Henry Rosales Méndez

Data Scientist Associate Manager

• Airline | Create a GenAI chatbot based on OpenAI and Azure CosmosDB.
• Forestry | Lead and execute the selection of no-code analytics software that meets business needs and stakeholder requirements.
• Banking | Lead and design the migration of a Hadoop datalake to AWS S3 and Snowflake.
• Mining | Transformation of downtime data to feed a simulation-based process for failure prioritization.
• Mining | Lead, design and develop a mineral tracking tool for Dispatch, ProVision and Vulkan data.

Data Scientist

• Healt | Lead, design and develop an entity recognition tool for medical service receipts.
• Banking | Lead, Design and implement a compiler-based approach for recognizing specific entities in digital invoices.
• Retail |Design and implement a Machine Learning module for Twitter/Facebook posts based on an ensemble of classifiers in GCP.
• Retail | Design and implement a friendly web application with Python+Django for setting up some classifiers parameters.

Data Scientist

• Forestry | Design and develop a pipeline migration from on-premise to GCP for 3D LIDAR data processing.
• Forestry | Migrate a datalake from on-premise to Bigquey.

Teaching

• Lecturer | O'Higgins University. Chile. August 2021 - February 2022
• Assitant student | Chilean University. Chile. August 2018 - February 2020
• Lecturer | Orient University. Cuba. August 2012 - August 2014

Papers

1. Telar and TelarKG: Data-Driven Insights into Chile’s Constitutional Process. Renzo Angles, Naim Bro, Ivania Donoso-Guzmán, Juan Pablo Luna, Aidan Hogan, Juan Reutter, Henry Rosales-Méndez, and Sergio Toro. Communications of the ACM. 2024.
2. MillenniumDB: A Multi-modal, Multi-model Graph Database Engine. Domagoj Vrgoc, Carlos Rojas, Renzo Angles, Marcelo Arenas, Vicente Calisto, Benjamín Farías, Sebastián Ferrada, Tristan Heuer, Aidan Hogan, Gonzalo Navarro, Alexander Pinto, Juan Reutter, Henry Rosales, and Etienne Toussiant. SIGMOD'24 (Demo Track).
3. TelarKG: a Knowledge Graph of Chile's Constitutional Process. Renzo Angles, Vicente Calisto, Javiera Díaz, Sebastián Ferrada, Aidan Hogan, Alexander Pinto, Juan Reutter, Carlos Rojas, Henry Rosales-Méndez, Hernan Sarmiento, Etienne Toussaint and Domagoj Vrgoč. In the Proceedings of the Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), Santiago, Chile, June 14, 2024.
4. Merging Web Tables for Relation Extraction With Knowledge Graphs. Jhomara Luzuriaga, Emir Muñoz, Henry Rosales-Méndez, Aidan Hogan. IEEE Trans. Knowl. Data Eng. 35(2): 1803-1816 (2023).
5. Fine-Grained Entity Linking Henry Rosales-Méndez, Aidan Hogan and Barbara Poblete. Journal of Web Semantics, 2020
6. Fine-Grained Evaluation for Entity Linking Henry Rosales-Méndez, Aidan Hogan and Barbara Poblete. EMNLP-IJCNLP, 3 - 7 November 2019. Hong Kong, China
7. Towards Better Entity Linking Evaluation Henry Rosales-Méndez. PhD Symposium at The Web Conference 2019, San Francisco, California, USA, on May 14, 2019.
8. NIFify: Towards Better Quality Entity Linking Datasets Henry Rosales-Méndez, Aidan Hogan and Barbara Poblete. LA-WEB 2019. San Francisco, California, USA, on May 13 - 14, 2019.
9. VoxEL: A Benchmark Dataset for Multilingual Entity Linking Henry Rosales-Méndez, Aidan Hogan and Barbara Poblete. International Semantic Web Conference (ISWC), Monterey, United States, 2018.
10. Machine Translation vs. Multilingual Approaches for Entity Linking Henry Rosales-Méndez, Aidan Hogan and Barbara Poblete. ISWC 2018 Posters & Demonstrations and Industry Tracks. Monterey, United States, 2018
11. What should Entity Linking link? Henry Rosales-Méndez, Barbara Poblete and Aidan Hogan. In the Proceedings of the Alberto Mendelzon International Workshop (AMW2018), Cali, Colombia, May 21, 2018
12. Multilingual Entity Linking: Comparing English and Spanish Henry Rosales-Méndez, Barbara Poblete and Aidan Hogan. In the Proceedings of the Linked Data for Information Extraction (LD4IE) Workshop at ISWC 2017, Vienna, Austria, October 22, 2017.
13. A new micro-objects-based evaluation measure for co-clustering algorithms. Henry Rosales-Méndez, and Yunior Ramírez-Cruz. Pattern Recognition Letters, 84, 142-148, 2016 [bib] [preprint] [doi]
14. Addressing the validation of overlapping clustering algorithms. Henry Rosales-Méndez, Yunior Ramírez-Cruz. Intelligent Data Analysis, 18(6S), S33-S45 2014
15. CICE-BCubed: A New Evaluation Measure for Overlapping Clustering Algorithms Henry Rosales-Méndez, Yunior Ramírez-Cruz. In: 18th Iberoamerican Congress on Pattern Recognition (CIARP), La Habana, Cuba, Nov 20-23, 2013
16. Proposal of a new quality measure for overlapping clustering algorithms. Henry Rosales-Méndez, Yunior Ramírez-Cruz and Reynaldo Gil-García. II Conferencia Internacional de Ciencias Computacionales e Informáticas, ISBN: 978-959-7213-02-4, 2013, La Habana, Cuba. (In Spanish)

Staffing