Neo Phan

In my capacity as a Cloud Data Engineer, I led innovation within the IMME education platform by leveraging advanced and cutting-edge technologies. Employing tools such as the Data Intelligence platform (e.g., Databricks) and Generative AI (e.g., AWS Bedrock), alongside cloud storage and computing solutions, I drove transformative advancements. Furthermore, I applied advanced skills in data engineering to optimize data processing and analysis workflows, thereby enhancing the efficiency and effectiveness of our data and AI-driven solutions.

Engineered scalable data infrastructure for educational solutions, optimizing processing efficiency and improving operational agility. Orchestrated agile data pipelines, enabling seamless data flow and facilitating rapid insights delivery for continuous innovation. Integrated advanced analytics tools, enhancing data governance and empowering stakeholders with actionable insights for informed decision-making. Collaborated cross-functionally to drive ML/AI initiatives, leveraging data-driven strategies to enhance business outcomes. Implemented real-time data processing capabilities, enabling timely insights generation and fostering a dynamic data ecosystem.

In the heart of Project InnoLand, I led the creation of a real-time ride-sharing application to transform tourism in Phu Quoc Island in Vietnam. Through innovative ETL pipelines, I harnessed the power of Kafka and Spark to generate insightful reports for data-driven decision-making. I ensured seamless data operations, data integrations while data cloud advanced technology empowered our infrastructure for future growth in both on-premise and hybrid cloud environments. Together, we shaped a narrative of innovation and progress, leaving an indelible mark on the landscape of big data and cloud technology.

I assist the Data Science Team (RhéoStat) of group Orange by implementing automated and reliable data pipelines. Additionally, I review code and offer technical support to enhance team performance. Optimizing the Data stack's quality and efficiency is a priority, reducing both time and costs. Continuous planning is established, covering development, testing, release, deployment, and monitoring to ensure HR data is delivered effectively and productively.

Lecturer ERP, BI, and Data Mining at KEDGEBS and SupDeCo including PGE5, Master 2, and MBA Digital Marketing programs. ▫ Delivered courses on SAP ERP, BI, and Data Mining as part of the curriculum. ▫ Ambassador for RapidMiner, specializing in Fully Automated Data Science and Predictive Analytics for Business.

▫ Managed the Financial Report Project for La Poste Group's IFRS 9 compliance, optimizing existing applications with SQL for P/L, and automating deployment. ▫ Integrated new financial data flows using Talend Jobs, refactored with a redesigned DataWarehouse and DataLake architecture. ▫ Delivered regulatory IFRS 9 reports and authored technical documentation for design, installation, and operation.

Wine Recommendation Modeling and GlobalWineScore project, facilitating rapid adoption of big data analytics in the Wine Industry through standard ecosystem. ▫ Implemented Hadoop/Spark Analytic Data pipelines and scalable Data Warehouses for efficient data processing and storage. ▫ Designed batch data flows and optimized query times to enhance data processing efficiency.

▫Developed predictive behavior analysis for VoD subscriber increase for Watchever (Vivendi Group) ▫Architected Data Platform for enhanced BI and ML. ▫Developed BI solutions with Cognos Framework Manager, ETL and Report Studio for Boehringer Ingelheim and LVMH Group. ▫Implemented data optimizations like indexing and partitioning in Oracle. ▫Spearheaded IBM Cognos BI platform development and technical architecture design. ▫Provided maintenance and project management assistance for Messier-Dowty at Atos ▫Orchestrated system architecture and implemented ETL pipelines.

Project Spangeo: Multilevel Analysis and Visualization of Geographical Network ▫ R&D in algorithmic architectures for visual social network and data analysis. ▫ Developed C++ plugins for Tulip Software and applications in Python, R, and SAS. ▫ Instructed Database and SQL courses for the Special Year program at IUT, University of Bordeaux. ENST Telecom Paris: Webograph Project, focusing on P2P development for information and knowledge sharing in networks using PHP, XUL, and MySQL. ▫ Published "A selective publication model for the web: the webograph approach" in the International Journal of Web-Based Communities JWBC 7(1), 98-115 (2011). ▫ Received a scholarship from the Ministry of Higher Education and Research for the Doctoral project.