Experienced Data Science and Engineering professional, delivering value to Banking, Insurance and Retail clients. Passionate about solving business problems through data and have an excellent stakeholders, project and team management skill• Managed £80bn of mortgage backed securitisation process for large European bank for multiple SPV’s including Covered Bond programmes. This involve providing analytic support to business in terms of asset selection, tool development through IT, delivering internal and external regulatory reports and managing multiple stakeholders• Set up and managed a Centralised Data Analytics and Reporting Team of 20 FTE for a large Danske bank, Denmark. This set up was based on offshore onsite model. Managed requirement and expectations of multiple stakeholder involving head of business from customer insight, marketing, credit and finance• Proficient in using tools like SAS, SQL, Micro Strategy (MSTR) , RDBMS, PYTHON, PANDAS and good understanding of big data technologies like Hadoop, data warehouse architecture like ETL, dimension modelling (STAR/SNOW flake schema), OLAP and reporting setupTools and Technologies• SAS EG, Micro Strategy (MSTR), PYTHON, PANDAS, DI Studio, Coputer Vision, Tenserflow, openCV• SQL, RDBMS (DB2, Oracle, Teradata), MS office, MS EXCEL, MS PowerPoint• Statistical techniques: Data Modeling, Linear / Logistic regression, Factor/Cluster analysis,