Sitraka

Intro

My name is Sitraka FORLER, I'm french and currently trying to improve my coding skills. By the way, check out my awesome work.

This page is a showcase, but it's not the only website I'm working on. My 'main' website is here .

Work

Sitraka has worked as an Experienced Consultant in the Data & Digital Transformation branch of Initio Luxembourg (Square Management) since October 2022. In this role, he has improved processes and written specifications, and has automated various workflows to save time for employees. Sitraka has designed and developed test automation scripts for front-end and back-end testing and has created and developed a test automation framework and test data. He has also integrated automated testing into CI/CD pipelines and has integrated manual and automated testing into Quality Assurance practices to follow the Compliance Department's instructions. Sitraka has strong expertise in databases, computer science, programming in Python, Microsoft Azure, Machine Learning Operations (MLOps), and Automation of Robotic Processes (APR).

Prior to this role, Sitraka worked as a Data Scientist - Web Quality Specialist at VirtualExpo Group from March 2021 to September 2022. During this 1 year and 7 months, he applied NLP to product descriptions on VE's websites using Python (Keras, Tensorflow & Hugging Face), analyzed web traffic KPI using HeidiSQL, Python, and Excel, and implemented predictive models for the sales department. He collaborated with the quality team to perform audits on various projects and addressed quality issues by identifying, analyzing, and resolving anomalies, deviations, and non-conformities. He set up indicators and dashboards to monitor progress and participated in writing procedures (both internal and outsourcing). Sitraka has expertise in databases, computer science, Python, cybersecurity, and Git.

Code

🐍 Python3 - data, machine learning and deep learning packages
CodingGames competitor profile (rank to improve!)
Data Cleanning: from data labelling of dataset to inference prediction in the cloud
Optical Character Recognition: Textract API
Natural Language Processing: documents classification
Building a Machine Learning management pipeline to control training processes

💻 DataScience and MachineLearning
In my work experiences, I drive and facilitate the developement and production of ML models in Assets Management, Automation and data insights.
The main target is always to answer: does it bring value to customer ? does it bring value to the planet 🌍 ?
Main Packages used: pandas, scikitlearn, tensorflow, keras, streamlit

Contact

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• GitHub

Elements

i = 0;

while (!deck.isInOrder()) {
    print 'Iteration ' + i;
    deck.shuffle();
    i++;
}

print 'It took ' + i + ' iterations to sort the deck.';