KHEEM SINGH NEGI

• Built predictive models and machine-learning algorithms to analyses large data sets and draw useful conclusions, minimizing introduction of errors into analysis processes
• Applied analysis skills, leveraging insights, developing and deploying data models and evaluating and improving existing models to create solutions
• Constructed deep learning models and scalable machine learning systems
• Worked alongside team members and leaders to identify analytical requirements and collect information to meet customer and project demands
• Applied custom models and algorithms to data sets to evaluate and solve diverse company problems
• Devised plans for meeting short- and long-term objectives by maximizing impact and coordinating tests with stakeholders
• Developed and refined reporting tools and interfaces for different
• KPIs to increase transparency and boost staff performance
• Conducted critical research into changing metrics causes and customers, user interactions and trends to help businesses stay competitive
• Gathered analytics data using different sources
• Executed simulations on business data to identify financial impacts of decisions and created frameworks for testing model quality
• Created processes and tools for monitoring and analyzing model performance and data accuracy, defining and applying modeling changes to support analytic efforts
• Provided solutions and strategies to address business challenges and help businesses remain competitive using market trend data
• Segmented markets and customers with analytics focused on revamping marketing campaigns and used insights to help businesses overcome challenges
• Pre-processed structured and unstructured data by collaborating with diverse teams in implementing models and monitoring outcomes
• Mentored and encouraged analytics teams to master data mining, management and analysis techniques
• Offered value-added insights and recommendations to business leaders using specialized techniques, helping businesses adapt to

• Workforce training and development
• Incident log management
• Continuous improvements
• Capital investment planning
• Microsoft Office Suite expert market changes
• Set up structures for producing reports
• Reviewed insurance contracts, checking for accuracy and completeness
• Ensured proper application of agency policies by reviewing, classifying, coding and rating applications
• Negotiated coverage, policy pricing and service delivery during meetings with customers, agents or brokers
• Met with customers to determine their needs and requirements
• Leveraged customers' history, industry and demographic information to calculate renewal rates
• Drafted loss control support resources by conducting research
• Met business growth goals through collaboration with internal stakeholders and departments
• Worked with colleagues to review, accept or deny new and renewal business
• Managed risk to determine premium rates by analyzing statistical data
• Used rating manuals and loss cost data to update systems
• Conducted comprehensive analysis and evaluated risk to control underwriting loss.

• WWW.RMS.COM
• Provide analysis and analytical advisory services to Regional
• Underwriting Management team, Enterprise Risk
• Management team for loss estimates, pricing on CAT events before, during, and after occurring
• Provided quotes, reruns, mid-term adjustments and binding documents duly audited
• Preparing risk assessment reports and deliver to business partners and underwriting team suggesting on applicable pricing
• Delivering automated solutions to business partner and in- house teams
• Report creation of team performance, QC (Quality check) report on daily, weekly and monthly
• MIS reporting using various excel formulas
• Maintaining SLA (Accuracy and Turnaround time)

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