• Work in an Agile environment, with an ability to accommodate and test the newly proposed changes at any point of time during the release.• Working on predictive analytics use-cases using Python language.• Extensively used Python's packages like Pandas, NumPy, Matplotlib and SciPy.• Use packages like ggplot2 in R Studio for data visualization and generated scatter plot and high low graph to identify relation between different variables.• Performing slicing and dicing of data using SQL and Excel for data cleaning and data preparation.• Responsible for creating reports using Tableau desktop and publishing reports to Tableau server.• Performing data analysis and maintenance on information stored in MySQL database.• Using Excel functions and pivot tables to summarize and categorize the data for the business.• Performing data collection, data cleaning, data wrangling, and data analysis on the data sets in Python.

• Analysis and understanding of business requirements and implement the process using Waterfall methodology.• Conducted statistical analysis to validate data and interpretations using Python as well as presented Research findings, status reports and assisted with collecting user feedback to improve the processes and tools.• Used Tableau to analyzing data sources from MySQL and SQL server.• Import data from multiple data sources and create automated reports in Power BI after cleaning and preprocessing the data.• Identified/documented data sources and transformation rules required to populate and maintain data warehouse content.• Worked creating Aggregations, calculated Fields, Table calculations, Totals, percentages using Key Performance Indicators (KPI), and Measure.• Participated in all phases of data mining like data collection, data cleaning, developing models, validation, visualization and performed Gap analysis.• Documented problem resolution procedures, reducing future problem-solving time and contributing to staff knowledge base.