About me

I am a data scientist with a strong background in science and math.

My data science toolset, developped through Galvanize's Data Science Immersive Program as well as DLab worshops at UC Berkeley, includes:

• Statistical learning (Hypothesis Testing, Model selection...)
• Supervised learning (Linear regression, Logistic regression, Tree-based methods, Support Vector Machine, Ensemble learners, Neural Nets ...)
• Unsupervised learning (PCA, Clustering...)
• Special topics (API/Web scraping, Natural Language Processing, Recommender Systems, Visualization...)
• Exposure to Big Data (AWS, Map Reduce, Spark)

See my GitHub account for sample projects

I have a solid research backround, with a PhD in chemistry/bio-chemistry (award from L'Oréal-UNESCO Foundation). I have consulting and management skills developped through an MBA program specifically designed for young researchers and engineers.