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Vincent B.VB

Vincent B.

Designer Web et Shopify | Développeur Python | ML

€200/day
Nantes, FR
3-7 years

Average response time: 1 hour

About Vincent

Je suis un développeur sur la platform Shopify et Ingénieur Machine Learning. Après 3 ans d'experience dans divers projets de programation dans ces deux domaines, j'ai décider de devenir Expert Shopify a plein temps. J'ai aussi récement décider de me lancer sur Malt (ce qui explique mon tarif attractif pour l'instant).

Je vous aiderais dans les tâches suivantes :
✍️Créer une boutique en ligne unique
🛍️Migrer de maniere fluide de votre ancienne platforme (WordPress, BigCommerce, Wix, etc..) vers Shopify
🎨Personnaliser votre thème jusqu'à ce qu'il corresponde à vos besoins
🪄Ajouter des fonctionnalités complexes et sur-mesure à votre boutique.

Si vous avez besoin de mes services, planifions un appel et parlons-en. (ps : c'est gratuit)

Hâte de travailler avec vous et de vous aider dans la réussite de votre business!
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Nantes (up to 50km), Paris (up to 30km), Rennes (up to 50km), Bordeaux (up to 30km)

Experience

  • Imperial College London
    Research project - Student Developer
    MECHANICAL ENGINEERING
    October 2021 - October 2022 (1 year)
    Londres, United Kingdom
    Appliquer des techniques de Machine-Learning/AI guidées par la physique, notamment le Lagrangian Neural Network, pour modéliser les non-linéarités structurelles.

    Mots clés : Lagrangian Neural Network, Python, MatLab, Google JAX, Numpy.
    Python Google Jax React.js Numpy Matlab Web Neural Networks Machine learning
  • Personel
    Machine Learning and Quantitative Finance python based projects.
    EDUCATION AND E-LEARNING
    January 2021 - Today (5 years and 5 months)
    Londres, United Kingdom

    ▪ Markowitz Portfolio optimization: Implemented Markowitz portfolio optimization to diversify and select high-performing stocks from different sectors, prioritizing higher Sharpe ratios for optimized risk-adjusted returns and portfolio performance.

    ▪ Arima model for predicting bitcoin returns: Utilized ARIMA model to predict Bitcoin returns by analyzing
    Autocorrelation and Partial Autocorrelation of BTC, training the model, and forecasting future returns over a 10-day period.

    ▪ LSTM model for predicting bitcoin volatility: Developed LSTM model to predict BTC returns by capturing
    sequential data patterns and dependencies, enabling arguably accurate forecasting.

    ▪ Banglore real estate price prediction: Created a website using HTML, CSS, and JS, and built a linear regression model for price prediction.

    ▪ Real-time mask detection: Implemented computer vision techniques using TensorFlow and OpenCV for real-time mask detection.

    ▪ Tweet emotion recognition model: Developed an NLP emotion recognition model using Keras and RNN,
    evaluating model performance with a Confusion Matrix.
    RNN LSTM Etudes quantitatives Python HTML/CSS CSS3 React.js Data visualisation Visual Studio Code

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Education

  • Diplôme d'ingenieur - MSc Advanced Mechanical Engineering and Machine Learning
    Imperial College London
    2022
    ▪ University ranking: 6th in the world [QS 2023] ▪ Relevant coursework: Machine Learning, Web, Advanced Mathematics, Optimization Algorithms, CFD, Finite Element Analysis.
  • Diplôme d'ingénieur - MEng Engineering and computer science
    Arts et Métiers Paritech | ENSAM
    2021
    ▪ First Semester rank: 1st/1244 of engineering students. ▪ Relevant coursework: Statistics, Advanced Mathematics and algorithms, Object-Oriented Programming, Data Structures, Fluid Dynamics, Finite Elements, Management.

Certifications

Skill set (31)

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