A Data Science professional with a demonstrated history of working in the Information Technology and services industry. I'm a self-driven, consistent, quick learner, motivated individual with a strong passion for learning new cutting-edge technologies. Experience using statistical computer languages (Python and SQL) to manipulate data and draw insights from large data sets, and at creating robust Machine Learning models for predictive modeling, forecasting via. data analytics and data-driven methods to solve complex business problems. Categorizing and visualizing the insights in assistance with Tableau and Microsoft Power BI dashboarding. Spectrum of Skillsets: • Data Analysis, provide insights and necessary recommendations. • Data processing - Extract, clean and join data from various data sources; performing exploratory data analysis (EDA). • Data mining techniques such as Principal Component Analysis (PCA), Association Rules, Recommendation system and Cluster Analysis. • Implement Hypothesis Testing, P value analysis, A/B Testing, Cross Validation to find the best model for prediction. • Skilled in applying Machine Learning algorithms such as Linear & Logistic Regression, Decision Trees, Random Forest, Naïve Bayes, SVM, Classification, K-Means Clustering, KNN, XGBM, Statistical Techniques. • Acquainted with Deep Learning - Neural Network, Feed forward propagation, Back propagation algorithm, ANN, CNN, RNN, LSTM. • Exposure to Hadoop Ecosystem - HDFS, MapR, Hive, Flume, Sqoop and Spark. • Domain knowledge: Healthcare, BFSI, and E-Commerce.