Fabricio Flores


About me

I am interested in data analysis and applied machine learning.

I have recently started a new position as a Data Scientist at FORTIVE (FTV Employment Services LLC) on projects related with Construction Cost Estimation through data acquisition and applied machine learning.

Previously, I worked at Carnegie Mellon University as an Assistant Lecturer and Research Associate for the Department of Machine Learning (ML) and, both, the departments of  Electrical and Computing Engineering (ECE) and Civil and Environmental Engineering (CEE) respectively.

As part of the ML department I have collaborated on the undergraduate (10315 ), Masters, (10601) and PhD (10701) level courses in introduction and advanced topics in Machine Learning. Likewise, I have assisted on the graduate level course in Data Analysis (10718).

Within the ECE department, I have worked on the applications of computer vision for retail, in particular the use of object detection and segmentation for inventory management.

For the CEE department, I have collaborated in research involving human detection and counting in indoor environments (classrooms, offices). In this project,  RGB-D cameras (Kinect and Intel RealSense) are used to capture depth information that later on is used to perform human detection and counting using convolutional neural networks. The occupancy information is then used to control heating and ventilation systems in order to improve building energy usage.

  • Python

  • Keras - TensorFlow

  • R

  • Web Data Extraction

  • C/C++

  • SQL


  • LaTeX