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Hey,

I’m Jhon Vargas, a keen practitioner of Data Science and technical leader.

Normally life is very risky as any project itself, so we need to take the risk of decisions all day, every minute, every second. As much information we get about it, I think we can conduct a better decision and route our goals in the best way.

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My Latest Project

API as SQL container Template

( Real time dataset )

Techs: Real time data, databases, API Rest

Brief : The aim of the project is to create a container template where we can test SQL statements using MySQL server and publish in Tableau. With this we want to share a project which can be customized by others. Main point is to create API which any one can request.

2023

Churn Prediction for Fintech Data

( Compare classic models for churn prediction )

Techs: Supervised Learning, Statistics, KNN, SVM, GridSearchCV

Brief : The main idea of the project is to predict churn and which parameters is more relevant during analysis using classic supervised techniques like LR, DT, SVM, RF, KNN with the help of GridSearchCV.

2022

Car Plate Automatic Detection

( Compare ML models for car plate detection )

Techs: LBP, Computer Vision, Decision Tree, GridSearchCV

Brief : The main idea of the project is to automate the car plate detection using LBP algorithm. For this, we create dataset from raw data using a set of Computer Vision techniques.

2022

My Latest Research

Classification of pneumonia images using CCN

Abstract : Classification of pneumonia images using Convolutional neural network to indentify normal lung with or withour pneumonia.

Agent-based model of measurement of personal proteccion against the spread of the SARS-COVID-2

Abstract : After having presented several waves of spread of the COVID-19 (SARS-COV 2) pandemic, all countries of the world are struggling to regain their economy by slowly lifting restrictions on mobility and social distancing measures applied during the crisis. Numerous studies provide us with evidence convincing about how contact distancing, face mask use, and hand washing habits can reduce the risk of transmission of SARS-CoV-2. This work shows the research carried out on Agent-based models to simulate the spread of COVID-19 incorporating personal protection measures.

Speech recognition in real time for advertisements in audio streaming

Abstract : This research describes a project to classify audio signals captured from a streaming in real time. To carry out the signal processing, a file of approximately eight hours duration was obtained, which was divided into 3-second intervals, allowing to obtain the characteristics of the selected advertisements (slogans). A part of these files will be used as training data of the selected model and the other part for its validation. 28 attributes were initially selected using the spectrogram of the signal. Likewise, a classification neural network for multistate labels is modeled using the MLP Classifier algorithm and applying the softmax output activation function in the last layer.

Hello, I'm Jhon Vargas - a Data Scientist & Technical Lead

Curious. Self Learning. Proactive.