Имеется собственный автомобиль

Права категории B, C

Skilled and motivated Data Scientist in the fields of business intelligence, industrial safety of power equipment, structural, thermal and reliability analysis. I combine my technical skills in numerical analysis with project management in data analysis and predictive modeling in business analytics. Successful team leader focused on taking project ownership and driving meaningful and beneficial results in business. Award winner of the "Top 100 scientists of the State Corporation Rosatom 2011". Open source Projects (customer’s churn analysis, data analysis of credit scoring based on bank clients’ credit history and A/B testing) GitHub: https://github.com/fsv20/ML-DA-Coursera-Yandex-MIPT_FotinSV/ • 6+ years’ experience in designing and developing data mining / analytics solutions, data centric integration developing and maintaining Industrial and Business analytics. • Adept in data query, data migration, data analysis, predictive modeling, machine learning, data mining and data visualization, implementation with extensive use of Python (NumPy, SciPy, Pandas, scikit-learn, TensorFlow, matplotlib), R (Caret, Weka, ggplot and ggplot2), Anaconda Cloud, Jupyter Notebook, Hadoop with Spark. • Experience in predictive analytic procedures used in supervised learning (Classification, Regression, Decision trees, Random forest, SVM, Natural Network), unsupervised learning (Clustering-k-Means and PCA), and reinforcement learning. I am able to keep deadlines successfully and prioritize tasks; able to work independently with little or no supervision; adapt well to new situations; have good communication skills, planning skills and multitasking. I have an optimistic, proactive approach and am quality-oriented. I am well-organized and versatile. I have a stable work history and am a fast learner, who enjoys learning new things. I am reliable and a result-oriented team player who shares knowledge and ideas with colleagues.