Mara Leone
About Mara Leone
Mara Leone is a Junior Consultant Software Developer with a background in computational linguistics and conversation design. She has extensive academic experience, including studies at prestigious institutions such as Stanford University and Sapienza Università di Roma.
Work at ThoughtWorks
Mara Leone currently serves as a Junior Consultant Software Developer at ThoughtWorks, a position she has held since 2021. In this role, she engages in software development projects, contributing her expertise in programming and software design. ThoughtWorks is known for its focus on technology and consulting services, and Mara plays a part in delivering innovative solutions to clients.
Current Role at Sapienza Università di Roma
Mara has been working at Sapienza Università di Roma as a Cultore della Materia since 2020. This role involves contributing to academic activities and supporting the educational mission of the university. Her involvement reflects her commitment to the field of linguistics and education.
Education and Expertise
Mara Leone has a diverse educational background. She studied at Sapienza Università di Roma, where she earned a Laurea Magistrale in Scienze linguistiche, letterarie e della traduzione from 2017 to 2019. Additionally, she completed a Laurea triennale in Lingue, Culture, Letterature, Traduzione from 2014 to 2017. Her studies also include international experiences, such as a Programma di mobilità internazionale at Università statale di Mosca 'Lomonosov' in 2016 and an Erasmus program at Università Ludwig-Maximilians di Monaco di Baviera from 2018 to 2019.
Research and Publications
Mara has authored several research papers in the field of linguistics. Notably, she published 'Il passato discontinuo come categoria semantico-funzionale nella lingua russa contemporanea' in Studi di linguistica slava and 'Pietro il Grande nelle opere di Sumarokov' in Slavia: rivista trimestrale di cultura. Her research contributions demonstrate her engagement with linguistic theory and historical analysis.
Technical Projects and Skills
Mara has developed a Rasa chatbot prototype that functions as a personal secretary for CV information retrieval. Additionally, she conducted sentiment analysis on Tweets using Naive Bayes' and Logistic Regression classifiers. Her technical skills include natural language processing and deep learning, which she is currently studying at Stanford University School of Engineering.