• Professional qualified Data Scientist/Data Engineer/ Data Analyst with over 4+ years of experience in Data Science and Analytics including Deep Learning/Machine Learning, Data Mining and Statistical Analysis • Involved in the entire data science project life cycle and actively involved in all the phases including data extraction, data cleaning, statistical modeling and data visualization with large data sets of structured and unstructured data, created ER diagrams and schema. • Experienced with machine learning algorithm such as logistic regression, random forest, XG boost, KNN, SVM, neural network, linear regression, lasso regression and k - means • Strong skills in Mathematical and statistical methodologies. • Extensively worked on R, Python (NumPy, SciPy, Pandas, Matplotlib, NLTK, and theano, TensorFlow, Scikit-learn and MATLAB). • Experience in implementing data analysis with various analytic tools, such as Anaconda Jupiter Notebook, R (ggplot2, Caret, dplyr) and Excel. • Solid ability to write, tune and optimize SQL queries. Working knowledge of RDBMS like Oracle, MySQL, SQL Server and NoSQL databases like MongoDB and Cassandra. • Strong experience in Big Data technologies like Spark, SparkSQL, PySpark, Hadoop, HDFS, MapReduce and Hive. • Skilled in Advanced Regression Modeling, Correlation, Multivariate Analysis, Model Building, Business Intelligence tools and application of Statistical Concepts. • Proficient in Predictive Modeling, Data Mining Methods, Factor Analysis, ANOVA, Hypothetical testing, normal distribution and other advanced statistical and econometric techniques. • Developed predictive models using Decision Tree, Random Forest, Naïve Bayes, Logistic Regression, Social Network Analysis, Cluster Analysis, and Neural Networks. • Strong SQL programming skills, with experience in working with functions, packages and triggers. • Experienced in Data Integration Validation and Data Quality controls for ETL process and Data Warehousing. • 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.