Wilmington, Delaware, United States
With over 8 years of experience in data analysis, I am passionate about transforming data into insights and solutions that help drive business growth and performance. As an AVP of Credit Data Analytics at Barclays, I leverage my skills in SAS, Python, Oracle, and Hive to develop and implement credit risk, acquisition, and cross-sell strategies for the loan portfolio. I am motivated by the mission of Barclays to create opportunities for people and businesses, and I value diversity, collaboration, and innovation in my work. In my current role, I have successfully grown the Barclays loan portfolio from 0 to 1 billion, and I am targeting another 1 billion in the next year. I use advanced analytical techniques, such as machine learning, optimization, and A/B testing, to generate pricing and cross-sell strategies that increase origination, retention, and profitability. I also provide first-line defense for credit risk management, ensuring compliance with regulatory and internal policies.
Focus: Loan X-sell Analytics Keywords: 1st Line Defense; Risk Analytics, Acquisition Strategy & ECM Strategy; Credit managment Key Tools: SAS, Oracle, Hive, Sandbox/Python, AWS Accomplishment: Grow Barclays Loan portfolio from 0 to 1B, targeting another 1B.
Focus: Credit and Pricing Analytics Keywords: Credit Risk Strategy Management, A/B Test, Complex Query, Machine Learning Algorithms, Optimization. Key Tools: PostgreSQL, Snowflake, Python, SAS and MS Office Accomplishment: Generate pricing strategy that gains $20MM+ extra origination annually under a better ROE
Focus: Operational Data Analytics Keywords: Data Cleaning, Data Validation, Data Visualization, Business Intelligence. Key Tools: Python, Tableau, Excel
Focus: Investment Analytics Keywords: Financial Modeling, Market Analysis Key Tools: MS Office, VBA
Focus: Project Management, Website Data Analytics Key Tools: Google Analytics, MS Office, Prototype Designer, HTML, Python