About Me
Hello👋 my name is Antonella Schiavoni, I’m a Senior Machine Learning Engineer with over 5 years of experience. I am currently working at TicketSwap as Machine Learning Engineer in Amsterdam and also working on my Data Science Master thesis. I enjoy learning new things and building prototypes to apply the knowledge 🤓. I work with Python 🐍 and a wide range of ML frameworks and libraries. Also, I am always looking for opportunities to learn and apply something new. The technologies that I currently have the most experience working with are: Python, Pytorch, Docker, Kubernetes, Circle CI, Jenkins, R, Sklearn, Pandas, Git, ML Flow and AWS services.
Projects
Classify your email text using this email classification service
A web application that contains a django service and a machine learning model that given a request with the text of an email, can detect if the email is spam or not.
Apply evolutionary algorithm to play tic tac toe
This project consists of several scripts that are used to run the evolutionary algorithm to train an Agent to play tic tac toe.
Detect the different entities that are in a text.
A rest api that exposes and endpoint that returns the entities found in a text.
Experience
• In charge of developing new features and maintaining the recommendation model used by the app to suggest artist and events for the users. • Improve recommendation system test coverage from 40% to 85%. • Analyze product requirements and design experiments using AWS Sage Maker. • Improved training process of current model by adding a model registry and dataset versioning logic. • Responsible for leading all machine learning and data science initiatives. • Train and maintain recommendation and fraud machine learning models. • Perform data analysis to detect similar user behaviour and fraud. • Developed a system that uses LayoutLM model based approach to extract entities (such as price, event name, location, date, etc) from ticket images. • Leading interviews and technical evaluation of candidates for Machine Learning position.
• Deploy and monitor new ML model services into production • Build and maintain airflow pipelines for training machine learning models • Improve deployment pipelines. This involved the migration of our deployment scripts to a full easy-to-use pipeline using lanzar and spinnaker • Ownership over one of the most important services that summarizes conversations • Train and maintain Asapp’s customer machine learning models which also involved the computation of model metrics to evaluate model performance, and the creation of custom monitors in Datadog • Perform data analysis on model’s results to evaluate ab test performance • Launch new clients to Asapp’s ML platform • Adapt service and model to run using GPU workers in production • Decouple service to be used separated from ASAPP product. This involves the design and implementation of a public API • Promoted to Senior Machine Learning in November 2021 • Technical and Cultural Fit Interviewer
• Analyse and confirm the integrity of source data to be evaluated • Generate reports following quality control procedures to document analysis and model findings • Collaborate in the elaboration of complex data structures and programs • Create documentation, specifications, diagrams, and charts to provide direction to business and other IT teams • Perform data analysis and data modeling to create source to target mappings • Feature engineering. Use of Machine learning algorithms to create new variables • Analyse structured and unstructured data
Education
Universidad de San Andres, Bs As, Argentina
MSc. in Data Science
2020 - 2022
During my masters at Universidad de San Andres I worked on improving my analytical skills as well as my modeling and statistical skills. I had the opportunity to study and apply a wide variety of machine learning techniques, as well as learning and understanding the mathematical background beahind the algorithims. In the two years program, I’ve improve my knowlgede on statistics, programming for data analysis, data visualization, supervised and unsupervised networs, NLP, neural networks with an image processing approach, and geostatistics and graph networks.
Universidad del Noroeste de la Provincia de Buenos Aires (UNNOBA), Junín, Argentina
BSc. in Computer Engineering
2011 - 2017)
During my degree at UNNOBA I developed lots of important skills such as programming, debugging, agile, team work, project management. The main focuse was software development and principles of programming which I constantly use in my day to day work.
A Little More About Me
On my free time I’m trying to learn more about blockchain and improving my athletic skills, specially running 🏃. My goal for next year is to run at least one 5k race 🤞