
Portuguese actress (born 1996)
via Open Library + Wikidata
Acting · Lisbon, Portugal
Daniela Melchior (European Portuguese: [dɐniˈɛlɐmɛlʃiˈɔɾ]; born 1 November 1996) is a Portuguese actress. Born in Almada, Setúbal, she launched her career in 2014 with a role in the telenovela Mulheres. She went on to appear in the teen drama Massa Fresca (2016), telenovelas Ouro Verde (2017), and A Herdeira (2018). Melchior made her film debut in 2018 with The Black Book. She provided the…
via TMDB
Tags
<a href="https://www.last.fm/music/Daniela+Melchior">Read more on Last.fm</a>
5 total works indexed
· 2019 · cited 23,716x
· 2020 · cited 15,320x
· 2010 · cited 11,317x
· 2008 · cited 10,628x
· 2013 · cited 8,577x
via Crossref · CC0
via Wikipedia infobox
via Wikidata · CC0
Daniela Melchior dos Reis Lopes Pereira ( European Portuguese: [dɐniˈɛlɐ mɛlʃiˈɔɾ]; born 1 November 1996) is a Portuguese actress. She started her career in 2014 with a recurring role in telenovela Mulheres [pt], followed by the teen drama Massa Fresca (2016). In 2017, she was cast in a leading role in the award-winning telenovela Ouro Verde. She appeared in other telenovelas, such as A Herdeira (2018), Valor da Vida (2018) and Pecado [pt] (2021). Melchior made her film debut in 2018 with The Black Book. She provided the Portuguese dubbing for Gwen Stacy in Spider-Man: Into the Spider-Verse and was cast in the comedy drama Parque Mayer in the same year. Her performance in the latter earned her a nomination for the Sophia Award Best Actress.
Melchior's first international casting was as Cleo Cazo in the DCEU film The Suicide Squad (2021), which earned her a nomination for Best Newcomer at the Portuguese Golden Globes. Subsequently, she took on minor and supporting roles in English-language films, including Marlowe (2022), Assassin Club (2023), Guardians of the Galaxy Vol. 3 (2023), Fast X (2023), Road House (2024), American Sweatshop (2025) and Anaconda (2025). In 2024, she joined the cast of Balls Up, and in 2025 of Violent Night 2.
via Wikidata · CC0
Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).