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Credit Card Transaction Fraud Detection App built using XGBoost, FastApi, Streamlit and Docker

Home Page: https://luissalazarsalinas-fraud-detection-fraud-detection-app-zvrvsp.streamlitapp.com/

License: Apache License 2.0

Dockerfile 0.02% Python 0.56% Jupyter Notebook 99.42%
data-science docker finance fraud-detection machine-learning python3 sklearn streamlit xgboost fastapi

fraud-detection's Introduction

Hi, I'm Luis Fernando Salazar Salinas 👋

I'm a Data Scientist and Data Engineer

LinkedIn example example

I work with data, designing and implementing scalable data architectures and developing applications based on data using tools such as Python and Scala programming languages, SQL, Machine and Deep learning frameworks, statistical models, and Cloud platforms(Microsoft Azure).

Cloud Certifications

Data Engineer Associate

Azure Data Engineer Associate

Tech Stack

Programming Languages

Python SQL Scala

Database Tools

Markdown Markdown Markdown Markdown

Data Manipulation and Visulization Tools

Numpy Pandas Matplotly Plotly

BI Tools

jetbrains

Machine Learning Tools

Tensor Scikit Keras

Big Data Tools

Hadoop HIVE KATKA Spark

DevOps and Backend Tools

git github Docker GitAction Linux FastApi OpenCV Streamlit

Cloud Platforms

AZURE Streamlit

Projects

fraud-detection's People

Contributors

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Watchers

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Forkers

u0733172

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