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Name: Vincent Le Goualher

Type: User

Company: ELCA

Bio: Data Engineering & Machine Learning Operations

Location: Switzerland

Blog: blog.vlgdata.io

Hello Internet! I am Vincent, a Software Engineer based in Switzerland. I have been focusing on Data Engineering and Machine Learning Operations (MLOps) over the past few years: data pipelines, CI/CD frameworks, workflow management, APIs..

So far, I have worked in several domains, namely public health, financial services and consumer electronics. I conducted a wide variety of projects involving tools like containers (e.g. Docker, Kubernetes), cloud providers (AWS, GCP), distributed computing (e.g. Spark), databases (e.g. Snowflake) and Machine Learning (e.g PyTorch, XGBoost, pandas, scikit-learn...). I use Linux shells, Git/GitHub, Python and SQL on a daily basis.

I created this GitHub account to archive projects and code that might be useful to other people, including future me. All the content is under MIT license. Feel free to use anything you may find interesting. You can find more digestible versions of most of these repositories on my blog, blog.vlgdata.io. I am also on LinkedIn.

Thanks for reading!

Links

Vincent Le Goualher's Projects

aircraft_classifier

This repo is the source of the web app built on the cloud platoform Heroku at:

algorithms_data_structures

Algorithms & Data Structures in Python

annotated_research_papers

This repo contains annotated research papers that I found really good and useful

anomaly_detection_lof

Anomaly detection using Local Outlier Factor / Isolation Forest with Python / R

asymmetric_loss

Implement a custom asymmetric loss to train and drive a regression model towards underestimation or overestimation

aws_data_engineering

AWS Certified Data Engineer - Associate

computer_vision

Computer vision projects with PyTorch and fast.ai.

datatrigger

My blog about data engineering and machine learning operations

interpretable_machine_learning

Getting explanations for predictions made by black box models.

kafka_stream_air_quality

Retrieving the air quality index of various cities through an HTTP API and generating a Kafka stream.

light_gradient_boosted_machine

Experiment with with Microsoft's LightGBM to predict the critical temperature of superconductors.

nlp_hugging_face

Text classification with the transformers library from Hugging Face, by fine-tuning DistilBERT or using summarization + Zero-Shot classification.

pandas_spark_training

python-sample-vscode-flask-tutorial

Sample code for the Flask tutorial in the VS Code documentation

scaling

How to properly split and scale a dataset using Python, Spark & R modules.

school_projects

Here are some projects I did during my master of science in statistics and data science at ISUP, Paris.

shiny_apps

Run the CLT Shiny app : https://datatrigger.shinyapps.io/CLT_Visualization/

snippets

stocks_backend

FastAPI backend to fetch stocks data

stocks_frontend

Frontend of stocks single-page application stocks.vlgdata.io

subtotals

Adding totals and subtotals rows with pandas / the tidyverse

sum_random_variables

Contour plots to answer this question: if the sum of two random variables is large, are they likely to be both large ?

unlimited-translation_docker_swarm

A translation service (German to English) with no character limit.

unlimited-translation_kubernetes

Deploying our multi-container app unlimited-translation to a GKE cluster

unlimited_translation-backend

Source of the Docker image for the API backend of the unlimited-translation app

unlimited_translation-frontend-k8s

Source code of a translation app's Flask frontend microservice

unlimited_translation-frontend-swarm

Source code of the Docker image for the unlimited-translation app frontend

weighted_random_forest_spark_3

Experiment with sample weights support added to random forest and a few other classifiers in Spark 3

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