ALBERT OVIE

• Analyzed and sorted customer service data using proprietary AI models by intervening and consolidating service logs and dialogues.
• Lessened data annotation errors by nearly 15% by utilizing a series of quality control protocols and compared deviated values to the original.
• Teamed up with customer support and established the "correct" client tags for newly raised tickets via Dispatch’r to ensure tailored responses being as accurate as possible.
• Revamped the workflow of data annotation through a restructuring strategy, which henceforth optimized the re-processing of new datasets.

• Produced the reports, which were strictly based on numbers and graphics created in Excel and Tableau, to monitor ad performance and improve digital content.
• Analyzed user engagement and gaming performance metrics to inform content strategy, leading to an approximate 20% increase in audience retention.
• Worked with the design team to add notes and labels to data used in machine learning projects for the sole purpose of being able to forecast user behavior.
• Handled comparative testing and market segmentation analysis to refine marketing strategies and improve user engagement.
• Conducted thorough data quality controls and established automatic processes for validation, thus assuring the accuracy of the key success indicators.

• Partnered with the software developers for the validation of technical data, and as a result, decreased documentation errors by at least 20%
• Introduced a definite process for technical data review, thus, more quality and consistency were applied to subsequent reports.
• Had a close collaboration with web developers in order to understand the intricacies of the technical details that were then translated into simpler formats for non-tech clients to comprehend.
• Assessed and controlled the sorting of company/client documents so that needed information became systematically accessible and hassle-free.

• Built visualizations and data-driven reports using Tableau & Excel, and observed the progress of the campaigns and the improvement process of the company’s digital content.
• Based on my proficiency in digital ad operations, I manufactured a well-working data collection and evaluation system for the brand marketing team.
• Asides creating static reports, I used SQL, Python, and Excel to create interactive dashboards for monitoring KPI metrics, which resulted in approximately 25% higher campaign efficiency.
• Joined part of a team that molded abstract data into more info-rich reports that were the main impacts of the company’s post-COVID undertakings.

Recognized for innovative approaches and significant advancements in data analytics methodologies.

Awarded for exceptional contributions and excellence in data-related initiatives.