Actively participated in daily stand-ups and retrospectives, engaging in pair programming sessions to exchange technical knowledge and conduct code reviews, ensuring high-quality standards that improve maintainability and streamline debugging.

Commended by colleagues for outstanding teamwork and technical contributions, fostering inspiration and collaboration.

Identified and categorized performance gaps (Loss Buckets) by implementing robust data-driven metrics, enabling targeted improvements in model responses, leading to a 15% reduction in variances and an increase in the overall reliability of AI outputs.

Executed data annotation and exploratory data analysis (EDA), delivering 98% quality assurance and key actionable insights.

Developed a custom Python and Rails-based web-scraping tool to extract Amazon sales data, automate the generation of Excel reports, and convert the orders into packing slips, significantly improving order processing time and inventory turnover by 40%.

Collaborated with upper management to prototype designs using Figma, ensuring alignment with business goals and user experience, and implemented real-time reporting on sales and inventory using GraphQL, Shopify API, and data analytics.

Utilized data analysis tools for variance analysis and sampling, achieving a 20% reduction in discrepancies in financial statements.

Developed and implemented custom Excel macros through the use of VBA, which significantly automated repetitive audit tasks;

Collaborated with teams across finance, operations, and compliance to prepare and present comprehensive audit reports,

Trained junior staff on key audit procedures, including account reconciliation and in-depth analysis of the general ledger.

Participated in comprehensive internal training to deepen knowledge of audit methods, financial reporting, and tax regulations, with a focus on balance sheet management, profit/loss statement analysis, and enhancing technical accounting skills.