I am a Mechatronics Engineer from Ecuador. Data Science project development, problem-solving using automation, team player and communication are some of the skills I am currently working into.
I love to extract value from data, using it to discover hidden information or build models for meaningful purposes.
CARREER HIGHLIGHTS
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* Developed a deep learning algorithm to detect faults in wind turbines 3 months in advance, making maintenance 90% cheaper than corrective maintenance after the fault.
* Identified possible fraud in 100+ Ecuadorian public entities through an analysis of the procurement procedures data in 2020.
* Created a system to detect malicious IP addresses trying to connect to the company network, analyzing the network traffic data.
* Coordinated the installation of an 18-rack smart cubicle in a data center, configuring sensors and login systems to ensure high-security standards for its 500+ terabytes of data
AREAS OF EXPERTISE
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Time-series forecasting
Deep Learning for image recognition
Fraud detection with data analysis
Network traffic capture and analysis.
IoT hardware and software
TECHNICAL SKILLS
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Languages: Python, Java, Arduino IDE
Frameworks and libraries: Tensorflow, Pytorch, Apache Spark, Scikit-Learn, Matplotlib
Databases: MySQL, SQL Lite, Firebase
Software tools: VS Code, Matlab, Git/GitHub, Linux command prompt
Open source systems: Arduino, Raspberry Pi
PROJECTS BRIEFCASE
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