OwlStat is a B2B SaaS product that helps social media agencies analyze their clients' Instagram accounts. From the initial ideation phase, I have successfully developed and launched a fully functional product that is now used by customers worldwide.With OwlStat, agencies can access a comprehensive dashboard and various tools to measure Instagram statistics, allowing them to make data-driven decisions for their clients. The platform has received more than 1M page views and has thousands… Show more OwlStat is a B2B SaaS product that helps social media agencies analyze their clients' Instagram accounts. From the initial ideation phase, I have successfully developed and launched a fully functional product that is now used by customers worldwide.With OwlStat, agencies can access a comprehensive dashboard and various tools to measure Instagram statistics, allowing them to make data-driven decisions for their clients. The platform has received more than 1M page views and has thousands of active users.As the sole developer of OwlStat, I have been responsible for managing all aspects of the product, including the technical and graphical aspects, as well as building and maintaining relationships with OwlStat's valued customers. Show less

I gained valuable experience working on real-world projects and was exposed to a wide range of technologies and techniques in the fields of data science and machine learning. Working with a diverse team of experts helped me apply my newfound knowledge to various data science challenges. I learned about machine learning algorithms and data engineering techniques, and how they can be used to make decisions based on data inputs. I also gained an understanding of the design and construction… Show more I gained valuable experience working on real-world projects and was exposed to a wide range of technologies and techniques in the fields of data science and machine learning. Working with a diverse team of experts helped me apply my newfound knowledge to various data science challenges. I learned about machine learning algorithms and data engineering techniques, and how they can be used to make decisions based on data inputs. I also gained an understanding of the design and construction of systems for storing, processing, and analyzing large amounts of data. Show less

I developed a tool for the dynamic visualization of data obtained through SPARQL Queries, built with ReactJS. Meanwhile, I worked on NLP research activities, working with Google Bert and Gensim.

During this internship, I had the opportunity to work with one of the biggest players in the public transport sector by building a dashboard to track real-time data coming from sensors installed on train fleets. I had the opportunity to study and work with tools such ElasticSearch and Kibana to manage the time series, and Vaadin to create the web interface.