Junior Data Science and Machine Learning Engineer, maybe the person you are looking for @JuanManuelCornejo
A Personal Machine Learning Project, using convolutional neural networks for tumour classification in MRI.
Specifically VGG16, VGG19 Inception V3 were selected. Three notebooks can be found, one with image pre-processing. Two of machine learning, one with ImageDataGenerator and one without. You can find the results in the link below and the notebooks in the other link.
Check the economic potential and the possibility of choosing your place of residence based on personal and non-work preferences. Contrasting the labour market situation, the change in purchasing power based on the place of residence, cost analysis of the real estate market.
Multidisciplinary project, As manager of the Data Science team, we implement a machine learning model for fish detection in production using CNN and AWS.When an MVP was released, in the estimated timeframe, the amount of images scraped for training was not sufficient and it was decided to reduce the requirements to obtain a better solution. You can find an article created by the UIX team explaining the overall project below.
JOBMadrid21 hackathon final project. My role as Data Science consisted of carrying out an exploratory analysis of the data, to make a predictive model of prices, to pass my predictions to the other verticals in a JSON so that they could verify the mean square error.
Python package to analyze datasets and plot the numerical and categorical features in a set of data quickly and efficientlyto facilitate fast and efficient pre-analysis of data. Project where I was manager of the data cleaning team.
The aim of this challenge is to develop a predictive model based on Random Forest, which allows us to know the type of eruptions according to sensor data on volcanic slopes.