Hello,
I am a data scientist who can collect data efficiently.
I worked on web scraping projects such as recipes, meteorological data, horse race results and time to start, and video game statistic scraping.
You need a freelancer to collect data and analyze it.
I can work with BeautifulSoup of Selenium to create a list of such data and categorize them according to your needs.
I worked on pressure ulcer detection, finding relevant functions to improve detection using a random forest algorithm, and on fatal heat reuse, where I processed data for industrial decisions using reinforcement learning.
I recently worked on a project to predict horse race results and obtained an accuracy of over 25 % of the predicted winners.
I know how to perform Fourier transform analysis, correlation, causality, regression, and variable importance computation, and create prediction or estimation algorithms.
For machine learning models, I am proficient with LSTMs, deep learning, random forest, gradient boosting, K-neighbors, and reinforcement learning models.
Depending on the result, I would identify the specificities of failed predictions to correct the models.
To correct the models, I would engineer new features, adjust hyperparameters, and train models specifically on difficult-to-predict data.
I look forward to working with you.
Regards,
Nicolas GILLARD.