
Manohari W.
Data Analytics
Profile
Results Driven Data Analyst with experience in actuarial pricing, loss reserving, and advanced data analytics. Recognized for critical thinking, problem-solving, and the ability to translate complex data into actionable business strategies. Passionate about using data to drive business decisions, optimize processes, and collaborate with cross-functional teams in a fast-paced environment.
Key Skills & Competencies
Statistical Analysis | Loss Reserving | Actuarial Pricing | Forecasting | Business Analysis | Data Governance | Automated Reporting and Dashboards | Cross-Functional Collaboration | Continuous Process Improvement | Problem Solving | Business Acumen
++Technical Proficiencies++
Programming Languages: SQL, Python, R, SAS
Excel (Advanced): VBA, Pivot Tables, Power Query, complex formula modeling
Databases & Data Management: SQL, SAS, Oracle, BigQuery, Snowflake, Databricks
Data Visualization & Business Intelligence: Power BI, Tableau, MS Excel
Cloud Tools: AWS, Azure, GCP
Professional Experience
Travelers Canada, Toronto, Canada
+Associate Data Engineer (R&D Data Team), 1yr
+Consultant Data Analytics Engineer (R&D Data team), 1 yr
+Actuarial Analyst (R&D Data team), 6 yrs
+Actuarial Analyst (Actuarial pricing team), 3 yrs
Improved predictive modeling accuracy and validation efficiency through automation of data processes, while ensuring scalability and reliability. Trained junior staff on advanced workflows to enhance team expertise. Enabled monitoring of payments across product lines, enhancing data-driven decision-making by designing and delivering comprehensive business intelligence reports. Enhanced auto rate-making models by using advanced techniques, including industry data analysis, trend evaluation, and loss cost assessments. Advanced automation capabilities by conceptualizing underwriting rule editor for Cyber insurance during Innovation Jam.
• Supported underwriting and pricing strategies by developing and maintaining a robust database with complex rating algorithms.
• Reduced workflow inefficiencies by 80% through process re-engineering and database optimization, improving data retrieval and pricing model execution.
• Improved operational efficiency by 60% by developing the P&C Loss Ratio Dashboard, enhancing real-time financial performance tracking.
• Increased customer data accessibility by 20% through leading innovation initiatives, proposing actionable strategies for information retrieval.
• Ensured monetization success and regulatory compliance by modifying data programs to accommodate evolving coverage requirements in commercial property lines.
• Strengthened system reliability by identifying and resolving 30+ critical defects during UAT, reducing post-launch costs by 15%.
• Mentored junior analysts and offshore teams to enhance expertise in complex data workflows, experiment design, and validation processes.
**Previous Work Experience**
WTW, Toronto, Canada
Marketing Analyst | 1yr
Sri Lanka Insurance Corporation Ltd., Colombo, Sri Lanka
Assistant Manager Actuarial – Non Life | 2 yrs
++Data Science Academic Projects++
Data Science & Advanced Statistics:
• Decreased internal marketing costs for insurance products by 40% through predictive model that identified potential customers with 73% accuracy.
• Insurance Pricing Forecasting – Build a model strategizing pricing plan to maximize profits.
• Allstate insurance claims severity prediction.
Customer Insights & Segmentation:
• Identified high-value customers by analyzing online retail data and grouping customer segments using K-means and hierarchical clustering algorithms in SQL and Python, driving targeted marketing strategies.
Data Management & Visualization:
• Designed and implemented a SQL database for an aviation company, creating tables for customer and flight details, preparing ER diagrams, and writing stored procedures to retrieve actionable insights.
• COVID19 Dashboard – Power BI
Community Experience
Treasurer Finance Co-Chair (Travelers Women in Actuarial Analytics Group)
• Guided and mentored colleagues within the analytics team during career transitions, leveraging persuasive skills to foster professional growth and team cohesion.
Education
Applied Generative AI Specialization, 2024
Postgraduate Program in Business Analysis, 2024
Purdue University /Simplilearn, Remote
Data Analytics, Big Data & Predictive Analytics Certificate, Practical Deep Learning, 2023
Toronto Metropolitan University, Remote
Bachelor of Science in Mathematics, Statistics & Computing
University of Kelaniya, Kelaniya, Sri Lanka
++Certifications++
Google Data Analytics (BigQuery, R Programming) – Google / Coursera
Economics, Financial Mathematics – Society of Actuaries
Other Experience/Awards/Publications