AI Data Analyst | Power BI & Python | Automated Reports
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AI Data Analyst | Power BI & Python | Automated Reports
Built something I'm pretty proud of — Data Detective
An AI-powered anomaly investigation tool that turns dry data analysis into a noir detective case.
Under the hood:
→ Claude + 14 custom MCP tools
→ Isolation Forest for anomaly detection
→ Pearson correlation analysis
→ Results presented as an actual investigation report
No spreadsheets. No jargon. Just: "The suspect is outlier #47. Here's the evidence."
Live here → [https://claude.ai/public/artifacts/f8117dff-b531-4f31-8862-2a86a77137c2]
Full MCP server → https://github.com/Varu4/prodata-ai-mcp
#contralabs #AI #dataanalysis
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ProData AI — Automated Data Science Platform
Built ProData AI, an automated data science platform developed entirely with Streamlit.
It is designed to help users transform raw datasets into actionable business insights in seconds.
🚀 What it does
One-Click Mode
Upload any CSV or Excel file and the full pipeline runs automatically in under 30 seconds:
Data cleaning & preprocessing
AutoML (6 models trained simultaneously)
30-day forecasting using Prophet
Business driver analysis with Explainable AI (XAI)
AI-generated insights using Anthropic Claude
PDF report generation
Manual Mode
Provides full control over each stage of the data science workflow for advanced users.
🛠 Tech Stack
Streamlit — complete UI and app framework
scikit-learn — AutoML pipeline
Prophet — time-series forecasting
Anthropic Claude API — AI insights & chat
Plotly — interactive visualizations
fpdf2 — PDF report generation
Ideal for:
business analysts
startups
small businesses
automated reporting workflows
freelance analytics projects
Open to freelance collaborations and custom dashboard / AI reporting solutions.
📊 Customer Churn Analysis Dashboard | Power BI Project
Designed and developed an interactive Power BI dashboard to analyze customer churn for a banking dataset with over 9,900 customers.
The primary objective was to identify key patterns and factors influencing customer attrition and deliver actionable insights to support effective retention strategies.
🔍 Key Features:
Visualization of critical KPIs such as churn rate, account balance, and activity status
Customer segmentation based on demographics and behavior
Interactive filters for detailed comparison and analysis
Clear insights into high-risk customer groups
📈 Impact:
This project enhanced understanding of customer behavior and empowered stakeholders to make data-driven decisions to reduce churn and improve customer engagement.
Tools Used: Power BI, DAX,Data Visualization