Fernando Margueirat
About Fernando Margueirat
Fernando Margueirat is the Manager of Treasury Applications at Brookfield Asset Management in Toronto, Ontario, Canada, with extensive experience in software development, business systems analysis, and data science.
Title
Fernando Margueirat holds the position of Manager, Treasury Applications at Brookfield Asset Management in Toronto, Ontario, Canada. He has been with this company for several years, contributing to various aspects of software development and business systems analysis.
Professional Experience at Brookfield Asset Management
Before becoming the Manager of Treasury Applications, Fernando Margueirat served as Sr Software Developer at Brookfield Asset Management from 2018 to 2021. In his current role, he manages a Software Development team within the Treasury Systems group, focusing on enhancing the company's technological capabilities to manage assets effectively.
Career History at The National Ballet of Canada
Fernando Margueirat worked at The National Ballet of Canada in various capacities. Initially, he served as a SQL Server Developer from 2004 to 2007. He then became a Business Systems Analyst from 2007 to 2013 and was promoted to Senior Business Systems Analyst, a position he held from 2013 to 2017. His roles involved system implementation, staff training, and technical documentation.
Early Career and Technical Roles
Fernando Margueirat's early career included several technical roles. He worked as a Technical Product Specialist at Triversity Inc. from 2002 to 2004, and as a Systems Analyst at Banco Rio from 1997 to 2001. Prior to that, he held two roles simultaneously at Syner S.A. and Molinos Rio de la Plata S.A. as Senior Developer and Technical Support Specialist, respectively, from 1995 to 1997.
Educational Background
Fernando Margueirat studied Computer Science at Universidad Centro de Altos Estudios en Ciencias Exactas, earning his BSc from 1992 to 1996. He is currently pursuing a Data Science Certification to further enhance his technical expertise and stay updated with modern data science practices.
Technical Skills and Tools
Fernando Margueirat is proficient in various technologies and tools. He uses Hadoop Ecosystem Tools like HDFS, Hive, Spark, Flume, Sqoop, and Pig, along with data science libraries such as Pandas, Scikit-learn, Keras, Matplotlib, Seaborn, Bokeh, NLTK, Scrapy, and Tweepy. He also has expertise in machine learning models including Regression, Decision Tree, Random Forest, DNN, RNN, CNN, SVM, and KNN. Additionally, he is skilled in using IDEs like PyCharm, Visual Studio, and Eclipse, as well as operating systems like Windows/Windows Server, Linux, VMWare, Hyper-V, and Virtual Box.