Cristóbal Álvarez Contreras Email & Phone Number

Chile

Data Scientist on the project Forecast-One of Walmart Chile

Valparaíso, Chile

Part of the Development and Research Engineers (R&D) team, where I worked as a data scientist on various projects. My main tasks were the development of failure prediction algorithms and the estimation of the health status of mining equipment. I also acted as Lead Data Scientist in coordinating the work and presenting the results.

Santiago, Chile

Thesis work in the research line "Physics-based Machine Learning", where I was able to implement deep learning algorithms for solving inverse problems in partial differential equations.

Viña Del Mar, Región De Valparaíso, Chile

Responsible for creating artificial intelligence algorithms for trading decision making. My main tasks were:1. Generating hypotheses about current strategies to maximize returns and testing those hypotheses through backtesting. 2. Coding strategies in Python for their respective testing and optimization using state of the art methods. 3. Putting strategies into production that work automatically and in real time using MLOps on AWS. 4. Provide detailed strategy performance reports to management and investors.5. Automate tasks (RPA).6. Data engineering on real-time financial data.

Santiago, Chile And Valparaíso, Chile

Teaching assistantships for general subjects of Engineering, Civil Engineering Mathematics and Master in Mathematics.

Santiago, Chile

I was part of a project to find reduced models through artificial neural networks, this to find optimal neurostimulation treatments and model nerve fibers providing interpretability to the fiber structure through Autoencoders.

Valparaíso, Chile

Research stay at AC3E to study the links between control theory and deep learning with the use of simultaneous control in neural ODEs for classification problems.

Santiago, Chile

Industrial internship at the Automation and Technology Department of Minera Lumina Copper Chile, where I worked on the project "Review and Debugging of Equipment Data for Characterization of Operational Phenomena". In this project I was able to develop an anomaly detection and prognosis algorithm using multivariate statistical techniques.

Master Of Science, Mathematics

Student in the area of control of partial differential equations and inverse problems.(DOI: 10.13140/RG.2.2.34353.60002, Thesis)

Engineering, Mathematical Engineering