Daniel Querales

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AutoML: Automated Machine Learning Workflow

March 16, 2023 Daniel Querales

An automated machine learning workflow for explore, training and export models in a Web App.

  • Open Web App
  • Machine Learning
  • Workflow
  • Web App

Web APP deployment: Text Classifier for Sentiment Analysis

March 30, 2022 Daniel Querales

A text classifier machine learning model for sentiment analysis of movies reviews implemented in a Web App.

  • Open Web App
  • Machine Learning
  • Text Sentiment
  • Web App

Data Analysis: Sales from an Electronic Store

January 30, 2022 Daniel Querales

A data analysis project of the sales dataset from an electronic store using tools like Python and Flourish.

  • Continue Reading
  • Data Analysis
  • Data Visualization
  • business intelligence

Machine Learning: Predicting Stock Prices with Linear Regression

January 19, 2022 Daniel Querales

A machine learning project to predict Tesla (TSLA) stock prices using Python libraries.

  • Continue Reading
  • Machine Learning
  • Time-series
  • Linear Regression

Data Exploration: Two years of COVID

January 2, 2022 Daniel Querales

A data exploration project of the COVID-19 dataset using tools like SQL and Tableau.

  • Continue Reading
  • Data Exploration
  • SQL
  • Tableau
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Daniel Querales

Electrical Engineer | Data Scientist

View my Resume

My GitHub Repository - DataScience

  • AutoML: Automated Machine Learning Workflow

    March 16, 2023
  • Web APP deployment: Text Classifier for Sentiment Analysis

    March 30, 2022
  • Data Analysis: Sales from an Electronic Store

    January 30, 2022
  • Machine Learning: Predicting Stock Prices with Linear Regression

    January 19, 2022
  • Data Exploration: Two years of COVID

    January 02, 2022

About me

Electrical Engineer with Data Science expertise. Proficient in R, Python, and SQL. Experienced in all stages of the machine learning lifecycle, including data cleaning and processing to model deployment and monitoring. Knowledge of continuous integration and continuous delivery (CI/CD), version control with Git, and cloud computing platforms like Azure, GCP, and AWS.

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© 2023 Daniel Querales. Design: HTML5 UP. Images: Unsplash.