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dimasjackson/README.md

Dimas Jackson, M. S.

Hello! I'm a Data Engineer at @Mackenzie and a PhD candidate at São Paulo State University. I look for innovative solutions in data storage and processing such as the Semantic Web technologies (Knowledge Graphs, SPARQL, RDF, Wikibase). Simultaneously, I design workflows for Extracting, Transforming and Loading data (ETL) using PL/SQL (PostgreSQL and MSSQL Server), Python programming and the low-code KNIME Analytics tool. I also have experience with Machine Learning and Power BI interactive dashboards to transform data into insights!

💻📊 📈

Portfolio

My portfolio link!

Languages and Tools:

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Certifications

IBM Data Science Professional Certification (v2), 2023.
Demonstrated ability to solve real-world problems, apply Data Science methodology, create Python apps, access relational databases using SQL, generate data visualizations, construct & evaluate Machine Learning (ML) models using Scikit-learn.

Kaggle Intermediate Machine Learning Certification, 2022.
The topics covered in this course are: dealing with missing values, Categorical variables, pipelines, cross-validation, XG Boost and Data Leakage.

Find me in Linkedin!

Pinned Loading

  1. langchain-wikibase-agent langchain-wikibase-agent Public

    Forked from donaldziff/langchain-wikibase

    Jupyter Notebook 1

  2. Enterprise-Service-Bus-functions Enterprise-Service-Bus-functions Public

    Functions and storage procedures for an Enterprise Service Bus - ESB interface to a relational database.

  3. RAG-with-Gemini-Pro RAG-with-Gemini-Pro Public

    Questions and answers with your data using Google Gemini-Pro and Retrieval Augmented Generation (RAG)

    Python

  4. Brazilian-Denominational-Schools-Analysis Brazilian-Denominational-Schools-Analysis Public

    This project analyzed data from the 2021/2022 school census in Brazil to identify and describe evangelical schools.

  5. Supernovae-Analysis-with-MCMC Supernovae-Analysis-with-MCMC Public

    Data analysis of 1701 supernovae distances to estimate cosmological parameters using Markov Chain Monte Carlo

    Jupyter Notebook 7 1

  6. Logistic-Regression-Clearly-Explained Logistic-Regression-Clearly-Explained Public

    I built a logistic regression model from scratch and compared it to the default implementation in scikit-learn.

    Jupyter Notebook