Nicolas Schlegel

Hey ! 👋

As an applied mathematics engineer from Ecole des Ponts, I offer you my skills in Data Science, Data Visualization, and Operations Research.

🔹 I always start with a thorough data analysis to detect potential biases.

🔹 I favor simple and explainable models before resorting to more sophisticated approaches.

🔹 I present results with clarity and pedagogical skill.

🔹 Data Retrieval: Website scraping (BeautifulSoup, Scrapy), API usage.

🔹 Data Processing: Data cleaning and processing with Python (Pandas, Numpy) or R (Tidyverse), SQL database manipulation.

🔹 Data Analysis, Prediction, and Classification: Building statistical models (Sklearn, XGBoost), training and fine-tuning deep learning models (TensorFlow, Keras, PyTorch).

🔹 Visualization Tool Creation: Generating Python web applications (Flask, Streamlit, Dash) or R (Shiny).

🔹 Configuration Management: Tracking work with Git.

🔹 Anomaly detection in animal behavior sensors: Real-time animal escape detection, visualization creation, PDF report export.

🔹 Microgrid battery control: Time series prediction of electricity demand and production, real-time optimal battery charge calculation, visualization dashboard production.

🔹 Goal arrival time prediction: Data preprocessing, and machine learning model training.

🔹 Airplane flight path planning using reinforcement learning.

Contact me today to discuss how I can help you!