Greater Sacramento
* Analyzed inventory and historical distribution data using pivot tables and spreadsheets to identify trends and support demand forecasting * Developed Python workflows to evaluate purchasing patterns and optimize inventory and mailing operations * Cleaned and standardized datasets to improve data accuracy, enabling efficient reporting and streamlined label and material generation * Built visualizations and projections to forecast mailing volume, supporting data-driven planning and daily task prioritization
* Diagnosed and installed hardware components (e.g., batteries, logic boards) with a 98% success rate * Documented daily service tasks for an average of 10 customers per day, improving workflow efficiency by 25% * Completed over 50+ computer teardowns of recycled systems, enabling reuse of viable parts and reducing e-waste by 25% * Digitized customer reciepts, integrating transactions into the online shop database to improve record accessibility * Updated the store floor for seasonal sales (e.g., summer iMac promotions), increasing foot traffic and sales by 15%
* Collected and maintained structured data on daily services, commissions, and revenue splits to support performance tracking and income projections * Analyzed inventory usage patterns to inform restocking decisions and maintain consistent supply levels * Leveraged customer interaction data to identify preferences and enhance service personalization and retention
* Digitized and structured 1000+ of paper records into a centralized database, improving data accessibility and enabling efficient analysis for research initiatives. * Cleaned and standardized datasets in Excel to ensure data integrity, consistency, and usability across multiple research projects * Collaborated with faculty and research teams to manage and organize large datasets, supporting ongoing data collection and analysis efforts * Developed summary reports and data-driven insights to support evaluation and decision-making for the Diversity Project