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  • 12:17 (UTC +05:30)

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Hi, I'm Arun πŸ‘‹

Aspiring AI Engineer and Data Scientist with hands-on experience in Python, SQL, Machine Learning, Deep Learning, NLP, LLMs, Power BI, and Data Analytics.

I build AI-powered applications, machine learning solutions, intelligent automation systems, and data-driven dashboards to solve real-world problems and generate actionable insights.


πŸ›  Skills

  • Python
  • SQL
  • Machine Learning
  • Deep Learning
  • Natural Language Processing (NLP)
  • Large Language Models (LLMs)
  • Generative AI
  • Power BI
  • Data Analytics
  • Data Visualization
  • Pandas
  • NumPy
  • Scikit-Learn
  • Git & GitHub

πŸš€ Featured Projects

πŸ€– AI Research Paper Analyzer

  • Gemini LLM powered research paper analysis system
  • Literature review generation
  • Keyword extraction
  • Research gap analysis
  • Question answering system
  • Automated report generation

πŸ“ˆ AI-Driven Commodity Market Intelligence System

  • Commodity price forecasting using AI
  • NLP-based news sentiment analysis
  • Machine Learning and Deep Learning models
  • Market trend prediction
  • Interactive analytics dashboard

🏦 Bank Customer Lifetime Value (CLV) Prediction

  • Customer Lifetime Value (CLV) analysis and prediction
  • Customer segmentation using K-Means Clustering
  • XGBoost-based predictive modeling
  • Deep Learning model for CLV forecasting
  • AI-powered customer retention recommendations using Gemini AI
  • Banking analytics and customer behavior insights

🚚 Predictive Logistics Intelligence System

  • Shipment delay prediction using Machine Learning and Deep Learning
  • Random Forest, SVM, Voting Classifier, and ANN implementation
  • Feature importance analysis for logistics risk identification
  • AI-powered logistics recommendations using Groq LLM
  • Supply chain optimization through predictive analytics
  • End-to-end Data Science workflow including preprocessing, modeling, and evaluation

✈ Airport Performance Dashboard

  • Power BI dashboard for airport analytics
  • Passenger, flight, revenue and delay analysis
  • KPI tracking and visual storytelling
  • DAX measures and data modeling

πŸ’­ Decision Regret Analysis

  • Analysis of expected vs actual outcomes
  • Identification of wrong decisions
  • Risk and regret measurement
  • Python, SQL and Power BI based analytics

🍽 Restaurant Sales Dashboard

  • Revenue and sales trend analysis
  • Customer behavior analytics
  • Product performance insights
  • Dashboard reporting and visualization

🎯 Career Goal

Seeking opportunities as an AI Engineer, Data Scientist, Machine Learning Engineer, Data Analyst, or Python Developer where I can build intelligent systems, develop predictive models, and solve real-world business problems using AI and data.


πŸ“ Tamil Nadu, India

πŸ’» Python | SQL | Machine Learning | Deep Learning | NLP | LLMs | Power BI

πŸš€ Open to AI Engineer, Data Scientist, ML Engineer, Python Developer and Data Analyst opportunities

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  1. AI-Research-Paper-Analyzer AI-Research-Paper-Analyzer Public

    AI-powered Research Paper Analysis System using Gemini LLM for literature review generation, keyword extraction, research gap analysis, question answering, and automated report generation.

    Jupyter Notebook 1

  2. AI-Driven-Commodity-Market-Intelligence-System AI-Driven-Commodity-Market-Intelligence-System Public

    AI-powered commodity price forecasting and market intelligence system using NLP, Machine Learning, Deep Learning, and Gemini LLM for trend analysis, sentiment analysis, and price prediction.

    Jupyter Notebook

  3. Bank-Customer-Lifetime-Value-Prediction Bank-Customer-Lifetime-Value-Prediction Public

    AI-powered Customer Lifetime Value (CLV) Prediction and Customer Segmentation using Machine Learning, Deep Learning, K-Means Clustering, XG Boost, and Generative AI.

    Jupyter Notebook

  4. Smart-Supply-Chain-Intelligence-System Smart-Supply-Chain-Intelligence-System Public

    AI-powered supply chain analytics system that predicts shipment delays using Machine Learning, Deep Learning, and LLM-driven recommendations for logistics optimization.

    Jupyter Notebook

  5. airport-performance-dashboard airport-performance-dashboard Public

    Power BI dashboard analyzing airport and flight performance using CSV-based datasets, covering capacity, flights, passengers, delays, and revenue insights.

  6. decision-regret-analysis decision-regret-analysis Public

    Data analytics project analyzing expected vs actual outcomes, regret calculation, and wrong decision identification using Python, SQL, and Power BI.

    Python