Data Science Enthusiast, Passionate about Data Analysis, Data Visualization, Statistics, Machine-Learning with hands-on experience in Python, SQL , Tableau , & Power BIExpertise: • SQL – Presto , Hive , Postgress• Programming – Python• Statistics – Probability Distributions, Sampling Techniques, Theory of Estimation, Hypothesis Testing, Z-tests for Large Sample, T-test for small samples, Chi-square Test, Analysis of Variance (ANOVA), Post-Hoc test for Anova.• Machine Learning – MLOPSa) Supervised Learning: Linear Regression, Logistic Regression, K Nearest Neighbour, Naïve Bayes,Decision Tree, Ensemble models (Random Forest, Adaboost, Gradient Boosting, XGBoost, LightGBM).b) Unsupervised Learning: K-Means Clustering, Hierarchical Clustering, Principal Component Analysis, DBSCAN.• Visualization – Power BI, Tableau , Treasure Insights , AWS Quicksight• CDP Practice