Python Developer

Defined and monitored product metrics to measure feature success across social commerce initiatives. Designed and optimized big data pipelines using Presto SQL, reducing reporting lag by 50% and improving data accuracy for large-scale datasets. Built actionable reports using Google Sheets and Google Data Studio for cross-border teams. Built Google Data Studio dashboards to track user behavior, engagement funnels, and experiment performance for cross-border teams. Led deep-dive investigations into social product KPIs to uncover bottlenecks and user behavior patterns. Partnered with Product, Engineering, and Operations teams to translate data insights into business actions and prioritized development efforts.

Automated monthly reporting using Python scripts, saving over 10+ hours/week. Built and maintained Power BI dashboards for logistics and supply chain metrics, ensuring data accuracy across multiple regions. Coordinated with internal and external stakeholders to manage shared data repositories via SharePoint. Collaborated with internal and external stakeholders to align KPIs and reporting standards, improving cross-functional visibility and decision-making.

Developed NLP model using TensorFlow for text classification with 99% accuracy. Built ETL pipelines to process model inputs and visualize results for stakeholders. Led a team of 4 developers in an agile, remote-first environment, ensuring on-time delivery of the project.