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ruchira559/README.md

💫 About Me:

🛠 Currently Working On

  • GenAI Reporting Engine: Developing an automated system that uses LLMs to summarize key insights from SQL databases and injects them directly into PowerBI dashboards.
  • Insight Automation: Building the bridge between "raw numbers" and "narrative summaries" using Python and OpenAI/Anthropic APIs.

🤝 I’m Looking to Collaborate On

  • LLM Orchestration: Open-source projects involving LangChain, AutoGPT, or custom agentic workflows.
  • Advanced Data Storytelling: Pushing the boundaries of how data is visualized and communicated.

🆘 I’m Looking for Help With

  • Cloud Scaling: Best practices for scaling Python-based ETL pipelines in AWS or Azure environments.
  • DAX Mastery: Tackling complex, high-performance DAX measures for enterprise-level PowerBI.

🧠 Currently Learning

  • Specialized AI Agents: Fine-tuning agents for predictive analytics and forecasting.
  • PyScript: Exploring native Python execution in the browser for lightweight data tools.

💬 Ask Me About

  • SQL Optimization: Making queries lean, mean, and lightning-fast.
  • Interactive Visuals: Building dashboards that tell a story rather than just showing charts.
  • The Excel Killer: How I replace tedious, multi-hour Excel workflows with 10 lines of Python.

⚡ Fun Fact

  • I have a deep-seated love-hate relationship with files named Sheet1 (Final) v2.xlsx. My personal mission is to automate every manual spreadsheet into oblivion to keep my folders—and my mind—clean!

🌐 Socials:

Discord LinkedIn email

💻 Tech Stack:

Python Google Cloud Firebase AWS Anaconda MySQL MicrosoftSQLServer FastAPI HTML5 FastAPI Flask Insomnia JWT OpenCV MongoDB Postgres Adobe Acrobat Reader Adobe Lightroom Canva Matplotlib NumPy Pandas scikit-learn TensorFlow GitHub Actions Git GitHub Selenium Confluence Kubernetes Power Bi Postman

📊 GitHub Stats:



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  1. E-Commerce-Sales-Operations-Analysis E-Commerce-Sales-Operations-Analysis Public

    End-to-end e-commerce data analysis using Python and Power BI. Features data cleaning, Star Schema modeling, and an interactive dashboard to optimize revenue, reduce cancellations, and track fulfil…

    Jupyter Notebook

  2. ruchira559 ruchira559 Public

  3. chat-with-pdf chat-with-pdf Public

    A RAG-based LLM application allowing users to chat with PDF documents using Groq and LangChain.

    Jupyter Notebook

  4. financial-sentiment-linker financial-sentiment-linker Public

    End-to-end NLP pipeline for financial news sentiment analysis using FinBERT and spaCy Transformer NER. Features real-time data scraping and interactive Plotly dashboards.

    Jupyter Notebook