• Handled numerous responsibilities, including finding software solutions, troubleshooting and diagnostics, and assessing system processes. Trained and supported a total of 4 interns and shared my knowledge and expertise • Utilized MS-Excel regularly to store and manage data, allowing for easy access and the execution of necessary tasks.• Experienced with Business Intelligence Analytics, SQL Server Integration ServicesSSIS, SQL Server Analysis Services, Performance Point Services, ensuring Product backlog is of manageable size, preparing Product Release Burndown charts.• Performed SWOT analysis, acquired significant insights into its growth potential, and effectively organized and utilized data for informed decision-making.• Customized Salesforce CRM to meet business needs, configuring objects, fields, record types, workflows, and validation rules to streamline sales and service processes.• Experience in Data Integration and Data Warehousing using various ETL tools Informatica PowerCenter, AWSGlue, SQL Server Integration Services (SSIS), Talend, Azure Data Factory.• Developed and implemented data analytics models and dashboards using Python, Excel and visualization tools such as Tableau and Power BI to provide insights into industry trends and support decision-making processes• Worked with DBA to extract API data into SQL Server and connected to the same from Tableau for various reporting requirements.• Increased company revenue by 40% by finding trends and Implemented advanced statistical models, reducing data processing time by 30% and enhancing the efficiency of the analysis process.• Managed and analyzed a dataset of 50,000 records to identify market trends, leading to the development of targeted marketing strategies that increased sales by 15%.,• Automated ETL processes across billions of rows of data which reduced manual workload and created dashboards reports to advise stakeholders in their respective business and geographic markets.

• Gathering all the data that is required from multiple data sources and creating datasets that will be used in analysis.• Responsible for BI Data Quality. Worked on data mining and data profiling.• Performed Exploratory Data Analysis and Data Visualizations using R, and Tableau.• In preprocessing phase, used Pandas and Scikit-Learn to remove or impute missing values, detect outliers, scale features, and applied feature selection (filtering) to eliminate irrelevant features.• Conducted Exploratory Data Analysis using Python Matplotlib and Seaborn to identify underlying patterns and correlation between features.• Utilize advanced statistical methodologies and machine learning models like linear, multiple & logistic regression, decision trees, Bayesian inference to solve complex business problems.• Cleaning data and ensuring data quality, consistency, integrity using Pandas, NumPy.• Performed Data profiling, preliminary data analysis, and handled anomalies such as missing, duplicates, outliers, and imputed irrelevant data.• Work extensively with advanced analytical action utilizing various filters, sets, groups, LOD, parameters, hierarchy, calculated fields, table calculations on Tableau reports and workbooks.• Strong hands-on experience with creating dashboards, data visualizations, and analytics using Tableau Desktop.• Handled large sets of data using Python and Tableau.• Used Python (NumPy, Scipy, Pandas, Scikit-Learn, Seaborn), and Spark 2.0 (PySpark, MLlib) to develop variety of models and algorithms for analytic purposes.• Utilized spark, Scala, Hadoop, HBase, Kafka, Spark Streaming, MLlib, Python, a broad variety of machine learning methods including classifications, regressions, dimensionally reduction etc.• Implemented, tuned, and tested the model on AWS EC2 to get the best algorithm and parameters.various machine-learning algorithms.