In addition of my duties as Tech Team Lead, as Guild Lead for RPA I also contribute to company knowledge base, technology strategy and talent development at the RPA practice. Among my responsibilities,- Managing and mentoring individuals. - Specialization-related onboarding and adoption of leaded newcomers.- Helping employees in professional growth and career development: career path creation, PDP, education, talent management, etc.- Assisting in conflict resolution and good performance establishment.- Providing regular reports/insights following expectations/agreements/leaded group specifics.- Being a part of employee development path.- Participate in company's strategy for technical solutions and service offering to customers

Managing and Leading multiple Automation and RPA teams for multinational companies within pharma industry:Among my responsibilities:· Work with clients and end users to gather, understand, and define business requirements· Work collaboratively with team members to design a solution that will meet a client’s businessrequirements and fulfill user stories· Collaborate with developers to test and verify that solutions will meet the business requirements· Ensure completion of all project-related artifacts, including functional specifications, technicalspecifications, use cases, and test plans· Participate in key meetings with clients including requirement sessions, system demos, useracceptance testing, and end user training.· Migrating different bots under SOX and GxP compliance.

An instructor of a quantitative finance and algorithmic trading course I'm responsible for:- Curriculum Development: Designing a comprehensive syllabus that covers key topics such as quantitative methods, financial modeling, algorithmic trading strategies, risk management, and market microstructure.- Content Creation: Developing detailed lecture notes, presentations, and course materials. This includes creating problem sets, case studies, and practical exercises that help students apply theoretical concepts.- Programming and Software Tools: Teaching students how to use relevant programming languages (e.g., Python, R, MATLAB) and software tools for quantitative analysis and algorithmic trading. This involves creating coding tutorials and hands-on projects.- Lecturing and Instruction: Delivering engaging lectures and leading classroom discussions. This also includes providing clear explanations of complex concepts and demonstrating practical applications.- Assessment and Evaluation: Designing and grading exams, quizzes, and assignments to evaluate student understanding and progress. Providing constructive feedback to help students improve.- Staying Current: Keeping up-to-date with the latest developments in quantitative finance and algorithmic trading. This involves continuous learning and possibly conducting research to incorporate new insights into the course.- Student Support: Offering office hours, mentoring, and additional support to help students with their coursework and career advice.- Collaboration: Working with other faculty members, industry professionals, and possibly guest lecturers to enhance the course content and provide students with diverse perspectives.

Creator, Instructor and Coordinator of:- Data Science for Business Analyst- Machine Learning for Fianance and Quant Finance- Introduction to GenAI and LLM- Artificial Intelligence forLeaders

Acting as AI Product Manager, I'm responsible of Artificial Intelligence and Data Science core operation of the business and Academy of AI / DS. Main PoC for global expansion for AI Consulting business. Identify AI projects of high business impact including both product-related projects, and research projects. • Collaborate/communicate effectively with product owners representing different product lines. • Prepare an annual roadmap for implementation of different AI projects. • Provide ideas and insights into new business models that could be enabled using AI.• Identifying and validating customer problems and needs that can be solved by AI or ML solutions.• Researching and analyzing the market, competitors, and trends related to AI or ML products.• Developing and prioritizing product requirements, user stories, and acceptance criteria for AI or ML features and functionalities.Communicating and aligning the product vision and goals with the engineering and data science teams, and providing feedback and guidance throughout the development process.

Community Leader for 'Power Platform UG' and 'Microsoft Fabric UG' at Dynamics Communities.Part of the Core Team Organizer of 'Community Summit North America', the largest independent gathering of Microsoft business tool users. Market analyst specialized in data science, artificial intelligence, cloud and cybersecurity with Power BI, Power Apps, Power Automate, Power Agents, Power Pages and Microsoft Fabric.Publisher and editor of blogs, webcast and digital media

Founder of 'Libros de datos enEspañol'Independent self-publishing company specialized in data science and technology for data.

Using Tibco Data Virtualization as main database virtualization tool, I maintain systems and procedures to manage data storage on virtual databases within a diverse ecosystem of repositories, both on-prem and on cloud. Among my main functions: • Developing and implementing standards and processes for data quality and performance• Evaluating and verifying the quality of data from various sources• Creating and maintaining data models and schemas to organize data• Creating reports and dashboards to monitor and communicate system performance• Migrate databases from on-prem to cloudProjects:- Data bases migration from On-Prem to Azure Cloud using PySpark in Synapse- Implementation of data quality, monitoring and alerting on systems using KibanaMain TechnologiesAzure, TDV, Qlick, SQL, Azure Synapse, Fabric, PySpark, Python, Oracle, SalesForce, SQL Server

Data Governance consultant, Data Quality & Assurance practitioner across all data at rest and in transit at the Data Lake using AWS Glue Data Catalog. Implementing PII security measures. Accountable for data quality testing and data governance across all data assets and following compliance and corporate strategy and security best practices.• Data Quality & Assurance plan• Interact with business stakeholders to identify and set data quality standards• Data Governance, Data Integrity and Master Data Management (MDM)• Application of AI / ML to Data Quality• Implementation of Data ObservabilityProjects:- Data Quality & Assurance plan- Real time data monitoring dashboardingMain Technologies:Python, SQL, AWS S3, AWS Glue Data Catalog, Graphana, Kibana, Great Expectations, SAP Information Steward, Power BI; among many others

Project Manager and Scrum Master for Bio-Pharma company UCB. Responsible of maintaining and organizing all resources to implement 2 Artificial Intelligence and Data Science projects under IT AI Go-to-Market team in 2 countries (Japan and Spain). • Project documentation from end-to-end, from inception to delivery of the product solution.• Collaborate/communicate effectively with product owners and manage multiple stakeholders.• Prepare an annual roadmap 2023 for implementation of different AI projects.

Machine Learning EngineerAs part of the Digital Transformation Core Team for Dell Contact Center Operations, my main duties are: Reporting automation (from manual to automated) and Robotics Process Automation (RPA) for all kind of operational and financial reporting (structured and unstructured data). Artificial Intelligence developer for Customer Service, Voice and Marketing Data Audit / Validation and Machine Learning App Product Manager. BI Developer, ETL and setting up business rules for all Contact Centers at Dell, monitoring all customer contact (phone, email, chat and social media). Customer Profiling and Sentiment Analysis. Data Science R&D and implementation of predictive analytics to increase productivity and efficiency. Owner of 'Dell Data Science Academy' for employees. Demand Forecast analysis and Head Count capacity forecast developing Machine Learning models. Formulates conclusions and provides summary analysis and interpretation for leadership with global exposure.

Machine Learning EngineerAs part of the Digital Transformation Core Team for Dell Contact Center Operations, my main duties are: Reporting automation (from manual to automated) and Robotics Process Automation (RPA) for all kind of operational and financial reporting (structured and unstructured data). Artificial Intelligence developer for Customer Service, Voice and Marketing Data Audit / Validation and Machine Learning App Product Manager. BI Developer, ETL and setting up business rules for all Contact Centers at Dell, monitoring all customer contact (phone, email, chat and social media). Customer Profiling and Sentiment Analysis. Data Science R&D and implementation of predictive analytics to increase productivity and efficiency. Owner of 'Dell Data Science Academy' for employees. Demand Forecast analysis and Head Count capacity forecast developing Machine Learning models. Formulates conclusions and provides summary analysis and interpretation for leadership with global exposure.

Project Manager for multiple Data Warehouse, Data Mining and Business Intelligence initiatives across multiple organizations such as Marketing and Business Operations, within worldwide scope. Responsible for supporting the implementation and maintenance of reports and dashboards using Oracle Business Intelligence Enterprise Edition / Statistica / MS PowerBI / Qlikview / Tableau / Pentaho. Providing business insights and defining strategy for Marketing and Operations, acting as the interface to the IS reporting team, operational and financial data analysis and work with others to identify and analyze performance measures for the Support department. Develop customized dashboards and create custom reports. Designs and builds Queries, Reports, and Dashboards using established frameworks and standards. Trains team on administration reporting tools, metric development, and advanced toolset capabilities. Data Warehouses, Datamart, OLAP / OLTP, Op Data Sources.

Responsible for internal audit and risk assessment of company’s processes in place to facilitate regulatory compliance.Main duties:- Responsible for internal audit and risk assessment of company’s operational processes which facilitate compliance with key global regulations, e.g., Anti-Bribery & Corruption, Trade Compliance, Data Protection & Privacy, Anti-trust/Competition, Third Parties. - Provide input and Design audit roadmap development and prepare independent audit plans.- Define the activities for review based on risk, compliance requirements, contractual obligations, and policies and procedures as well as partner closely with Legal/Ethics, Human Resources, Marketing, Global Operations, Sales and other key stakeholders.- Lead scope areas for audits/reviews performed onsite and remotely for both internal Dell and third-party processes and locations. - Support audit manager in reporting audit results to executive leadership and audit committee and make recommendations for implementing and/or enhancing controls where appropriate; support audit manager in providing guidance and coaching to junior team members.

Multiple financial and auditing roles in several companies with world-wide operations.Decided to change careers as Finance was not providing me anything new or challenging, as I had exposure to multiple activities and duties. Just to mention the most relevant roles:- Head of Audit & Financial Controller @ SCG Plc (2013 - 2014)- Chief Financial Officer @ PIA GROUP LLC, (2009 – 2013)- Operations Director @ NOVA CAPITAL PARTNERS (2006-2009)- Stock Exchange @ FINANCIAL PACIFIC (2004-2006)- International Tax Consultant @ SUN FINANCIAL CONSULTING (2000 - 2004)- Chartered Accountant @ WORLD VACATION GROUP (1998 - 2000)