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Hello there πŸ‘‹

Hi! I'm Maico. I'm an analytics professional with a mix of operations experience, data science training, and economics background. As a career-shifter, I am able to look at different improvement opportunities across industries - leveraging in the use of data - and help companies generate an analytics plan that improves their process efficiency and cost savings.

My professional interests focus on analytics plan deployment, data analysis, insights generation, dashboarding, and machine learning.

πŸ“š Projects

Welcome to my portfolio! Here are some projects I worked on covering Python, SQL, Power BI, and Tableau.

πŸ› οΈ Tools

  • Language: SQL, Python
  • Visualization: Power BI, Tableau
  • Spreadsheets: MS Excel

Maico Rebong's Projects

analyzing-international-debt-statistics icon analyzing-international-debt-statistics

Focuses on analyzing international debt data from The World Bank, examining the total debt, identifying the highest debtor and their amount, and calculating the average debt across various indicators. The dataset includes debt information from developing countries worldwide from 1970 to 2015.

analyzing-world-happiness-report-2019 icon analyzing-world-happiness-report-2019

The World Happiness Report measures the overall state of global happiness by factoring in each country's status in economy, health, social support, government trust, etc. and ranks the countries by how happy their citizens perceive themselves to be. Since it covers different factors, it can be a useful guide to measure policy effectiveness and good governance and assess the quality of life among countries. In this project, we explore and visualize the distribution of happiness scores among countries, identify strong determinants and relationship of factors to one another, and apply ML Linear Regression to test the model used for the report. Here is the link to the slide pack used: https://drive.google.com/file/d/15q6585HzYGlcFx3PbSPpw5spmRCw_Ozx/view?usp=sharing Proponents of the project are Janine Cheong, Raymund Norada, Karen Salas, and Maico Rebong. This final project serves as a requirement in our Diploma Course in Foundations in Data Science under DLSU. This study was awarded Best in Data Analysis among the thirteen presentations.

mysql icon mysql

MySQL Resourses✨and Handy Commands to ace the coding interview! 😎

superbowl-tv-halftime-shows-and-the-big-game icon superbowl-tv-halftime-shows-and-the-big-game

Datacamp project to practice loading, cleaning, and exploring Super Bowl data specifically about ads and performances for halftime shows. The data for this project was scraped and polished from Wikipedia.

the-android-app-market-on-google-play icon the-android-app-market-on-google-play

Datacamp project to practice data manipulation, data visualization, and probability & statistics. The data for this project was scraped from the Google Play website.

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