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dankkom/README.md

About me

GitHub followers LinkedIn ORCID logo 0000-0002-8086-3636


Economist and Data Scientist 📊🚀

With a solid foundation in Economics and a passion for data, I transform information into strategic insights to drive businesses forward. My experience spans various areas of data science, from collection and processing to analysis and visualization, always focused on generating value and supporting decision-making.

Data Skills:

  • Extraction: Proficiency in web scraping and API techniques for efficient data collection from diverse sources.
  • Manipulation: Expertise in data processing, cleaning, and transformation (data wrangling) using Python (pandas) and R (tidyverse), with a focus on large public databases (RAIS, CAGED, INMET-BDMEP, CNPJ, DATASUS, SNIS).
  • Modeling: Creation of dimensional models for BI and relational database modeling to ensure data integrity and organization.
  • Visualization: Creation of impactful charts and informative maps using Python (matplotlib, seaborn), R (ggplot2), QGIS, and kepler.gl, as well as interactive dashboards in Power BI with DAX.
  • Advanced Excel: Extensive knowledge of Excel for ad hoc analysis and quick visualizations.

IT Skills:

  • Programming: Proficiency in Python (OOP, functional) and experience developing web applications with Flask and Shiny (R).
  • Web: Knowledge of HTML, CSS, and JavaScript for customization and integration of solutions.
  • Infrastructure: Familiarity with Docker for creating development and deployment environments, as well as experience with Linux systems (Debian/Ubuntu).
  • ETL/ELT Pipelines: Development of custom pipelines in Python for automating data processes.
  • Databases: PostgreSQL administration and knowledge of data modeling to ensure the efficiency and performance of solutions.
  • Website Creation: Use of Hugo for developing static websites to present results and portfolios.

Communication:

  • Technical Reports and Texts: Ability to communicate results clearly and concisely, both to technical and non-technical audiences.

Seeking new opportunities to apply my skills and knowledge in challenging and innovative projects.

Let's connect and explore how I can add value to your organization! 🤝

Connect with me:

[GitHub] [LinkedIn] [Twitter]

My ORCID: [0000-0002-8086-3636]

My CV Lattes: http://lattes.cnpq.br/4839987313912355


Professional Experience

(2022-02 : present) Data Scientist at Pezco Economics
São Paulo, Brazil

  • Developing data processing and analysis routines to support the production of technical reports and policy recommendations.
  • Creating interactive dashboards to visualize data and facilitate the understanding of complex information.
  • Participating in the development of projects and studies to support the decision-making of public and private agents in the infrastructure sector.
  • Contributing to the dissemination of knowledge through the publication of articles and technical notes.

(2018-02 : 2022-01) Technical Advisor at Instituto de Economia Agrícola (IEA)
São Paulo, Brazil

  • Developing data processing and analysis routines to support the production of technical reports and policy recommendations.
  • Creating interactive dashboards to visualize data and facilitate the understanding of complex information.
  • Collaborating with researchers and technicians to improve the quality and relevance of the Institute's publications.
  • Participating in the development of projects and studies to support the decision-making of public and private agents in the agricultural sector.
  • Contributing to the dissemination of knowledge through the publication of technical notes.
  • Supporting the organization of events and seminars to promote the exchange of experiences and the dissemination of research results.

(2016-02 : 2018-01) Intern at Instituto de Economia Agrícola (IEA)
São Paulo, Brazil

  • Data collection and processing of agricultural statistics from the Institute's databases.
  • Data visualization and analysis of production and prices of agricultural products in São Paulo state.
  • Helping to develop technical reports of the agricultural sector.
  • Supporting the organization of events and seminars to promote the exchange of experiences and the dissemination of research results.

Education

Specialization in Data Science and Analytics (2023-11 : 2025-05 ongoing)

Bachelor’s degree in Economics (2015-2018)

Courses & Certifications:

Course name Institution
O Poder da Macroeconomia: princípios da economia no mundo real (em Português) University of California, Irvine
The Data Scientist’s Toolbox Johns Hopkins University
Exploratory Data Analysis Johns Hopkins University
R Programming Johns Hopkins University
Reproducible Research Johns Hopkins University
Getting and Cleaning Data Johns Hopkins University
Welcome to Game Theory The University of Tokyo
Modernizing Data Lakes and Data Warehouses with GCP Google Cloud

Skills/Tools

Python Programming Language pandas Jupyter Flask R Programming Language PostgreSQL SQLite VS Code Sublime Text Neovim Google Analytics Google Earth Inkscape Blender 3D FFmpeg

Pinned Loading

  1. datasus-fetcher datasus-fetcher Public

    DATASUS data files downloader

    Python 1

  2. comexdown comexdown Public

    A commandline utility to download Brazil's foreign trade data

    Python