Skip to content
View thiagosequeira's full-sized avatar
0 followers · 4 following

Achievements

Achievement: YOLOAchievement: Pull Shark

Achievements

Achievement: YOLOAchievement: Pull Shark
Block or Report

Block or report thiagosequeira

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
thiagosequeira/README.md

Thiago Sequeira

Argentinian data professional, with 3+ years in dynamic data teams. Proficient in Python, SQL, and Power BI. Dedicated to optimizing data processes and extracting actionable insights from complex datasets. Motivated by the satisfaction of overcoming challenges.

  • Check out my website to see more about me.

Skills

Data Manipulation: Python Pandas PySpark Seaborn NumPy Matplotlib SQL

Tools and Platforms: Azure Databricks Jupyter Git

Visualization: Power BI Tableau

Others: Scrum Confluence Jira

Contact

For a quick response, DM me on LinkedIn.

Pinned Loading

  1. challenge-tecnico-ues21 challenge-tecnico-ues21 Public

    En este repositorio se encuentra el challenge técnico que tuve que realizar en la última etapa de la entrevista para el puesto de Data analyst en la Universidad Siglo 21.

    Jupyter Notebook

  2. challenge-avenu challenge-avenu Public

    Technical Challenge for Avenu Learning

  3. pyspark-bigdata pyspark-bigdata Public

    Data cleaning utilizando la biblioteca PySpark.

    Jupyter Notebook

  4. sql-queries sql-queries Public

    Queries SQL que he escrito para demostrar mi conocimiento y habilidades en el uso de la tecnología de bases de datos relacionales.

  5. credit-card-fraud-detection credit-card-fraud-detection Public

    Credit card Fraud Detection system using Machine Learning with Python. For this project, I've used the Logistic Regression model.

    Jupyter Notebook 1

  6. customer-segmentation customer-segmentation Public

    Proyecto de segmentación de clientes utilizando K-Means Clustering.

    Jupyter Notebook