Data Engineer/Scientist with 10 years of hands on delivering valuable insights relevant to business management decisions via data Intelligence driving methods
Over 10 years of insurance experience in all lines of business – Personal lines, Commercial, Claims and Reinsurance
Experienced in Visualization tools : Qlik Sense development/ Nprinting
Experienced in Machine Learning AI models’ Development: Classification, Regression, Clustering etc. utilizing Python related Libraries: Sklearn, Pandas and Numpy etc.
Expert in Various Business Intelligence/Statistical Tools: SAS Enterprise Guide , SAS/Base, SAS/Macro, SAS/SQL, SAS Stored Process, SAP Business Objects Enterprise
– Delivered predictive classifiers and Machine learning Models supporting marketing, operations, pricing, underwriting, commercial lines, personal lines and claims teams: Customer segmentations 360, Broker 20/20, Vision20/20 and Fraud Insight case Management
– Provide data insights and KPI’s to support identifying strategic planning and information-based decisions
– Developed Qlik applications going through the life cycle phases from identifying data sources, preparing, extracting, data modelling to creating new scripts/ data insights to fit the business needs
– Perform Data Mining and integration between multiple data sources (Hadoop, Data Mart, Postgres, Teradata, BO, SAS) and transposing into various models
– Marketing process to rebrand Aviva through building wireframes
– Supported Actuarial projects, developing innovative modelling insurance risk and pricing models : Rate tracking and PIR (Price indicator rates)