Beatrice Melo

I am a data scientist with a master’s degree in Communication from Universidade Federal Fluminense, where I specialized in analyzing digital platforms and online communities. My career bridges academic research and professional practice, with extensive experience in social media sentiment analysis, data scraping, and cataloging large datasets.

At BR+ Comunicação, I contributed to SECOM reports by tracking public sentiment and online trends across platforms like Instagram, X, Facebook, and YouTube. During my time at #MUSEUdeMEMES, I led projects on political discourse, meme formats, and gender-based violence in digital spaces, applying tools such as Python, R Studio, Pandas, V-Tracker, and CrowdTangle.

My master’s thesis explored toxic fandoms in Brazilian soap operas, where I collected and analyzed comments from TikTok and Facebook to understand how audiences engage with remakes and original productions. This research sharpened my skills in data extraction, cleaning, and thematic analysis.

I am fluent in Portuguese and English, with intermediate Italian, and certified in hate speech analysis and network analysis. My interests lie at the intersection of data science, communication, and society, particularly how digital platforms shape public opinion, cultural debates, and political narratives. I aim to bring rigorous analysis and innovative approaches to organizations seeking to understand and act upon complex social media dynamics.