Being an experienced and accomplished Insurance Analytics Professional, I have worked extensively on Machine Learning Statistical Models, Text Mining, Sentiment Analysis and NLP, Automation and Model Monitoring. I have a good mix of coding, solutioning, visualisation and architecture design, with expertise in SQL, SAS, Python and Power BI.With a clear understanding of the Insurance Industry, I have supported the Actuarial, Claims and Underwriting departments in creating data driven solutions to boost business and make strategic decisions. I have built, maintained and improved various models, process and frameworks along the Insurance value chain while tackling essential business cases including Pricing, Portfolio Improvement & Monitoring, Subrogation, Fraud, Salvage, Volatility, Triage and Reserving. My experience spans across both the P&C as well as the Specialty markets in Canada and the US.As the practice lead for Data and Analytics with Munich RE Canada’s MGA Team, I am required to utilise the hard and soft skills I have gained, right through my academic and professional life, to their maximum potential. This role allows me help the business grow and steer the portfolio in the right direction while enabling Munich RE to make Data Driven Business Solutions. My all around professional experience and exemplary interpersonal and soft skills, are an integral part of my working day and my flair to learn helps me ask the right questions to solve problems. My academic and professional experiences have shown me how to be a go-getter with a 'Never say die' attitude - A value that has helped me grow and excel at what I do.