Interactive KPI visualization notebook built with Python & Colab
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Updated
Dec 2, 2025 - Jupyter Notebook
Interactive KPI visualization notebook built with Python & Colab
Tested Python 3.12 Data/BI workflow with CSV data quality, KPI reconciliation, reporting, clean notebooks and cross-platform CI.
⚡ E-commerce Data Engine Processing 10,000+ records with a custom Python pipeline. Includes advanced data imputation and interactive Business KPI dashboards. 📈
In-depth analysis of supply chain data using Python to uncover insights on product performance, inventory, suppliers, logistics, and customer behavior. Built in Jupyter Notebook with pandas, numpy, and plotly for data processing and interactive visualizations.
NYC 311 operations analytics project using the NYC Open Data API. Builds a Postgres pipeline (raw → core → marts) and a Streamlit dashboard to track request volume, backlog, resolution-time SLAs, top complaint types, and agency performance, with notebooks for data pull, cleaning, and insights.
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