About
👋 Hello! I'm Julien, a Machine Learning Researcher with a rich 5-year career in various tech roles. At PEPITe, I specialize in anomaly detection using cutting-edge ML and deep learning technologies. What differentiates my approach is not just detecting anomalies but diving deep to explain the 'why' and 'how' behind them. This emphasis on explainability aims to demystify the 'black box' of machine learning algorithms, creating a bridge between robust predictive power and transparent reasoning.
- All
- Project
- Technology
- Client
Numpy
Technology
Pepite
Client
Capillary-Detector
Project
Invoice entity recognition
Project
Billy
Client
sentiment Analysis
Project
Pytorch
Technology
Hugging Face
Technology
Gambit finance Solution
Client
Services
As a data scientist, I use scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data, and provide services such as data collection and preprocessing, data exploration and visualization, machine learning, predictive modeling, data-driven decision making, and communication and presentation to stakeholders.
Data collection and preprocessing
I can collect and prepare data for analysis by collecting data from various sources, cleaning and formatting the data, and ensuring that it is ready for analysis.
Data exploration and visualization
I can explore and analyze data to identify patterns and trends, and create visualizations to communicate my findings.
Machine learning
I can use machine learning algorithms and techniques to build models that can make predictions or decisions based on data.
Predictive modeling
I can use statistical and machine learning techniques to build models that can predict future outcomes based on past data.
Data-driven decision making
I can use my technical skills and insights from data analysis to inform and support decision-making processes within an organization.
Communication and presentation
I can communicate my findings to stakeholders through reports, visualizations, and presentations, and provide recommendations based on my analysis.