Personal Information
Entreprise/Lieu de travail
São Paulo Area, Brazil Brazil
Profession
I ❤️ solve hard problems
Secteur d’activité
Finance / Banking / Insurance
Site Web
http://www.if.ufrgs.br/~antunes
À propos
Recruiters: I don't like calls (we are in the 21st century), send me an email. Include enough details in your email to allow me to quickly evaluate whether the position you are recruiting for is a good fit - this includes a detailed description of the role, company name, and a ballpark on compensation.
► I turned a scientific discovery in a startup aiming water’s desalination and a trading algorithm in a Bitcoin’s investment fund.
► I organized the first TEDxUFRGS and a summer school for entrepreneurs with SEBRAE-RS.
► I was Global Shaper at Porto Alegre hub
Now I'm a Data Scientist at one of greatest banks of the world.
Mots-clés
benford's law
government
gerative models
Tout plus
- Présentations
- Documents
- Infographies
Tutorial on sequence aware recommender systems - UMAP 2018
Paolo Cremonesi
•
il y a 5 ans
Enterprise Data Governance and Compliance at Scale with Sri Eshasubbiah and Sunil Patil
Databricks
•
il y a 5 ans
Building Data Product Based on Apache Spark at Airbnb with Jingwei Lu and Liyin Tang
Databricks
•
il y a 6 ans
Augmenting Machine Learning with Databricks Labs AutoML Toolkit
Databricks
•
il y a 4 ans
Interactive Recommender Systems with Netflix and Spotify
Chris Johnson
•
il y a 8 ans
AWS re:Invent 2016: Zillow Group: Developing Classification and Recommendation Engines with Amazon EMR and Apache Spark (MAC303)
Amazon Web Services
•
il y a 7 ans
Netflix Recommendations Feature Engineering with Time Travel
Faisal Siddiqi
•
il y a 6 ans
ML Infra for Netflix Recommendations - AI NEXTCon talk
Faisal Siddiqi
•
il y a 6 ans
LinkedIn talk at Netflix ML Platform meetup Sep 2019
Faisal Siddiqi
•
il y a 4 ans
Netflix talk at ML Platform meetup Sep 2019
Faisal Siddiqi
•
il y a 4 ans
Homepage Personalization at Spotify
Oguz Semerci
•
il y a 4 ans