🎯 1.5+ Years Experience • 🚀 20+ DS Projects • 📊 Business Analytics

Experienced Data Scientist with 1.5+ years in building production-ready ML systems, RAG applications, and computer vision solutions. Proven track record of delivering 90%+ accuracy models and automated document-processing pipelines that solve real business problems.

🔥 Key Highlights:

• ✅ IBM Data Analyst Professional Certificate (11 courses completed)
• ✅ 20+ End-to-End Data Science Projects from concept to deployed and production-ready
• ✅ Production-Ready AI Applications: RAG systems, Computer Vision, ML models
• ✅ Business Impact Projects: Revenue prediction, sentiment analysis, recommendation systems
• ✅ Technical Skills: Python, SQL, Power BI, Machine Learning, RAG

Advanced Retrieval-Augmented Generation for Document Intelligence

• 🔥 AI-powered document Q&A system with LangChain & HuggingFace integration
• 🎯 Context-aware responses using PDF processing & vector embeddings
• 🚀 Memory-enhanced conversations with FAISS vector database
• 💼 Use Cases: Document analysis, automated Q&A, information retrieval
• Tech Stack: Python LangChain FAISS HuggingFace Streamlit RAG NLP
• 🔗 View Project

Real-time Visual Intelligence Application

• 🎯 Multi-object detection with bounding boxes and confidence scores
• 🚀 Interactive web interface for image analysis
• 💡 Pre-trained model integration for accurate recognition
• Tech Stack: Python OpenCV Computer Vision Deep Learning Streamlit
• 🔗 View Project

NLP-Based Sentiment Analysis Tool

• 🧠 Text emotion detection using TF-IDF vectorization & Random Forest
• 🎯 Multi-class classification: Happy, Sad, Angry, Fear, Surprise
• 🚀 Real-time analysis with confidence scoring
• Performance: 80%+ classification accuracy
• Tech Stack: Python NLP TF-IDF Machine Learning Scikit-Learn
• 🔗 View Project

Machine Learning Cricket Analytics

• 🎯 Match outcome prediction using team statistics
• 🚀 Live data integration for real-time predictions
• 💡 Interactive web app with user-friendly interface
• Tech Stack: Python Machine Learning Cricket Analytics Streamlit
• 🔗 View Project

Content-Based Filtering with API Integration

• 🔥 Intelligent recommendations using cosine similarity
• 🎯 Real-time movie data via OMDB API
• 🚀 Personalized suggestions based on user preferences
• Tech Stack: Python NLP TF-IDF API Integration Streamlit
• 🔗 View Project

Collaborative Filtering for Personalized Suggestions

• 🧠 Advanced filtering algorithms with user-item matrices
• 🎯 Popularity-based recommendations for new users
• 🚀 Similarity-based matching using cosine similarity
• Tech Stack: Python Machine Learning Collaborative Filtering Streamlit
• 🔗 View Project

ML-Powered Business Forecasting

• 🎯 Daily revenue prediction using regression algorithms
• 🚀 Seasonal analysis with day-of-week patterns
• 💼 Business Intelligence: Operations optimization, planning support
• Tech Stack: Python Machine Learning Regression Streamlit
• 🔗 View Project

Healthcare Analytics Application

• 🧠 Risk assessment model for early detection
• 🎯 Patient data analysis with ML algorithms
• 🚀 Interactive health tool for awareness and prevention
• Tech Stack: Python Machine Learning Healthcare Analytics Streamlit
• 🔗 View Project

Financial Market Analysis Tool

• 📈 Price prediction model using historical data
• 🎯 Market trend analysis with machine learning
• 🚀 Interactive interface with Gradio framework
• Tech Stack: Python Machine Learning Financial Analysis Gradio
• 🔗 View Project

Business Intelligence Solutions

• 📊 Data Professional Survey Dashboard: 500+ professionals career insights
• 🛒 E-commerce Sales Analytics: Performance metrics & trends
• 🏥 Healthcare Analytics Dashboard: Patient demographics analysis
• 🛍️ Blinkit Grocery Analytics: Delivery app performance dashboard
• 👥 Employee Attrition Analysis: HR analytics with retention insights
• Tech Stack: Power BI DAX Excel Data Modeling

Python-Powered EDA & Insights

• 🚗 US Traffic Accidents Analysis (2016-2023): Pattern analysis & visualization
• 🏠 NYC Airbnb Market Analysis: Pricing insights & geographic distribution
• 📉 Global Layoffs SQL Analysis (2020-2023): Company trends & impact
• 📺 YouTube Analytics Dashboard: Channel performance metrics
• Tech Stack: Python Pandas SQL Data Visualization EDA

Data Validation & Processing System

• 🎯 Comprehensive validation using SQL and Python
• 🚀 Data cleaning pipeline for identity verification
• 💡 Database integration for large-scale processing
• Tech Stack: Python SQL Data Validation Database Management
• 🔗 View Project

Interactive Data Exploration Tool

• 🎯 CSV data visualization with beautiful charts
• 🚀 Interactive web interface for data exploration
• 💡 Multiple chart types for comprehensive analysis
• Tech Stack: Python Data Visualization Streamlit Plotly
• 🔗 View Project

Computer Vision Application

• 🎯 Facial expression recognition using logistic regression
• 🚀 Real-time image processing with OpenCV
• 💡 Interactive web application for emotion detection
• Tech Stack: Python Computer Vision Machine Learning Streamlit
• 🔗 View Project

🎓 Academic Background

• B.Tech Mechanical Engineering - Kalasalingam Academy of Research and Education | 2019-2023

📜 Professional Certifications

• IBM Data Analyst Professional Certificate (June 2025) - 11 Courses Completed
  • Introduction to Data Analytics, Excel Basics, Python for Data Science
  • Data Visualization, SQL for Data Science, Data Analysis with Python
  • IBM Data Analyst Capstone Project, Career Guide & Interview Preparation
• Python for Beginners & Non-Programmers - Advanced Programming Skills
• SQL Basic & Intermediate - Database Management & Query Optimization

🎯 Currently Seeking:

• Junior Data Scientist | Data Analyst positions
• Business Intelligence Analyst | ML Engineer (Entry-Level) roles
• Data Science Intern | Analytics Associate opportunities

💡 Interested in projects involving:

• Enterprise AI Solutions | RAG Systems | Computer Vision
• Predictive Analytics | Recommendation Systems | NLP Applications

• 🧠 Advanced AI Research: Exploring Large Language Models & Generative AI
• 🏆 Competitive ML: Active participation in Kaggle competitions
• 🔧 MLOps Excellence: Building end-to-end ML pipelines with monitoring
• 🌐 Cloud Architecture: Scaling AI solutions on AWS/Azure platforms
• 🤝 Industry Collaboration: Open for innovative AI/ML partnerships
• 💼 Career Growth: Seeking Data Scientist & ML Engineer roles

• 🔥 Project-Ready: 20+ complete projects from data collection to deployment
• 🧠 Problem Solver: Experience in diverse domains (finance, healthcare, e-commerce)
• 📊 Business-Focused: Understanding of how data science drives business decisions
• 🚀 Quick Learner: Self-taught modern tools and technologies
• 💡 Initiative Taker: Built portfolio projects with formal work experience
• 🤝 Team Player: Ready to contribute to collaborative data science teams

💡 "Transforming complex data into intelligent solutions that drive business success"