Data Analyst
CurrentCreated an aggregated report daily for the client to make investment decisions and help analyze cyber risks.● Validate Computation/Automation objects, define Feature governance requirements through working withFeature development teams and other risk management units such as Enterprise Data Management, Model RiskOffice, and Technology Risk Management.● Created Python scripts on Databricks which extracts data from Snowflake server and upload the files to s3buckets using python.● Create monitoring reports to support business operation for retention, back office in the branded credit cardbusiness and schedule them to run on cadence. Write Shell scripts to automate data loading into thedatabase.Perform data quality control for Mainframe data migration.● Performed validation of data according to the business intent and help iron out the errors and gaps betweenunderstanding of business intent and the implementation.● Documented project reporting requirements and translate them into functional specifications● Created database objects like tables, views and functions using advanced SQL queries to provide definition,structure and to maintain data efficiently● Fine-tuned SQL queries to maximize efficiency and performance with strong working knowledge onRDBMS inSnowflake, SQL Server, Oracle, and Big Query with advanced SQL scripting skills like multiple joins, subqueries.● Highly efficient in Data Wrangling techniques: Data cleaning and transforming data in usable format, data quality,data profiling, data organization.● Collected large financial data sets in Microsoft Excel and Access and created reporting for senior management. ● Created Excel reports, Dashboards & Performing Data validation activity using VLOOKUP, XLOOKUP, Macros,formulas, index match, Slicer with (Pivot table, Get Pivot Data, Dashboards), Power View, Power Map and Heat Map.ETC