Matplotlib / Seaborn Jupyter Notebook

Education

B.Tech in Computer Science & Engineering

Specialization: Data Science

CMR TECHNICAL CAMPUS

Expected Graduation: 2026

Let's Connect

Let's connect and discuss opportunities in data science and machine learning!