Manuel De Francisco Vera
About Manuel De Francisco Vera
Manuel De Francisco Vera serves as the Sr. Director of Data Science & Analytics at Vinted, bringing extensive experience in data analytics and digital advertising. He has held various leadership roles in notable companies, including eBay, Adevinta, and Elsevier, and possesses strong technical skills in big data technologies and machine learning.
Current Role at Vinted
Manuel De Francisco Vera serves as the Sr. Director of Data Science & Analytics at Vinted, a position he has held since 2022. In this role, he oversees data science initiatives and analytics strategies, contributing to the company's growth and data-driven decision-making processes. His leadership is instrumental in enhancing Vinted's data capabilities and ensuring effective utilization of analytics across the organization.
Previous Experience in Data Analytics
Prior to his current role, Manuel held several significant positions in data analytics. He worked at eBay as Head of Global Analytics from 2020 to 2022, and at Adevinta as Head of Global Analytics from 2021 to 2022. His experience also includes serving as Director of Product Analytics at Elsevier from 2018 to 2020, and as Head of Big Data & Analytics at Bookerzzz from 2016 to 2018. These roles provided him with extensive expertise in managing analytics teams and driving data strategies.
Educational Background and Qualifications
Manuel has a strong educational background in mathematics, statistics, and data science. He earned a Master's degree in Statistical Learning and Data Mining from Universidad Nacional de Educación a Distancia - U.N.E.D. from 2010 to 2011. Additionally, he completed various online courses through Coursera, including Data Analysis from Johns Hopkins University, Machine Learning from Stanford University, and Introduction to Data Science from the University of Washington.
Technical Skills and Expertise
Manuel possesses a robust skill set in data science and analytics. He has hands-on experience with big data technologies such as Hadoop, Hive, Pig, and Spark. His proficiency extends to cloud platforms like Azure and AWS, and he is skilled in programming languages including Python and R. Additionally, he utilizes SQL databases and advanced analytical techniques, including text mining and web mining, to support market research and business intelligence.
Methodologies and Tools
In his professional practice, Manuel employs agile methodologies, particularly Scrum, for project management and product ownership in data science initiatives. He is also skilled in using data visualization tools such as Tableau and Power BI, which aid in presenting complex data insights effectively. His expertise in machine learning and deep learning, including the use of frameworks like TensorFlow, further enhances his analytical capabilities.