Gabriel Zenobi
Artificial Intelligence Researcher at Sistemas Inversores- Claim this Profile
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Bio
Credentials
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Supervised Machine Learning: Classification
IBMFeb, 2023- Nov, 2024 -
Discrete Optimization
University of MelbourneOct, 2022- Nov, 2024 -
Probabilistic Graphical Models 1: Representation
Stanford OnlineSep, 2022- Nov, 2024
Experience
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Sistemas Inversores
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Spain
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Financial Services
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1 - 100 Employee
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Artificial Intelligence Researcher
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Jun 2022 - Present
Sistemas inversores es una empresa que se encarga de capacitar, formar y desarrollar sistemas de trading inteligentes usando IA. Ademas de contar con una gama de profesionales tambien dispone de su propio software ALPHADVISOR el cual es una herramienta muy poderosa para crear sistemas autonomos capaces de operar en cualquier mercado financiero. Tenemos una area de investigacion de IA, aplicada a desarrollar nuevas tecnicas para estar siempre a la vanguardia. Para mas informacion porfavor mira el siguiente enlace: https://www.sistemasinversores.com/ Show less
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Data scientist and analyst
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Jan 2021 - Present
My interest in improving my capabilities to solve large-scale problems led me to data science, along with machine learning and AI I learned and developed mechanisms for data processing such as: preprocessing, data engineering, visualization, exploratory data analysis, statistics, among others... In this area I also experimented and applied machine learning along with other skills needed to solve challenges. You can check some of my work on my github and Kaggle:https://www.kaggle.com/gabrielzenobi Show less
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Trading Strategy programmer and researcher
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Aug 2019 - Dec 2021
I started trading in mid-2019, however my profile was an algorithmic-trader. So at the beginning of 2020 I researched(as a freelancer) on futures(S&P500) using Machine Learning techniques which I then took to FOREX markets, the goal was to develop expert trading systems using artificial intelligence, some of my skills in this field are:* Cython + TALIB: I Developed a trading simulator to train machine learning algorithms, together with statistical metrics.* Ninjatrader8: I Developed using C# a toolkit known as OrderFlow, for traders, investment funds and banks.* Metatrader5: Using MQL5 (an integrated programming language similar to C) to develop and test systems within the platform. Besides my knowledge in risk metrics (RMSE, Profit Factor, Expected payoff, Profit/Loss ratios, Accuracy among others...).* Data Science and Machine Learning: Stationarity study, graphs, KNN, K-Means, Decision Trees, Regressions, AR, MA, ARMA, ARIMA, among other predictive models. Show less
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Scientific computing and research
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Mar 2012 - Nov 2015
I started in programming with algebraic methods applied to computation for simulation and testing. In this field I also applied geometry linked to OpenGL and other graphics libraries to realize 2 and 3 dimensional models for classical physics and mathematical exploration (mathematical algorithms) to solve problems.
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Reverse engineering researcher
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Jun 2012 - Jan 2014
I started studying reverse engineering back in 2011 with Ricardo Narvaja and Corelancoder's articles, pdfs and books. I mastered this subject in an advanced way in mid 2012. By that time I already managed perfectly IDA, OllyDBG and WinDBG, developing drivers (ring 0) in Linux mainly, but also in Windows to vulnerate systems (memory protection) and the creation of exploits (Backtrack 5), this allowed me to understand how the internal structure of the Linux and Windows operating system works and thus develop techniques and plugins (in IDA) to control the flow of programs, i developed Hooks, Keyloggers, Trojans, Rootkits, immortal processes, sniffers, among others .... Show less
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Education
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Universidad Nacional del Sur
Licentiate degree, Computer Scientist -
2018 - 2019
Universidad Nacional del Sur
Physicist -
2012 - 2013
CBTECH
Expert in Web programming, PHP, MySql
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