Career Summary:• Around 10+ years of cross-industry experience in ML/AI, Predictive Modeling, Statistical Modeling, Data Analytics, MLOps, and Business intelligence.• Strong expertise in programming/SQL using Python, R, SAS, MS SQL, ASW-Redshift, Cloudera- Hive/Impala, C++, MATLAB.• Extensive experience in model development process; data collection, data preprocessing, data transformation, feature generation and selection, segmentation, model selection, and communicating of model results.• Hand-on experience in ML/AI model design, development, validation, deployment, and performance review. • Profound understanding of ML/AI techniques; Regression, Clustering, Decision Tree, Classification, Neural Network, Deep Learning, NLP/Text mining, Time series forecasting, Optimization, etc. • Proven skills in creating excellent documentation, reports, visualization, and dashboards on business and functional requirements using Excel and Tableau.TECHNICAL SKILLSProgramming: Python (NumPy, Pandas, Matplotlib, Seaborn, Scikit-Learn, Tensorflow, Keras, etc.), R (ggplot2, dplyr, tidyr, etc.), SAS (Base, Macro), SQLSoftware and tools: AWS-Redshift/SageMaker/S3 Hadoop-Cloudera: Hive/Impala, SAS-EG/EM/Miner, MS SQL Server, Tableau,STATISTICAL KNOWLEDGEDescriptive Statistics, Inferential Statistics, Distribution Analysis, Outlier Analysis, Confidence Intervals, Hypothesis, Sampling, z-test, t-test, A/B testing, ANOVA, DOE, Six Sigma, Collinearity Diagnosis, Categorical Data Analysis. DATA MINING KNOWLEDGECRISP-DM/SEMMA, Logistic Regression, Segmentation, Clustering, Decision Tree, Neural Network, Deep Learning, Markov Network, Bayesian Network, Support Vector Machine (SVM), Survival Analysis, Time Series Forecasting Methods, NPL/Text mining, Optimization.