• Data Scientist with 9+ years of experience executing data-driven solutions with adept knowledge on Data Analytics, Text Mining, Machine Learning (ML), Predictive Modelling, and Natural Language Processing (NLP).• Expertise in Python Machine Learning/Deep Learning Modeling for multiple data science projects of full data science production cycle using various Python libraries NumPy, Pandas, matplotlib, Sklearn, Beautiful soup, Pyecharts, PySpark, SparkSQL, OpenCV, TensorFlow and Keras.• Experienced in python data manipulation for loading and extraction as well as with python libraries such as NumPy, SciPy and Pandas for data analysis and numerical computations• Experience in Text Analytics, generating data visualizations using R, Python and creating dashboards using tools like Tableau.• Expertise in leveraging the Exploratory Data Analysis (EDA) with all numerical computations and by plotting all kinds of relevant visualizations to do feature engineering and to get feature importance.• Hands on experience of statistical modeling techniques such as: linear regression, Lasso regression, logistic regression, elastic net, ANOVA, Monte Carlo methods, factor analysis, clustering analysis, principle component analysis and Bayesian inference.• Good knowledge on Amazon Web Services (AWS) AmazonSageMaker, AmazonS3 for machine learning.• Understanding of Data Warehousing principles like Fact Tables, Dimensional Tables, Dimensional Data modelling - Star Schema and Snow Flake Schema.• Proficient in Data Analysis with sound knowledge in extraction of data from various database sources like MySQL, MSSQL, Oracle, Teradata and other database systems.• Experience in using GIT Version Control System. • Good analytical, problem solving, communication and interpersonal skills, with ability to interact with individuals at all.