Stefano Dantas Email & Phone Number
@gsts.ca
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Who is Stefano Dantas? Overview
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Stefano Dantas is listed as Senior Machine Learning Engineer at Findly (YC S22), a company with 11 employees, based in Montreal, Quebec, Canada. AeroLeads shows a work email signal at gsts.ca and a matched LinkedIn profile for Stefano Dantas.
Stefano Dantas previously worked as Software Developer at Gsts - Global Spatial Technology Solutions and Data Scientist at Gsts - Global Spatial Technology Solutions. Stefano Dantas holds Master Of Science - Ms, Artificial Intelligence from Mcgill University.
Email format at Findly (YC S22)
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About Stefano Dantas
Stefano Dantas is a Senior Machine Learning Engineer at Findly (YC S22). He possess expertise in python, machine learning, electromagnetic simulation, telecommunications, powerpoint and 11 more skills. He is proficient in Francês, Espanhol and Inglês. Colleagues describe him as "If you're looking for a talented and reliable developer who truly thinks ahead, Stefano is an exceptional choice. I worked with Stefano for two years, and he reported directly to me for one. He consistently impressed me with his ability to create smart technical solutions using Python and AWS, as well as with his commitment to taking ownership of key processes. Stefano led multiple technical initiatives with a remarkable ability to understand complex requirements and build consensus across team members. While immensely capable in delivering high quality solutions independently, he also has a talent for bringing diverse perspectives together, ensuring everyone is aligned on the most effective approach before diving into implementation. I can confidently recommend Stefano - he's the kind of developer any team would be fortunate to have."
Listed skills include Python, Machine Learning, Electromagnetic Simulation, Telecommunications, and 12 others.
Stefano Dantas's current company
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Stefano Dantas work experience
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Software Developer
Current
Data Scientist
Machine Learning Researcher
A joint project of LATITUDE Lab and ENAP- Working with NLP models (BERT, LSA, fastText) to classify Brazilian regulatory laws into different sectors of the economy- Developing restrictiveness and complexity metrics to evaluate regulatory trends
Graduate Research Assistant
- Using Machine Learning and Natural Language Processing for multi-label classification of FOI requests and responses- Worked with Time Series techniques for anomaly detection on newspaper articles and Freedom of Information (FOI) requests
Quantitative Research Intern
- Developed Machine Learning models for Global Asset Allocation- Created indicators using web scraped data to evaluate the economic impacts of COVID-19
External Researcher
Researcher at LAMFO (Machine Learning Laboratory in Finance and Organizations).Worked on a Quantile Recurrent Network for Value at Risk estimation and Mixed-data Sampling (MIDAS) Regression for Asset Allocation
Undergraduate Researcher
Project “Through-the-Earth communication for autonomous mining operations” funded by Finatec and ITV (Instituto Tecnologico Vale)- Development of a discrete event simulation for the Rubee protocol (IEEE standard 1902.1) using Python;- Simulation of antennas using CST (Computer Simulation Technology) and Pspice;- Development of TTE link level simulations.
Research Assistant
- Developed a project that aimed to use photovoltaic systems to fight poverty in Brazil;- Impact analysis in electricity pricing due to distributed generation;- Feasibility study of photovoltaic systems in Brazil.
Internship At Information Security
- Treatment of security threats to virtual systems;- Analysis of legitimate web traffic;- Manage internal requests for web access.
Undergraduate Summer Researcher
During the summer of 2015 I was part of the Computational Electromagnetics Laboratory at McGill University, working together with other undergraduate and graduate students. My main work was concentrated in two projects: - An on-going project called “Microwave Breast Cancer Detection” where I did electromagnetic computational simulations of different.
Undergraduate Researcher
I was awarded with a scholarship as part of a Brazil government's program that aimed at introducing young students to scientific research (PIBIT).My research was the development of a VLC (Visible Light Communication) transmitter and the study of Cognitive Radio using GNU Radio at the Microwave and Wireless Systems Lab at UnB;
Undergraduate Teaching Assistant
- Physics 2 (1/2013)- Digital Systems laboratory (1/2016)
Stefano Dantas education
Master Of Science - Ms, Artificial Intelligence
Bacharelado Em Engenharia, Engenharia Elétrica E Eletrônica
Bacharelado Em Engenharia, Engenharia Elétrica E Eletrônica
Frequently asked questions about Stefano Dantas
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What company does Stefano Dantas work for?
Stefano Dantas works for Findly (YC S22).
What is Stefano Dantas's role at Findly (YC S22)?
Stefano Dantas is listed as Senior Machine Learning Engineer at Findly (YC S22).
What is Stefano Dantas's email address?
AeroLeads has found 1 work email signal at @gsts.ca for Stefano Dantas at Findly (YC S22).
Where is Stefano Dantas based?
Stefano Dantas is based in Montreal, Quebec, Canada while working with Findly (YC S22).
What companies has Stefano Dantas worked for?
Stefano Dantas has worked for Findly (Yc S22), Gsts - Global Spatial Technology Solutions, Escola Nacional De Administração Pública Enap, Mcgill University, and Alpine Macro.
How can I contact Stefano Dantas?
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What schools did Stefano Dantas attend?
Stefano Dantas holds Master Of Science - Ms, Artificial Intelligence from Mcgill University.
What skills is Stefano Dantas known for?
Stefano Dantas is listed with skills including Python, Machine Learning, Electromagnetic Simulation, Telecommunications, Powerpoint, Microsoft Office, Microsoft Excel, and Matlab.
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