🚀 Built a Multi-Touch Attribution

🚀 Built a Multi-Touch Attribution Engine & Dashboard Measuring marketing impact across multi-touch customer journeys is a tough data challenge. I built Vectra Analytics to solve this—a platform that models cross-channel performance using statistical attribution models. Tech Stack: Frontend: Streamlit (dark mode UI) Processing & Viz: Python, Pandas, NumPy, Plotly Database: SQLAlchemy Async (aiosqlite) Data Quality: Pydantic v2 validation Core Features: Flexible Attribution Models: Switch instantly between First/Last Touch, Linear, Time Decay, and Markov Chains. Core Metrics: Tracks Attributed Revenue, Spend, Net Profit, and ROAS. Executive Decision Matrix: Scatter plots mapping Spend vs. Revenue vs. ROAS for fast insights. #Python | #DataEngineering | #Streamlit | #Analytics | #SoftwareEngineering | #DataScience | #GrowthAnalytics