Angel Dominguez

Industrial Engineer, passionate about working in the pharmaceutical industry to impact everyone’s lives for the better.

Experience in operational excellence and project management with a systematic and analytical approach to problem-solving and continuous improvement. Proven ability to work in a fast-paced environment.

Experience developing and implementing dashboard reports, analytical modeling, and visualizations to facilitate the monitoring of the business, allowing to quickly identify and act on issues and seize opportunities.

Proactive and organized team player with skills such as Advance Excel, Power BI, Jira, and Agile Methodology.

Operational Excellence Intern

Merck / Madrid

Oct 2022 – Present

• Experience turning data into business insights, creating and implementing dashboard reports, analytical modeling, and visualizations to facilitate the monitoring of the business, allowing to quickly identify and act on issues and seize opportunities.
• Actively contributed to cross-functional teams, collaborating with all site departments to integrate data-driven initiatives and foster a culture of data-driven decision-making.
• Create and Provide OpEx training, communications, and organizational change management on processes and tools. 
• Support the strategic planning process and voice of the customer analysis using tools such as Hoshin Kanri, CTQ and Balance Score Card.
• Developing and improving tools and processes driving efficiency and effectiveness using Power Platform (Power BI, Power Apps, and Power Automate). 
• Understand business needs & proactively develop initiatives related to visualization and automation technology that allow all departments to be fully aware of the critical metrics and performance standards. 
• Assist in identifying key business indicators to enhance the understanding of key business stakeholders business needs by distributing and creating reporting, analysis, visualization, and dashboards while proposing solutions to business concerns.
• Drive root cause analysis (RCA) through all site organizational levels (A3 Problem solving activities, Kaizen Events).
• Establish monitoring mechanisms and KPIs to track the performance of the robotics systems, collecting data on accuracy, efficiency, and other relevant metrics to continuously optimize the processes based on the insights gained to maximize the benefits of robotics implementation.
• Collaborate on driving Lean and Six Sigma initiatives to improve performance and deliver business impact by supporting and coordinating the deployment of the Operational Excellence initiatives.
• Excellent communication at all levels of the organization; this includes written and verbal communication and visualizations.

Project Analyst

BC Consultores

Jul 2020 – Feb 2022

• Support the establishment & development of medium long range strategic plans by Identifying internal and external strategic issues and opportunities.
• Prioritization of multiple tasks from multiple requestors.
• Perform analysis of project requirements. Monitor and control scope, resources, cost, time, risk, and quality against the plan.
• Apply Project management skills, including prioritizing multiple tasks from multiple requestors.
• Develop Sales Dashboard to visualize Sales data, helpful for efficient decision-making and performance analysis.
• Support Clients in developing metrics oriented to identify key performance indicators that support the Sales Force Incentive Schemes.
• Ability to design analytical responses to business questions and manage projects to their completion/ delivery.
• Support DMAIC & Agile projects as a data and analytical consultant, turning data into business insights.

EDUCATION

• Master of Science (MSc) in Pharmaceutical Industry / ESAME Pharmaceutical Business School 2022/2023. 
• Industrial Engineering / Universidad Católica Andrés Bello 2015/2021.

• Power BI for Business Intelligence / Udemy
• Advanced Excel / 365 Data Science
• Project Management Certification / Google
• KPI Professional Certification Program / UCV
• Design and interpretation of Clinical Trials / The Johns Hopkins University