DOURTHE TECHNOLOGIES
DOURTHE TECHNOLOGIES
My name is Benjamin Dourthe. I am a passionate Researcher, Data Scientist and Machine Learning Engineer with over 10 years of multidisciplinary experience. I am passionate about learning, technology, entrepreneurship, puzzle-solving and using science and out-of-the-box thinking to make a difference in the world.
I grew up in France, where I graduated from a Master's in Mechanical Engineering and a Master of Science, Technology and Health back in 2013. Then, I studied and worked in Belgium for 3 years as a Research Engineer and graduated from a PhD in Biomedical Engineering and Data Science in 2017. Since then, I have been living and working in Canada.
My life-long objective is to constantly expand and diversify my skillset to build innovative and accessible technologies that will help push the bounderies of human knowledge and enhance our ability to use data to solve global and impactful challenges.
Over the years, I have acquired a solid programming knowledge by working with a wide variety of machine learning models and techniques, and developed an excellent command of Python and its data science and deep learning frameworks (e.g., NumPy, SciPy, Pandas, Sklearn, PyTorch, Tensorflow). As an experienced data scientist and machine learning engineer, I have an extended knowledge of how to extract/generate meaningful features from complex datasets, as well as optimizing their content using various dimensionality reduction techniques (e.g., clustering, feature engineering, principal component analysis). My international and multidisciplinary experiences in Europe, Canada, and the United States have also given me the ability to easily exchange knowledge and connect with people with different backgrounds, which consistently helped me improve my aptitude to think out-of-the box and resolve unseen challenges. I believe to be a creative thinker who is strongly committed to his passion and objectives. I also have demonstrated my ability to quickly learn and adapt to new fields of knowledge, teams and work environments.
In summary, I am a big dreamer who never walks away from a challenge and has the best intentions to contribute to the betterment of society.
CURRENT LOCATION: Palo Alto, CA, USA
Proficiency levels for different skills
Strong knowledge of Python programming language for data processing and analysis (numpy, pandas, scipy, statsmodels), visualization (matplotlib, seaborn), machine and deep learning (scikit-learn, tensorflow, keras) and computer vision (opencv)
Manage, process and analyse large data sets to extract meaningful, relevant and interpretable features
Ability to develop and implement supervised and unsupervised learning algorithms for classification and regression applications (linear and logistic regression, decision trees, random forest, support vector machines, k-means clustering, principal component analysis, recommender systems, natural language processing)
Ability to develop and implement neural network architectures for classification and regression on image and time series data (convolutional and recurrent neural network, autoencoders, generative adversarial network)
Apply image processing and transfer learning techniques to build computer vision applications (face detection, object tracking, flow mapping)
Extract features from time series signals (e.g. patterns and event detection, time and frequency analysis, forecasting)
Excelling in transforming complex information into clear and compelling visuals that facilitate understanding and drive data-driven decision-making
Knowledge of human physiology, biomechanical behaviors, biosignals and image processing, computer modeling and advanced data analysis and interpretation
Explore and build potential new features from datasets for advanced analytics and machine learning
Process text data for classification and text generation applications (tokenization, vectorization, TD-IDF)
Strong knowledge of Matlab programming language for computer modeling, data analysis and signal processing
Good knowledge of R programming language for statistical analysis
Practical experience performing basic SQL queries using PostgreSQL
Find and design intuitive and practical applications from complex paradigms
Write scientific publications, grants and ethics applications, industry reports, user operating manuals, abstracts for general audience
Ability to write HTML and JavaScript for Web Development (e.g. this website) and develop simple Mobile Apps in Java using Android Studio
Interested in collaborating?
The collection below represents a non-exhaustive summary of past projects.
Click/Tap on each thumbnail to preview the corresponding content, or follow the corresponding link for more details (e.g. Abstract, PubMed, GitHub)
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