I am Omar Augusto Burgos Núñez, a dedicated data and human resources professional currently advancing my education in Data Engineering and Data Science. With a strong foundation in data analysis, process optimization, and compliance, I have developed a passion for leveraging technical solutions to enhance operational efficiency and employee experience. I am currently pursuing my studies at Universidad del Caribe and expanding my expertise through professional certificates on Coursera and Talento Digital.
Throughout my career, I have contributed to digital transformation initiatives within Human Resources and business controls environments. At Broadway Support Services, I implemented innovative technical solutions to optimize data workflows and streamline HR processes, serving as the primary contact for data-related matters. My role at Scotia GBS involved designing and optimizing data workflows, ensuring compliance with strategic business initiatives, and supporting senior analysts with data validation and reporting.
I have a proven track record in managing operational risks and improving platform compliance, demonstrated during my time as a Moderator at Acquire BPO. There, I documented incident reports, identified systemic risks, and collaborated with cross-functional teams to implement solutions that enhanced service standards and reduced violations.
My technical skills include SQL, Power BI, Python, data visualization, and ERP systems like Odoo, complemented by strong analytical and professional competencies such as risk management, data governance, and strategic decision-making. I am fluent in Spanish and have advanced proficiency in English, enabling me to work effectively in diverse environments.
I am eager to continue growing in data science and analytics roles that allow me to apply my skills in data quality control, process optimization, and compliance to drive meaningful business outcomes. I am committed to continuous learning and professional development to stay at the forefront of technological advancements in my field.
Drove digital transformation within Human Resources by implementing innovative technical solutions to optimize data workflows, streamline processes, and elevate employee experience. Served as the primary point of contact for all data-related matters within the HR department, ensuring seamless cross-departmental communication and alignment on operational goals.
Collaborated with the GBS-DR Business Controls team to design and optimize data workflows, facilitating regular cross-departmental briefings with managers and directors to ensure strict compliance with strategic business initiatives. Implemented and oversaw end-to-end operations management through automated processes, securing data integrity, regulatory compliance, and high operational efficiency across reporting platforms. Provided analytical and operational support to Senior Data Analysts, including comprehensive data validation, testing, and reporting activities. Facilitated Skillbuild creation for the Business Controls department focusing on Global Operations, Fulfillment, and Service Requests (GOFS). Supported Know Your Customer (KYC) Calibration processes and participated actively in New Accounts Training Waves 1 & 2, significantly enhancing compliance and data governance standards across target departments.
Documented and managed detailed incident reports within internal systems, ensuring accurate tracking, data quality control, and resolution of platform violations or user inquiries. Utilized analytical insights to identify systemic operational risks and improve platform compliance processes. Collaborated with cross-functional team members to implement targeted solutions for underlying risk causes, increasing efficiency and reducing platform violations. Resolved complex conflicts between the company and customers by leveraging professional communication and data-driven problem-solving techniques to maintain service standards.
Engineering in Data and Organizational Intelligence
Professional Certificate in Data Engineering
In Progress
Data Science
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