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Salama eh, Laba diena, Hello ! 👋

I'm Harrylepap, a passionate Product Manager dedicated to shaping the future of payments in Africa. My journey started as a developer, but I've since transitioned to the world of product management with a focus on creating innovative payment solutions.

🚀 Here's a bit about me:

  • 💼 Product Manager with a Payment Systems Focus
  • 🌍 Bridging the Gap in African FinTech
  • 📊 Crafting Seamless Payment Experiences

🔧 What I do:

  • 🌟 Designing and developing cutting-edge payment systems.
  • 🚀 Exploring new frontiers in African FinTech.
  • 🌐 Bridging the gap between technology and financial inclusion.

🌱 As an advocate for financial empowerment and technological advancement in Africa, I'm passionate about creating solutions that make a positive impact on people's lives. While my coding days are behind me, I continue to collaborate with tech teams to bring transformative products to life.

📫 Feel free to connect with me on LinkedIn to discuss exciting opportunities, share insights, or explore collaborations in the dynamic world of African payments.

Let's innovate and drive change together! 🌍💡

Bako Harry Rakotondratompo's Projects

donnee1 icon donnee1

Un fichier de configuration docker-compose pour vos environnements PostgreSQL et pgadmin

harrylepap icon harrylepap

Repository pour la configuration de mon profil sur github

methode-gauss icon methode-gauss

La méthode du pivot de Gauss est une méthode pour transformer un système en un autre système équivalent (ayant les mêmes solutions) qui est triangulaire et est donc facile à résoudre

naivebayesclassifier icon naivebayesclassifier

Naive Bayes Classifier est un algorithme populaire en Machine Learning. C’est un algorithme du Supervised Learning utilisé pour la classification. Il est particulièrement utile pour les problématiques de classification de texte. Un exemple d’utilisation du Naive Bayes est celui du filtre anti-spam.

python-mg icon python-mg

Des challenges pour s'initier au langage de programmation python

regression-polynomiale icon regression-polynomiale

L’intérêt de la régression polynomiale est de pouvoir introduire de la non-linéarité dans l’analyse prédictive. La régression polynomiale permet de trouver une fonction de prédiction adéquate pour des données qui ne semblent pas avoir une relation linéaire.

sys1 icon sys1

Un fichier de configuration docker-compose pour commencer à utiliser Debian sur Docker afin de suivre les cours proprement

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