• Experience in Statistical Learning: - Predictive & Prescriptive Analytics, Web Analytics, Parametric and Non-parametric models, Regression, Time Series, Dynamic/Causal Model, Statistical Learning, Guided Decisions, Topic Modeling
• Experience in Machine Learning, supervised and unsupervised: - Forecasting, Classification, Data/Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms, Random Forest, Search Algorithms, Neural Networks, Deep Learning Algorithms
• Lead role mentoring junior statistical analysts on approach and results.
• Experience with big data analytics and advanced data mining techniques to analyze data
• Experience with identifying trends, patterns, and outliers in data
- Experience with statistical programming languages, analytical packages/libraries (R, Python)
- Experience with statistical tools (R studio, Revolution R, Python notebooks)