Santiago is a pragmatic and dedicated Software Engineer specializing in data analytics and data-oriented software development, having over 8 years of experience in the analysis, design, development, management, and implementation of various Python projects for multiple industries. He also has extensive knowledge of Data Science tools and has worked on Artificial Intelligence projects and Android app development.
Worked on developing Python applications for trading tools, including GUI design using Enaml framework. Handled software design, maintenance, and debugging.
Designed software architecture using Python, performing collaborative coding in agile teams.
Interacted with high-level financial libraries, such as QuantLib, and sophisticated stochastic financial calculus models.
Delivered data-driven predictions of useful life using AI techniques: statistical analysis, sequential neural networks, Fourier and Wavelet transforms, for heavy machinery monitoring. Worked on Android app development (with Java) for in-field assessing, surveying, and transmitting railway geographic and topographic information.
Developed vibration threshold values from surveyed data using Numpy, Pandas and SciPy frameworks. Worked on classification using TensorFlow, Keras, and sk-learn frameworks.
Performed geographic data analysis using PyQGis library for geolocalization, and created mathematical modelling and simulation for complex, nonlinear dynamic systems. Designed and implemented data acquisition systems using Arduino and Raspberry Pi based systems.
Worked on the design and execution of technical measurements for small and large companies.
Developed signal descriptors using Numpy, SciPy, and Pandas libraries. Worked with data visualization including graphics, animations, and presentations design using Matplotlib library.
Delivered digital signal processing for measured signals, data analysis, and report creation for clients.
Trenes Argentinos Operacións is a body dependent on the Ministry of Transport of the Argentine Republic whose purpose is to promote the modernization of the railway system with a focus on passenger service. Performed analysis and processing of large data sets, as well as worked on automatic recognition of patterns and defects. Designed and programmed machine learning models for data classification. Designed and programmed Android apps for use by staff in field work.
Worked on the "Recalculando” project, involving math and logic workshops for marginalized populations. Acted as Co-founder of the program and lecturer, providing all levels of class lecturing and workshops in jails, ghettos, and “villas miseria”.
