About Alexandre
Full‐stack Data Scientist with a strong analytical background, a problem‐solving attitude and auto‐didactic mindset boosted, by an MSc in Engineer‐ ing Physics followed and a 6 years career in IT, mostly Data Science. Fluent in Python and experienced in the most common cloud platforms for Data Science, Big data technologies, machine learning models and MLOps tools, he is well equipped to build end‐to‐end data science solutions by tackling either Data Engineering, Machine Learning or model deployment and maintenance tasks. He is also a good team player who has quickly adapted to working in diverse environments from big corporations under strict, top‐down management where the ability to communicate to non‐technical audiences was essential, to startups with a more flexible organisation, but also demanding more pro‐active and critical attitudes.
Portuguese
Native or bilingual
Can work on-site
Amsterdam (up to 50km)
Experience
- NikeLead Data ScientistMarch 2022 - February 2023 (11 months)Amsterdam, NetherlandsOptimising assortment planning at Nike by forecasting product-level consumer demand using machine learning regression and time-series models. My main tasks consisted in: ﹒Collecting, cleaning, preparing and transforming data to obtain complex features. ﹒Tuning and comparing the performance of multiple models ﹒Contributing to ML Engineering tasks such as implementing and deploying the data and model pipelines in production ﹒Database management. ﹒Dashboard maintenance. During this period I was also supervising and training at least one Junior Data Scientist. Overall, this project resulted in a reduction in the forecast error of around 50%.
- DephionData ScientistMarch 2020 - March 2022 (2 years)Limburg, NetherlandsEnabling data-oriented strategies for a newly created mobile app focused on e health through personalised digital coaching by: ﹒Developing, deploying and monitoring machine learning models for user behaviour prediction and content recommendation ﹒Implementing the data streaming pipelines that processed the events sent by the app in real time. ﹒Designing high level solutions' architecture ﹒Pre-selecting the tech stack according to the project's current and future requirements ﹒Improving the team's processes to make it more structured at multiple levels (from coding to task planning), for example by introducing CI/CD practices.
- Xpand ITData ScientistBANKING AND INSURANCEAugust 2018 - March 2020 (1 year and 7 months)Lisbon, PortugalBuilding the foundations for a Data Science consulting team. creation of a specifically tailored project management methodology based on CRISP-DM and Agile to the standard project framework in Python.﹒Applying these strategies in short projects related to classification and time series prediction. Involved in multiple end to end Data Science projects. My main tasks involved:﹒Implementing automated data ingestion and processing pipelines.﹒Exploring and finding the best feature engineering and modelling strategies.﹒Implementing and validating production-ready models.﹒Defining and following the most suitable project management methodologies according to the context of each project.﹒Presenting results to the stakeholders.
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Education
- Master of EngineeringInstituto Superior Técnico2015Master's Degree, Engineering Physics
- Master of EngineeringTechnische Universiteit Eindhoven2015Master's Thesis, Engineering Physics