Communicated complex technical findings and insights to non-technical stakeholders effectively. ▪ Built databases and validated their stability and efficiency. ▪ Responsible for data modeling, data scheduling ▪ Performed data collection, data cleaning, and data preprocessing tasks to prepare datasets for analysis. ▪ Explored and analyzed large datasets using Python, Pandas, and SQL to identify trends, patterns, and outliers. ▪ Utilized Python libraries like Scikit-learn and TensorFlow for model training and valuation. ▪ Fine-tuned models for optimal performance and interpreted models results. ▪ Created interactive and informative data visualizations and dashboards using Tableau to present insights and findings to stakeholders. ▪ Developed custom data visualizations using Python libraries like Matplotlib and Seaborn. ▪ Used Alteryx to automate data extraction, transformation, and loading (ETL) processes. ▪ Cleansed and preprocessed data to ensure data quality and accuracy. ▪ Collaborated with cross-functional teams. Including data engineers, analysts, and business stakeholders, to understand data requirements and business objectives. ▪ Created program views, functions, and stored procedures. ▪ Wrote optimized SQL queries for integration with other applications. ▪ Designed database tables and dictionaries. ▪ Developed scripts, procedures, and triggers for application development. ▪ Maintained data quality and backups. ▪ Communicated effectively in both a verbal and written manner to client and offshore team. ▪ Converted complex data from multiple sources into meaningful and easy-to-understand formats for various stakeholders.

▪ Identified and analyzed cross functional requirements for cross agency system and data integration. ▪ Participated in daily defect meeting calls and coordinated the user-acceptance testing efforts with the business users. ▪ Analyzed and evaluated data/information gathered from multiple sources and reconcile/address conflicts or business issues. ▪ Designed and developed a series of complex business intelligence solutions via business objects (designer, desktop intelligence, and web intelligence) ▪ Managed the complete product lifecycle from requirements gathering to prioritization to product release. ▪ Provided management, direction, and administration for the collection, validation, holistic analysis and reporting of program data. ▪ Reviewed Business requirements and prepared the dashboards as per the requirements. ▪ Handled large amount of data and worked on Database development while migrating from MS Access to SQL Server Database. ▪ Collected, analyzed, and reported data from various internal systems with the end goal of a renewal quote to the customer. ▪ Responded to new requests including understanding the customer objectives and processes, reviewing, and refining requirements, and communicating estimated timeline for completion. ▪ Responsible for gathering business and technical requirements, source system analysis, gap analysis, data profiling, requirements documentation for report development. ▪ Managed end to end complex data migration, conversion, and data modelling (using SSIS, SQL), and created visualization using Power BI to develop high quality dashboards.