Extensive international experience as Data Scientist in various industries. More than ten years of experience in machine learning and predictive modeling with applications to marketing in telecommunications, consumer goods, people analytics and scientific researches. Proven track record in statistical model building and execution with focus on customer satisfaction, revenue generation, cost reduction and operational improvement. Proficient and extensive statistical programming and Business Intelligence using SAS, SPSS, R, KXEN, Tableau and SQL. Knowledgeable in database systems and data warehouse appliances like Oracle, Netezza, and Redshift. Led Predictive Modeling for Marketing Analytics talents for five years and gained recognition from projects and marketing campaigns launched and managed. Applied conspicuous and strategic insighting from massive data using out-of-the box and creative model algorithms. Comprehensive verbal and written analytical and problem solving, training and presentation skills and proven history of explaining complex analysis and concepts. Passionate in leveraging predictive modeling algorithms and methodologies, driving business performance and improving customer experience. Creative visualization of summarized data.
Published papers in several international journals and acknowledged internationally the contributions to agricultural and social researches.
Expecting certification in R and Python programming languages by end of December 2016.