Data Scientist passionate about working in multidisciplinary teams to solve cutting-edge problems and drive innovation. Skilled at communicating technical results to diverse audiences.
Programming: Python, C/C++, Qt, SQL, Linux, Distributed Computing, Mathematica.
Tools: Scikit-learn, NLTK, Gensim, Matplotlib, Pandas, Numpy, Jupyter, Flask, D3.js, LaTeX.
Machine/Statistical Learning: Logistic/Linear Regression, SVM, Neural Networks, K-Means, PCA, Hierarchical Bayes, NLP, Large-scale Monte Carlo Simulations, MLE, Bootstrap Resampling, Multivariate Stochastic Processes, Markov Chains, Undirected Graphical Models.