About
Senior Data/ML Engineer @ WithSecure
I am interested in Big Data and Machine Learning topics, mainly related with society’s behaviour and the evolution of them. Indeed, I believe that in these days social innovations will come by studying and learning how people interact with each other and relate with the technological services provided.
- Degree: Data Science Master @ Aalto Univ.
- Based in: Helsinki, Finland
- Contact: lucascott1996@gmail.com
- Telegram: @lucascott
Resume
Briefly, my education and job experiences have been always data-oriented. I have been always attacted by data mining and data science challenges and I love to reason and desing architectures to make operational successful research results and algorithms.
Professional Experience
Senior Data/ML Engineer
May 2023 - Present
WithSecure, Helsinki, Finland
- Data engineer with a focus on the development and operations field, specifically on scalable big data and ML operations on AWS.
- Working tightly with Data Science and DevOps teams to drive development of industrial-scale models and manage MLOps platform.
- Managing data lake and data warehouse with particular focus on security, data governance, GDPR compliance and data democratization.
- Creating and orchestrating ETLs, ELTs and reverse ETLs for business critical data applications/reporting. Monitoring data quality at scale.
- Developed APIs and pipelines on top of Neptune graph database for high throughput data intake and retrieval for WithSecure protection engine.
Data/Ml Engineer
Jan 2020 - Apr 2023
WithSecure, Helsinki, Finland
- ML engineer with a focus on the development and operations field, specifically on scalable ML operations in AWS environment.
- Designed and developed production-ready ML framework aiming for increased automation and reproducibility of ML models' lifecycle.
- Designed and developed unsupervised information retrieval model for real-time malware analysis.
- Led design and development custom Splunk external commands for data integration/enrichment supporting security analytical use cases.
Natural Language Processing Researcher
Feb-Jul 2019
Gofore Plc, Madrid, Spain
- Researcher in Natural Language Processing field, especially Sentiment analysis and Topic modelling.
- Implemented Deep Learning models like RNN and FFNN in Keras and Pytorch for sentiment detection in short text reviews.
- Developed easy-to-use python modules for further extending the research project.
Deep Learning Researcher - Events Detection from Audio
Jun-Sept 2018
Fondazione Bruno Kessler Research Center, Trento, Italy
- Researcher for a scalable machine learning model for embedded systems in partnership with the municipality of Trento.
- Implemented RNN and CNN models and state-of-the-art model distillation technique known as “teacher-student” approach.
- Developed framework for automatization of test and analysis during the model evaluation phase.
Education
Master of Data Science
2018 - 2020
Aalto University, Espoo, Finland & UPM, Madrid, Spain
Double degree Master programme in Data Science with a minor in Innovation & Entrepreneurship. The Master is coordinated by the EIT Digital organization.
Erasmus Exchange
2018
Sofia University, Sofia, Bulgaria
Six months Erasmus student in Sofia where I completed my thesis's research in Forecasting of timeseries data for through LSTM neural networks. The project aimed to predict the demand of bikes in the bike sharing service in Washington D.C. The outcome was also publicly available through a REST api
Bachelor of Computer Science
2015 - 2018
University of Trento, Trento, Italy
In parallel with my degree I worked one year as international student collaborator for the University of Trento. Addtionally, I have been always active in student associations and tech-related events and competitions such as Speck & Tech or Google Hashcode