ARCHIVE.

[ // A collection of data architecture, predictive models, and visualization systems designed for clarity. ]

[01]

ZARA ANALYTICS

Predictive Modeling

Architected a demand forecasting engine using Random Forest. Processed 14M rows of seasonal data to reduce inventory waste by 18% across North American stores.

// Python// Pandas// Scikit-Learn

[02]

TEENAGE ENG.

Supply Chain

Designed a supply chain dashboard tracking component lead times. Identified critical bottlenecks in the OP-1 Field production line using SQL window functions.

// PostgreSQL// dbt// Tableau

[03]

AESOP SKINCARE

Market Analysis

Performed sentiment analysis on 50k customer reviews. Mapped 'Quiet Luxury' keywords to sales spikes, influencing the 2024 digital ad spend strategy.

// R Studio// NLP// GGPlot2

[04]

ACNE STUDIOS

Trend Forecasting

Built a visual trend scraper that aggregates runway colors and fabrics. Used computer vision to quantify 'minimalism' trends for the FW25 procurement team.

// Python// OpenCV// React