• Professional qualified Data Scientist/Data Analyst with around 8+ years of experience in Data Science and Analytics including Data Mining , Deep Learning/Machine Learningand Statistical Analysis• Involved in the entire data science project life cycle and actively involved in all the phases including data cleaning, data extractionand datavisualization with large data sets of structured and unstructured data, creat-ed ER diagrams and schema. • Experienced with machine learning algorithm such as logistic regression, KNN, SVM, random forest, neu-ral network, linear regression, lasso regression and k-means• Implemented Bagging and Boosting to enhance the model performance. • Experience in implementing data analysis with various analytic tools, such as Anaconda 4.0 Jupiter Note-book 4.X, R 3.0 (ggplot2, , dplyr, Caret) and Excel• Solid ability to write and optimize diverse SQL queries, working knowledge of RDBMS like SQL Server 2008/2010/2012, NoSql databases like MongoDB 3.2• Passionate about gleaning insightful information from massive data assets and developing a culture of sound, data-driven decision making • Ability to maintain a fun, casual, professional and productive team atmospheres, Logistic Regression, Random Forest, So-cial Network Analysis, Cluster Analysis, and Neural Networks. • Experienced in Machine Learning and Statistical Analysis with Python Scikit-Learn. • Experienced in Python to manipulate data for data loading and extraction and worked with python libraries like Matplotlib, Scipy, Numpy and Pandas for data analysis. • Worked with complex applications such as R,R Shiny, SAS, Plotly, Matlab and SPSS to develop neural network, cluster analysis.• Proficient in Tableau and R-Shiny data visualization tools to analyze and obtain insights into large datasets, create visually powerful and actionable interactive reports and dashboards. • Automated recurring reports using SQL and Python and visualized them on BI platform like Tableau.