Experience

Hyper.systems

• United Kingdom
• Computer Networking Products
• 1 - 100 Employee

• Lead Data Scientist

  • Nov. 2021 - –Heute

  At Hyper we are a group of IOT data platforms, analytics, and integration specialists. We provide a platform for industry monitoring and automation, integrating with multiple interfaces, machines, and sensors. At Hyper we are a group of IOT data platforms, analytics, and integration specialists. We provide a platform for industry monitoring and automation, integrating with multiple interfaces, machines, and sensors.



Avlino

• United States
• Software Development
• 1 - 100 Employee

• Lead of Data Science

  • Jan. 2021 - Nov. 2021

  I am a Lead Data scientist working on internal R&D solutions for Avlino. I am also responsible to provide support to interns and junior members, and for internal data related initiatives. My industry focus is on Container Port Terminals.

• Senior Data Scientist

  • Jan. 2020 - Jan. 2021

  I am a Senior Data scientist working on Telco solutions for Avlino. I am also responsible to provide support to interns and junior members, and for internal data related initiatives.



Independent Consultant

• United States
• Technology, Information and Internet
• 1 - 100 Employee

• Data Science Advisor

  • März 2018 - März 2020

  In addition to my full time role I provided limited time advisory on solution design and architecture, technical writing, trying to lift up small companies and startups with analytics. In addition to my full time role I provided limited time advisory on solution design and architecture, technical writing, trying to lift up small companies and startups with analytics.



MOG

• 1 - 100 Employee

• Head of Data Science

  • Aug. 2018 - Dez. 2019

  MOG Technologies is a software house leading the development of high performance platforms for media processing in live, streaming, and post production environments.As head of data science my responsibilities were: - managing the data science team activities- the design, management, and architecture of all data science products- implementation of data related utilities for other teams- definition of infrastructural requirements for data science deliverables- customer delivery management- advisory of academic dissertations- consulting other teams on data management or machine learning topics



NOS SGPS

• Portugal
• Telecommunications
• 700 & Above Employee

• Lead Data Scientist (CRM - Consumer Analytics)

  • Nov. 2016 - Juli 2018

  NOS is a Cable, Internet, Content and Communications provider in Portugal. I worked within a small CRM data science team as a technical lead, my work was the following:- Build customer characterization and segmentation models - Propensity modelling - Operationalization of analytics- Data Science Accelerators: ABTs preparation, internal function libraries, automation- Data Science methodologies and processes- Support and consulting for other teams at NOS on new data related infrastructure deployment, data science projects, and discussion over GDPR compliance- Help with proposals for financing of projects within EU/National funding programs- Support of newcomers, trainees, and interns- Support of the recruitment processes for Data Science related roles



Movvo

• Brazil
• Furniture and Home Furnishings Manufacturing

• Data Scientist

  • März 2015 - Nov. 2016

  Movvo is a movement analytics company based in Oporto.At this position I worked within a mixed engineering and data science team spearheading the next evolution of a shopper movement analytics platform using anonymized Wifi data gathered passively from mobile phones by an in-house IOT data streaming platform. My main duties included:- Design and test positioning algorithms based on signal strength- Data analysis, KPI definition, and reporting- Deployment and maintenance of high volume data processing pipelines and related infrastructure- Main analytics database modeling, optimization, administration and procedural development- Development and maintenance of the main raw data store- As a senior I provided internal training and consulting on tools, technologies, statistics and databases



INTERRELATE Lda

• Developer

  • Jan. 2014 - Jan. 2015

  A data mining services and software development company based on Oporto. I focused my work on- Mixing text mining and machine learning with social network analysis approaches to retrieve information about opinions on relevant topics and relationships between entities.- Optimized graph-based ontology modeling using a relational backend- Database Design and Administration- Backend Development A data mining services and software development company based on Oporto. I focused my work on- Mixing text mining and machine learning with social network analysis approaches to retrieve information about opinions on relevant topics and relationships between entities.- Optimized graph-based ontology modeling using a relational backend- Database Design and Administration- Backend Development



CRACS

• Australia
• Construction

• Bolseiro de Investigação (Scientific Initiation Grant)

  • Apr. 2013 - Juli 2013

  Designed and built an ontology based information retrieval system feeding on social network and news data, and capable of returning relevant information in response to keyword based user queries.I worked mainly with:- Design and deployment of a RDF based ontology (on 4store) with SPARQL based queries- Automation of data extraction tasks in Java using REST and streaming APIs- Sentiment Analysis of Twitter and news data- Relevant information retrieval from text using custom relevancy metrics- Frontend programming in HTML/CSS and Javascript



CRACS/INESC Porto

• Bolseiro de Investigação (Scientific Initiation Grant)

  • Aug. 2011 - Dez. 2012

  Performed a variety of development and research tasks in a news related social network (Breadcrumbs), including:- Design and deployment a relational database (MySQL) based storage system and API- REST Interface programming (Java Servlets/Jersey)- Text Classification and Clustering enhanced by complex network analysis on user tag networks to improve in-cluster semantic similarity- Developed an approach to yield semantic information from a complex network of tags, while maintaining linguistic ambiguity of terms with contextually dependent meaning