Fascinated with numbers and passionate about using data science tools to create value and make an impact. Proficient in Data engineering, Data Analysis, Machine Learning, Data Visualization, and Marketing Analytics, skillsets include:• Programming: Python, R, STATA, SQL, Shell Scripting.• Big Data: Apache Hadoop, Hive, Spark, Cloudera, AWS.• Business Intelligence: Tableau, Power BI, Alteryx.• Statistics: Basic Statistics, Time Series, Hypothesis Testing, A/B Testing.• Machine Learning: Regression (Linear, Logistic), Instance-based (KNN, SVM), Regularization (Ridge, LASSO), Decision Tree, Bayesian (naïve Bayes, Gaussian), Clustering (K-Means, Hierarchical), Dimension Reduction (PCA, LDA, QDA), Ensemble (Boosting, Bagging, Stacking, GBM, GBT, Random Forest), NLP (Sentiment Analysis & Topic Modeling: LDA, SVM, naïve Bayes, TF-IDF, n-grams, BoW), Deep Learning (CNN, RNN) using TensorFlow.• Marketing Analytics Model: Conjoint Analysis, Backward Market Research, LTV Model, RFM Model, Churn Management, Next-Product-to-Buy Model, Customer Segmentation, Customer Journey Map, Generalized Bass Model, Scan Pro Model, Perceptual Mapping (Multi-dimensional Scaling and Attribute Rating Method), SEM, SEO, Marketing mix (4P, 4C), Paid Search Strategy, and Advertising Strategy.