4 years of experience as a Data Analyst with a good understanding of Data Modeling, Evaluating Data Sources, and understanding of DataWarehouse/Data Mart Design, and Client/Server applications.• Good Knowledge of IDEs like Visual Studio Code, and PyCharm. Well-Versed in using various packages in R and python-like ggplot2, pandas, NumPy,SciPy, and Matplotlib.• Define the ETL mapping specification and Design the ETL process to source the data from sources and load it into DWH tables.• I have expertise in writing SQL Queries, Dynamic Queries, sub-Queries and joins for generating Stored Procedures, Triggers, User-definedFunctions, Views and importing Data from excel.• Capable of Text Analytics, generating data visualizations using Python, and creating dashboards using tools such as Tableau, Power BI, and MSExcel.• Proficiency in SQL Server development, System Analysis, Design, and Development Support of MS SQL Server.• Extensive experience as a Data Analyst, and proven skills in python, Tableau, requirement gathering, Gap Analysis, User Acceptance Testing, DataAnalysis, BI Testing.• Good Understanding of AWS or other cloud platforms and containerization technologies such as ECS and Docker.• Adept in using Python libraries such as Pandas, NumPy, Seaborn, Matplotlib, Scikit-learn to analyze the insights of data and perform data cleaning,data visualization and build models.• Operated structured and unstructured data from many different sources such as MySQL, Excel files, and transferred them into MS SQL Server.• Proficient in complete Software Development Life Cycle (SDLC) for projects using methodologies like Agile and Waterfall.• Ability to Perform data manipulation, data preparation, normalization, and predictive modeling Improve efficiency and accuracy by evaluatingmodels in Python and R.
