I am an enterprising young professional, keenly interested in Data Analytics, who wants to be developed as a data scientist. I am goal-oriented, determined, enthusiastic, and a workaholic.Data Science toolset proficiency: Python, Pandas, Numpy Visualization | SQL: Window functions, CTEs, Multiple Joins, Subqueries | Machine Learning: Sklearn, XGboost, LightGBM, Random Forest, Linear & Logistic Regression, Decision Tree, SVM, Stacking, Bagging, GridSearchCV, K-Means, Agglomerative Clustering, | NLP Basics | Dimensionality Reduction: PCA, LDA | BI: TableauCore Competencies: Predictive Analytics, Exploratory Data Analysis, Data Visualization, Clustering, Segmentation, Inferential Statistics, Time Series Forecasting, Retail Analytics, Financial Analytics, Optimization Techniques.