Projects | CincyLogic

Featured Power BI Projects

Healthcare Analytics Dashboard

A comprehensive Power BI dashboard analyzing healthcare data with advanced visualizations and interactive insights. This project demonstrates sophisticated data modeling, DAX calculations, and user-friendly dashboard design for healthcare analytics.

Key Features:

Interactive Visualizations: Dynamic charts and graphs for data exploration
Advanced Analytics: Complex DAX calculations and measures
User-Friendly Design: Intuitive navigation and clear data presentation
Comprehensive Reporting: Multi-page dashboard with detailed insights
Export Capabilities: PDF export functionality for sharing

Project Documentation:

📊 View Power BI Report (PDF) | 📋 Download Walkthrough Guide | 📝 Download Design Considerations

Tech Stack:

Microsoft Power BI, DAX, Power Query, Advanced Data Modeling

Interested in healthcare analytics solutions?

Contact us for a consultation or custom healthcare dashboard!

AI-Powered Fraud Detection System

An advanced machine learning system for detecting fraudulent transactions and patterns in financial data. This interactive Streamlit application demonstrates real-time fraud detection capabilities using state-of-the-art AI algorithms and data visualization techniques.

Features:

Real-time Analysis: Upload and analyze transaction data instantly
Machine Learning Models: Multiple algorithms for comprehensive fraud detection
Interactive Visualizations: Dynamic charts and graphs for data exploration
Risk Scoring: Probability-based fraud risk assessment
Export Capabilities: Download results and reports

Try the Application:

🚀 Launch Fraud Detection App

Experience our AI-powered fraud detection system with interactive visualizations and real-time analysis

🔍 Open Fraud Detection App

Opens in a new tab for the best experience

Tech Stack:

Python, Streamlit, Scikit-learn, Pandas, Plotly, NumPy

Interested in implementing fraud detection for your business?

Contact us for a consultation or custom solution!

FDA CRL AI Analysis Pipeline

An end-to-end, AI-powered tool for extracting, structuring, and analyzing FDA Complete Response Letters (CRLs). This project combines PDF text extraction, GPT-based structuring, FDA NDC Directory enrichment, and automated data visualization to deliver actionable insights from regulatory documents.

How it works:

PDF to Text: Extracts text from CRL PDFs.
AI Structuring: Uses GPT to extract key fields and summarize deficiencies.
NDC Enrichment: Cross-references drug names with the FDA NDC Directory.
Automated Analysis: Generates summary statistics and visualizations.

Sample Results:

CRLs per Year

Common Themes in Deficiencies (Word Cloud)

Download PDF | Download AI Enriched Data

Tech Stack:

Python, OpenAI GPT, Pandas, Matplotlib, WordCloud, FDA NDC API

Want to see this in action on your regulatory documents?

Contact us for a demo or collaboration!