Bruno Dreyfus has a diverse work experience across multiple companies and roles. Bruno started their career in 2009 as a Marketing-Sales Assistant at HELM AG, where they conducted market studies and assisted in sales activities. In 2010, they worked as a Key Account Manager and Quality Assistant at Bonduelle, where they managed sales and quality-related tasks in France and the UK. From 2013 to 2017, Bruno worked as a Data Engineer and Data Analyst at CHD Expert, handling data processes and analysis for the foodservice industry. Bruno then joined Marfeel in 2017 as a Business Developer, focusing on sales strategies and technology demonstrations. Next, at Vueling Airlines, from 2017 to 2020, Bruno served as a Data Engineer and Senior Analyst Revenue Management Systems, working on data automation and analysis for the Revenue Management Department. Bruno later joined Aktana in 2020 as a Solution Architect and Delivery Engineer, responsible for customer implementations and technical solutions. Bruno then briefly worked at Databricks as a Customer Success Engineer in 2022. Currently, they are employed at MANGO as a Data Analytics Manager - Operations, leading a team of analysts and overseeing data operations. Additionally, starting in 2023, Bruno will be working as a Data Engineer at Taxdoo.
Bruno Dreyfus has a diverse education history with a focus on international business, finance, and computer science. Bruno participated in an exchange program at the University of Chicago where they studied computer science. Bruno also attended ESCE International Business School, where they obtained a Master of International Business degree with a specialization in international business and finance. Additionally, Bruno completed an exchange program at Kansai Gaidai University, focusing on Asian studies within the context of international business. At Jönköping University, Bruno participated in another exchange program, focusing on business administration and management.
In addition to their formal education, Bruno has also obtained various certifications. These include Azure Spark Databricks Essential Training, Android Development Essential Training: 1 Your First App, Big Data Analytics with Hadoop and Apache Spark, Data Ingestion with Python, Writing in Plain English, Using SQL with Python, Introduction to Machine Learning with KNIME, Blockchain Basics, Blockchain: Beyond the Basics, Introduction to Digital Twins, AI in Fintech Essential Training, Architecting Big Data Applications: Batch Mode Application Engineering, Architecting Big Data Applications: Real-Time Application Engineering, NLP with Python for Machine Learning Essential Training, Recession-Proof Career Strategies, Spark for Machine Learning & AI, Using Python for Automation, Working with Difficult People, Data Science Tools of the Trade: First Steps, and Introducing Jupyter. These certifications cover a range of topics including data science, artificial intelligence, blockchain, and business communication.
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