• Data Scientist with 4 years of experience in interpreting and Analyzing Data, in order to drive successful business solutions. Proficient knowledge in Statistics, mathematics and Analytics. Excellent knowledge in business operations and analytics tools for effective data Analytics.• Experience in analyzing data using Python, SQL, Microsoft Excel, Hive, PySpark, Spark SQL for Data Analytics, Data Cleansing, Data Munging and Machine Learning.• Extensive experience in Amazon Web Services (EC2, S3, Sage Maker).• Proficient in MySQL and NoSQL (MongoDB) databases with Python.• Experienced in working with various Python IDE's using PyCharm, Jupiter Notebook, Spyder, Visual Studio code.• Experience with Requests, NumPy, SciPy, Pandas, Python-Twitter, Matplotlib, HTTPLib2, Urllib2, Beautiful Soup, TensorFlow, Keras python libraries during development lifecycle.• Involved in Design, analysis, Implementation, Testing and support of ETL processes for Stage, ODS and Mart.• Familiar with JSON based REST Web services and Amazon Web services. • Strong ability to conduct qualitative and quantitative analysis for effective data-driven decision making in analytics.• Experience in data preprocessing, data analysis, machine learning to get insights into structured and unstructured data.• Experienced in working on Application Servers like WebSphere, WebLogic, Tomcat, Web Servers like Apache server and Integrated Development Environments like PyCharm, Eclipse, MyEclipse, JDeveloper and RAD.• Experienced with version control systems like Git, GitHub to keep the versions and configurations of the code organized. Developed python scripts to automate Data Analysis.• Well versed with Agile with SCRUM & Waterfall Model methodologies.• Good experience in working with Web services like Amazon AWS EC2, S3, ELB, EBS, API Gateway and Lambda Programming.• Well-versed in ticketing system such as Altassian JIRA.• Good Experience in Bash scripting and following PEP-8 Guidelines in Python.• Extensive Knowledge on developing Spark SQL jobs by developing Data Frames for the real time data analytics.• Excellent Interpersonal and communication skills, efficient time management and organization skills, ability to handle multiple tasks and work well in a team environment.