Experienced Data Scientist/Machine Learning Scientist with 10 years of Professional Industry Experience with Master's degree in Applied Mathematics. Delivered a novel Machine Learning and AI solution. Interested in Data Analysis, Data Science, Data Visualization, Big Data Management, Natural Language Processing (NLP), Deep Learning, Statistical Analysis, Statistical Modeling, Predictive Analytics, Sentiment Analysis, Text Mining, Quantitative Analysis, Risk Analysis and Management, Survival Analysis, Catastrophe Modeling, Model Validation, Machine Learning, and Time Series and Forecasting. Program/Tool knowledge in LaTeX, Microsoft Acess, Hadoop, Maple, Minitab, Microsoft Excel, Esri, Plotly, Python, SAS, Shiny, SpaCy, Microsoft SQL server, SQL Management Studio, Teradata SQL, Oracle SQL developer, Microsoft MapPoint, Microsoft Power BI, R , R Studio, H2O, H2O Driveless AI, Jupyter notebook/lab, Google Colab, Snowflake and TableauAnalytic knowledge in Regression Analysis (Survival Analysis, Multivariate Regression, Non-Parametric Analysis, Categorical Data Analysis and Logistic Regression); Correlation Analysis; Cluster analysis; Time Series Analysis; Trend Analysis; Principal Component Analysis (PCA); Bayesian analysis (Linear Discriminant Analysis (LDA)); NLP (Natural Language Processing) and Information Retrieval & Association and Classification (Random Forest, Bag of Words, Apriori, CART (Classification And Regression Trees), N-gram, Sentiment Analysis, Cosine Similarity, CBA (Classification based on Association), Markov Chain, Term Frequency and Inverse Document Frequency (TF-IDF), word2vec, doc2vec, and Word Cloud); Monte Carlo simulation; Web Analytics (Text Mining and Social Media Analysis), Machine Learning (XGboost, Gradient boosting, Random Forest, Catboost)Education: Master of Science in Applied MathematicsBachelor of Science in General MathematicsPassed Actuarial Exam P/1, Probability Theory