PROFESSIONAL SUMMARY
Results-driven Data & Production Analyst with 5 years of experience in data quality, validation, and performance analysis in a fast-paced global environment. Strong ability to identify data issues, improve processes, and collaborate cross-functionally with international teams. Recognized for accuracy, ownership, and continuous improvement. Seeking to contribute analytical and problem-solving expertise to a forward-thinking organization.
PROFESSIONAL EXPERIENCE
Production Analyst
Datacentric Corporation | 2024 - Present
• Analyzing high-volume, high-risk live sports datasets to ensure data accuracy, consistency, and real-time reliability during peak betting periods, where betting activity and financial stakes are significantly elevated.
• Performing real-time data validation and anomaly detection on live data streams, minimizing financial and operational risks.
• Prioritizing and monitoring critical data cases with elevated financial impact, ensuring 100% compliance with strict service level agreements and quality standards.
• Handling cross-functional data issue investigations with internal teams and external providers to identify root causes and resolve complex data integrity problems.
• Conducting in-depth data profiling, quality scoring, and compliance checks to assess dataset's reliability and client readiness.
• Supporting operational decision-making by evaluating risk levels, match criticality, and data confidence indicators.
• Coordinating resource and capacity planning during peak seasons, holidays, and emergency situations to maintain uninterrupted data operations.
Senior Production Operator
Datacentric Corporation |-----------
• Contributed to data quality assurance efforts by tracking error patterns and supporting reliability score targets during major events.
• Managed and prioritized 30 to 40 live data streams daily, applying risk and criticality assessments to support timely decision-making.
• Analyzed high-volume, real-time sports datasets to ensure accuracy, completeness, and consistency in fast-paced live environments.
• Monitored live data feeds and validated inputs from third-party providers to maintain data integrity across medium- to high-criticality events.
• Assisted the on-boarding and training of new operators, ensuring adherence to data quality standards, tool usage, and operational best practices.
• Detected and escalated data delays, gaps, and anomalies, minimizing downstream impacts on client betting platforms.
Production Operator
Datacentric Corporation |-----------
• Served as an entry level role focused on mastering core production tasks and quality control of live sports data.
• Managed 15 to 25 low criticality matches per day while ensuring accuracy, timeliness, and completeness of data.
• Conducted routine data validation and compliance checks on third-party data sources to maintain clean and consistent reporting.
• Worked closely with tea-----------mbers to monitor live game flows and identified inconsistencies or missing data points for immediate resolution.
• Supported data quality assurance processes that ensured trusted datasets for client betting platforms.