• Mined and analyzed data from company databases to drive optimization and improvement of business strategies.• Used predictive modeling to increase and optimize customer experience, revenue generation and other business strategies.• Developed processes and tools to monitor and analyze model performance and data accuracy.• Undertook preprocessing of structured and unstructured data and analyzed large amounts of information to discover trends and patterns.• Used Natural Language Processing to provide solutions to the users’ problems by identifying similar issues in the incident ticketing system.

• Supported the operation and development of the productivity tools including its infrastructure, interfaces based on system strategy, defined by functional manager, and product owner.• Owned user stories, change requests, defects and developed solutions for these.• Developed own skills and knowledge in line with business strategy. Built gathered knowledge into team knowledge.• Built predictive models and Machine Learning algorithms and presented information by using data visualization techniques.

• Supported business processes in various portfolio systems by developing SQL reports and queries. Ensured that the clients pass the different audit related examinations by providing portfolio reports quickly and accurately.• Provided technical and business support for incidents reported by the customers, including complex business and IT analysis.• Represented the users’ needs by prioritizing customers and implementing changes based on collected feedback.• Accelerated the migration of the business team’s data from one site to another using Selenium and Python.