- Time-series forecasting of items, fuel, and store KPIs- Time-Series Anomaly detection for sales/KPIs- Price Optimization for retail items- Consumer Segmentation based on purchase behavior- LLM (GPT/LLama2) integration for analyzing client data- Geospatial analytics- Data engineering and automation in AWS/Python/SQL- Ad hoc data projects.All of these items were developed into automated CI/CD pipelines or APIs and scale with growth.This list will grow as we build new features. It is going to be a bunch of really cool stuff.

- Automated data curation pipeline with Python/SQL. - Data cleaning and analysis. - Data standards and management- Miscellaneous data product development.

Using HTML, CSS, PHP and Wordpress, I take comp designs, created by clients, and turn their concept into a workable, efficient reality on the web.

- ETL. Use of Perl/MySQL to parse and aggregate data received by clients into databases for reporting and analyics. - Report Creation with Jaspersoft Studio/Server

At a company that serves homes, estates, and public buildings all over the world with fine antique reproduction hardware, I am responsible for the oversight of growth through business analytics. My position is to find and call into question areas of inefficiency, and promote the business through sound marketing.

Project Abstract:Using light curves of gamma-ray bursts (GRBs) detected by the Burst And Transient Source Experiment on NASA’s Compton Gamma Ray Observatory, we introduce a new method of self-consistent GRB categorization. We compile a table of ‘similarity distances’ measuring the degree of correlation between any two GRB light curves. We then apply automated data mining tools such as Self-Organizing Maps and decision trees to sort like-GRBs into groups according to their similarity distances. The results give us an additional method for classifying GRB light curves.

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