Jorge E Briceño

Led a 3-member team to design and implement scalable, real-time data pipelines using GCP services, feeding dashboards for internal stakeholders across operational departments. Architected and automated data pipelines leveraging Fivetran, Dataform, and dbt Labs, integrating CRM data and local timesheet system into BigQuery, enabling data harmonization, partitioning, and clustering. Collaborated closely with PjMs to prioritize the product backlog.

Coordinated project timelines and deliverables, ensuring that all milestones were met within the four-month timeframe, delivering actionable insights to C-level executives and key stakeholders. Built BI reports to analyze and visualize financial data from SalesForce, providing actionable insights on market sizes, competitor performance, and distributor efficiency. Developed and implemented data pipelines and metrics for Salesforce, transforming and validating health and market data to ensure integration.

Developed and implemented business strategies across South and Central American markets, significantly enhancing market presence and boosting sales revenue by USD 2MM. Led the LATAM team in requirement gathering, system deployment, and QA during the Oracle Fusion CRM migration. Created a database in Access (SQL) that leveraged customer information from the CRM by allowing the sales managers to efficiently allocate time and budget during visits, reducing 5 – 10% of expenses.

Automated processes with MATLAB, Python, and VBA, integrating systems via APIs, and synchronizing signals to deliver accurate and efficient data insights of devices. Responsible for processing and analyzing biomechanical data and creating tailored dashboards using Excel and Python (Pandas and Matplotlib) for clients to facilitate visualization and support data interpretation.s. Implemented a time series forecasting and regression analysis, predicting future stock levels and identifying key factors.

Conducted unit cost analyses for baggage transport systems and spare part suppliers, leveraging data to inform decision-making and support negotiations with manufacturers, increasing 3% of the net profit. Authored technical manuals and trained technical staff on the installation, preventive maintenance, and RCA, standardizing procedures to improve system reliability and operation.

Designed a database using VBA and Microsoft Excel to organize and filter large kinematics gait datasets from the Codamotion capture system. Analyzed and interpreted gait data through videos and graphical outputs, proposing improvements to training protocols and device operation to enhance usability for new users. Co-authored a paper presented at the International Conference on Rehabilitation Robotics (ICORR), highlighting findings and recommendations from the gait pattern analysis.

Certified by the Central Office for Foreign Education (ZAB), Germany: Equal to a degree between a bachelor’s and master's