04/08/2025 updated
100 % available
Experienced Data Scientist and Software Engineer with Teaching Background
Porto, Portugal Engineering degree in Telecommunications
Java (Programming Language)Amazon Web ServicesData AnalysisTeachingBig DataC Sharp (Programming Language)Cloud ComputingComputer ProgrammingDatabasesContinuous IntegrationD3.JsWeb ScrapingData VisualizationApache HadoopPython (Programming Language)Machine LearningMongoDBMySQLNatural Language ProcessingOracle ApplicationsPredictive MaintenanceSentiment AnalysisSoftware EngineeringData Storage TechnologiesData ScienceApache SparkDeep LearningGitVue.jsSoftware Version ControlDockerJenkins
Data Science and Machine Learning
Extensive experience in data science, machine learning, and deep learning techniques. Proficient in developing ML models for various applications including predictive maintenance and data analysis.
Software Engineering and Programming
Strong programming skills in multiple languages including Python, Java, and C#. Experienced in developing data storage pipelines, web scraping scripts, and data visualization applications.
Data Visualization and Analysis
Expertise in data visualization techniques and tools such as D3.js, Leaflet, and Vue.js. Skilled in data analysis using various statistical and machine learning methods.
Big Data Technologies
Proficiency in big data technologies including Hadoop, Spark, and various database systems such as MySQL, Oracle, and MongoDB.
Natural Language Processing
Experience in NLP techniques and applications, including sentiment analysis and topic extraction.
Cloud Computing
Familiarity with cloud platforms such as AWS for deploying and scaling data science solutions.
Software Development Tools
Proficient in using version control systems, CI/CD tools, and development environments such as Git, Jenkins, and Docker.
Extensive experience in data science, machine learning, and deep learning techniques. Proficient in developing ML models for various applications including predictive maintenance and data analysis.
Software Engineering and Programming
Strong programming skills in multiple languages including Python, Java, and C#. Experienced in developing data storage pipelines, web scraping scripts, and data visualization applications.
Data Visualization and Analysis
Expertise in data visualization techniques and tools such as D3.js, Leaflet, and Vue.js. Skilled in data analysis using various statistical and machine learning methods.
Big Data Technologies
Proficiency in big data technologies including Hadoop, Spark, and various database systems such as MySQL, Oracle, and MongoDB.
Natural Language Processing
Experience in NLP techniques and applications, including sentiment analysis and topic extraction.
Cloud Computing
Familiarity with cloud platforms such as AWS for deploying and scaling data science solutions.
Software Development Tools
Proficient in using version control systems, CI/CD tools, and development environments such as Git, Jenkins, and Docker.
Languages
EnglishFluentFrenchFluentItalianNative speakerPortugueseBasic knowledgeSpanishBasic knowledge
Project history
Tutor for the MSc in Data Science.
Intervention, as a Teacher and TA, on several iterations of a Data Science bootcamp:
Algos: K-means, Reinforcement learning, Genetic Algorithms, Bayesian networks
Sector: Education
Intervention, as a Teacher and TA, on several iterations of a Data Science bootcamp:
- Provided online support to students of several Data Science MSc program modules, such as Big Data Analysis, Statistics and Statistical Data Mining, and Artificial Intelligence.
- Participated in webinars to answer questions from students of the Data Science MSc program.
- Graded the students' coursework and exams on the Data Science MSc modules.
Algos: K-means, Reinforcement learning, Genetic Algorithms, Bayesian networks
Sector: Education
DataScience Bootcamp Teacher
Intervention, as a Teacher and TA, on several iterations of a Data Science bootcamp:
Tools: Python, SQL, Pandas, Scikit-learn, TensorFlow, Docker, GCP
Algos: Linear Models, Random Forests, K-means, PCA, Neural Networks, RNN, CNN
Sector: Education
Intervention, as a Teacher and TA, on several iterations of a Data Science bootcamp:
- Lectures and exercises work on all the topics of the bootcamp
- Supervision of groups during project weeks (Timeseries, Image Recognition,Recommendations..)
- Trained more than 400 students, and mentored more than 50 final projects.
Tools: Python, SQL, Pandas, Scikit-learn, TensorFlow, Docker, GCP
Algos: Linear Models, Random Forests, K-means, PCA, Neural Networks, RNN, CNN
Sector: Education
Development of a GenAI enterprise solution
Development of a GenAI app to check document compliance with company guidelines:
Sector: Consulting
Development of a GenAI app to check document compliance with company guidelines:
- Development of a Python app using agents and an RAG approach.
- A/B testing to optimize prompts.
Sector: Consulting