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Rahul-Ratusaria/README.md

Rahul Ratusaria | Data Analytics & Applied AI

Data Analyst · Business Intelligence · Applied AI Builder

I turn complex datasets into actionable insights, automate repetitive workflows, and build practical AI-powered tools.

GitHub Portfolio Projects

👋 About me

I'm a Data Analyst with experience in business intelligence, analytics automation, and stakeholder-focused problem solving. My work spans SQL/Python analysis, interactive dashboards, survey and operational data, and developing workflows that help teams act on insights faster.

Beyond my core analytics work, I explore Generative AI, NLP, RAG and agentic workflows to make analysis and reporting more scalable. I'm particularly interested in bridging the gap between technical implementation and real-world business decisions.

  • 📊 Analytics: KPI frameworks, data quality, segmentation, business insights and executive reporting
  • ⚙️ Automation: Python-based data processing, repeatable reporting and workflow improvements
  • 🤖 Applied AI: LLM-powered insight generation, document analysis, NLP and LangGraph
  • 🎯 Approach: Define the business problem → validate data → analyze → communicate → operationalize

🧭 What I work on

Area Focus
📈 Business & Product Analytics KPI design, trend analysis, segmentation, root-cause analysis and decision support
🗃️ Business Intelligence Power BI, Excel, dashboard design, stakeholder reporting and data storytelling
🐍 Data Engineering & Automation Python, SQL, pandas, data quality checks, process automation and reporting pipelines
🧠 Machine Learning & NLP Classification, text analysis, model evaluation and practical ML workflows
✨ Generative & Agentic AI RAG, prompt workflows, LangGraph, LLM-assisted analysis and insight generation

🛠️ Tech stack

Analytics & Engineering

Skills

Machine Learning & AI

Skills

Core tools and frameworks

Power BI Excel Pandas Streamlit LangGraph RAG NLP

🚀 Selected projects

🔎 LLM-Powered Business Insight Generator

A LangGraph-based workflow to transform uploaded business reports into concise, decision-oriented summaries, analytical observations and next-step recommendations.

Focus: LangGraph · LLMs · Report analysis · Automated insight generation

Explore repository ↗

🛒 E-commerce Analytics with Microsoft Fabric

An end-to-end analytics project using the Olist Brazilian e-commerce dataset to explore business performance through a Fabric Lakehouse and Power BI reporting workflow.

Focus: Microsoft Fabric · Lakehouse · Power BI · E-commerce KPIs

Explore repository ↗

💼 Productivity Dashboard

An interactive Streamlit tool to track tasks, monitor progress and organize personal reflections in one workspace.

Focus: Python · Streamlit · Interactive dashboards

Explore repository ↗

🏋️ AI Gym Helper

A practical fitness-focused project exploring how interactive tools can support workout guidance and training workflows.

Focus: Applied AI · Fitness technology · User-focused product design

Explore repository ↗

🔬 Currently exploring

  • Agentic workflows that combine data analysis with LLM reasoning
  • RAG quality, grounding and document intelligence
  • AI-assisted executive reporting and business decision support
  • Evaluation, observability and reliable deployment of AI applications

📊 GitHub activity

GitHub activity statistics Most used languages GitHub contribution streak

GitHub cards are generated by third-party services and may occasionally be unavailable. GitHub's native contribution calendar is visible below this README on the profile page.

🤝 Let's connect

I'm interested in Data Analyst, Business Analyst, Business Intelligence, Product Analytics and Applied AI opportunities that combine analytical rigor, business context and meaningful implementation.

Browse my work: github.com/Rahul-Ratusaria
Portfolio: rahul-ratusaria.github.io


Data → Insights → Decisions → Impact

Pinned Loading

  1. fabric-olist-ecommerce-analytics fabric-olist-ecommerce-analytics Public

    End-to-end Microsoft Fabric Lakehouse and Power BI analytics project using the Olist Brazilian E-Commerce dataset.

    Jupyter Notebook 1

  2. productivity-dashboard productivity-dashboard Public

    A Streamlit dashboard for tracking daily tasks, monthly progress, and personal reflections.

    Python