● 4+ years of extensive work experience in Data Analytics, Data modelling, Business analytics Data Mining, and Statistical Analysis.● Experienced working on data preprocessing steps like exploration, aggregation, missing data imputation, sampling, feature selection, dimensionality reduction, and outlier detection.● Extensive experience in Business Intelligence/Data Warehousing/Analytics and using industry-recognized report development and/or analytics tools such as Tableau, and Power BI.● Proven innovation and creating data/ analytical solutions, with excellent data management, modeling, analysis, and visualization, leading to building high-value content, decision systems, forecasting models, and pipeline automation. ● Experienced in working with various Python IDEs using Spyder, Jupyter, PyScripter, PyCharm, and Sublime Text.● Extensive experience in developing dashboards, and reports using tools like Tableau, Power BI● Extensive database programming experience in writing T-SQL, creating complex queries in Stored Procedures, User Defined Functions, Triggers, Views, Temporary Tables, Constraints, and Indexes using various DDL and DML commands.● Strong experience in data modeling and analysis with Excel, Python, Pandas, SQL, Power BI, and visualization with Tableau.● Strong experience in Data Migration, Data Cleansing, Transformation, Integration, Data Import, and Data Export.● Excellent understanding of Agile and Scrum development methodology● Experienced in Python and R to manipulate data for data loading and extraction. ● Worked with Python libraries like Matplotlib, NumPy, SciPy, Pandas, and R packages for data analysis.● Excellent knowledge of statistical analysis, data aggregation, and complex manipulations.● Experienced in data wrangling, data visualization, and reporting using Python, and Tableau.● Experience with Power BI Desktop, Power BI Service, Power Query, and DAX for calculated columns/measures.● Hands-on experience with discovering, analyzing, and identifying key elements in the data thereby communicating the insights, trends, and future forecasts.● Built models to validate the effect of product sales during the holiday season based on seasonality, assisting in shelf and store cluster analysis.● Experienced in extracting data from various non-traditional data sources (Like web scraping).● Strong Experience in working on MS Access, MS Excel, and MS PowerPoint. ● Extensive knowledge of developing SQL jobs by developing Data Frames.
