I am a data scientist interested in distribution, storage, and efficient use of energy. Core competencies: ♦ Programming: Python, SQL, Pig/Hive ♦ Data Analysis: R, Pandas, Numpy, Scipy, Sckit-learn, High-performance-computing, Vi, Unix/Linux, ♦ Visualization: Tableau, IPython Notebook, Bokeh, Matplotlib, LaTeX ♦ Predictive Modeling: Supervised and Unsupervised Machine Learning, Pattern Mining, Monte Carlo, Simulated Annealing, Descriptive and Inferential Statistics, Recommender Systems

Senior Data Scientist @ From June 2015 to Present (7 months) Postdoctoral Fellow @ ♦ Implemented Markov chain Monte Carlo code to study cation distribution and discovered entropy-driven clustering in disordered materials (research recognized at the Materials Research Society Meeting in San Francisco). ♦ Data-mined 30,000 enthalpies of formation using machine learning (kernel ridge regression, support vector regression, random forest) and achieved a level of precision two times higher than previously recorded. From May 2012 to May 2015 (3 years 1 month) PHD Fellow @ ♦ Identified a systematic error of widely used density functional theory in describing polaronic charge transfer barrier height (research recognized by the editors of Physical Review B: Rapid Communications). ♦ Solved the origin of optical absorption of photo-excited TiO2 using an inter-polaronic model implemented in Python. From January 2009 to February 2012 (3 years 2 months) MSc Student @ ♦ Studied interfacial Li storage in Metal/Li2O systems using computer simulations From 2008 to 2008 (less than a year) Internship @ ♦ Measured and simulated Raman spectra of Li-calixarene system From 2007 to 2007 (less than a year)

Doctor of Philosophy (PhD), Physics @ Technical University of Denmark From 2008 to 2012 Master of Science (MSc), Materials Science @ Université de Picardie Jules Verne (Amiens) From 2006 to 2008 Master of Science (MSc), Materials Science @ Université de Provence (Aix-Marseille I) From 2006 to 2008 Master of Science (MSc), Materials Chemistry @ Warsaw University of Technology From 2003 to 2008 Coursera Pawel Zawadzki is skilled in: Mathematical Modeling, Scientific Computing, Materials Science, Nanomaterials, Nanotechnology, Physics, Python, Science, Data Analysis