A detailed oriented and industrious Data professional with remarkable analytical, logical skills and expertise in data preparation, data exploration, data analysis and predictive modeling using Python, R, SQL and data visualization tools. Moderate in developing various programs in different languages. Efficient in working at fast pace environment .Competencies: Machine Learning | Data ScienceProgramming Languages: Python(Pandas, Numpy, Tensorflow ,Keras, Scipy , Sklearn, OpenCV, Matplotlib), R .Machine learning: Supervised | Unsupervised | Deep LearningDatabases: MySQL | SQL Server | | MongoDB| | | CassandraTools: Tableau | Power BI | MS Project | Power Point | Share Point| Advance Excel | Google Analytics.Statistical Analysis: Clustering, Linear Regression, Logistic Regression, Dimension Reduction, Data Cleaning, Data Mining, supervised learning and unsupervised learning, Time Series, ggplot2, pivot tables,Market Basket Analysis, Random Forest, Decision Tree, SVM, Naïve Base, KNN, CNN, RNN,DNN.Strengths: Initiator | Team Player | Customer focused | Analytical