Syed Suhyl Ahmed Abdul Hasan Sathali
Business Analyst Intern
Profile summary
Analytical and detail-oriented Bachelor of Actuarial Science graduate with a strong foundation in probability, statistics, and risk modelling, complemented by an MSc in Business Analytics. Equipped to apply quantitative methods, data analysis, and predictive modelling to insurance and nancial decision-making. Proven expertise in actuarial analysis, insurance operations, and business analytics with practical experience at New India Assurance and cross-functional analytics projects. Procient in Python, R, SQL, Excel, SPSS, Tableau, and Power BI. Expert at uncovering meaningful patterns within complex datasets, creating actionable visual insights, and eectively communicating outcomes to technical and non-technical stakeholders. Seeking opportunities in Actuarial Analyst, Insurance Broker, and Business Analyst roles.
Career highlights
Improved Project Clarity: Collaborated with multiple departments to collect business requirements, increasing project clarity by 15%.
Accelerated Project Delivery: Connected business leaders and technical teams, accelerating project delivery by 10% for 2 major projects.
Key skills
Professional experience
Collaborated with 3+ departments to collect and detail business requirements for new software, improving project clarity by 15% and ensuring alignment with operational standards Connected business leaders and technical teams, ensuring project goal alignment with operational requirements, which accelerated delivery by 10% for 2 major projects Translated complex business requirements into clear specications, process maps, and functional documentation, guiding developers and testers for 3 key projects with 95% accuracy Utilized Tableau and Power BI to analyse data and create interactive visualisations, enabling leaders to make faster decisions and monitor performance trends weekly Identied process improvement opportunities through gap analysis and business process modelling, implementing 5 specic enhancements that saved approximately 8 hours weekly Supported User Acceptance Testing (UAT) and provided post-deployment support and training documentation
- Improved project clarity by 15%
- Accelerated delivery by 10% for 2 major projects
- Guiding developers and testers for 3 key projects with 95% accuracy
- Implemented 5 specic enhancements that saved approximately 8 hours weekly
Supported data management and analytics for insurance operations, working with nancial data to improve accuracy and readiness for risk analysis Assisted in verication and organisation of multiple datasets, ensuring information reliability for 90% of business reporting needs Gained practical insights into data handling within insurance settings, successfully supporting 2 key data analytics projects Contributed to accurate client record maintenance and operational support functions
- Ensuring information reliability for 90% of business reporting needs
- Successfully supporting 2 key data analytics projects
Managed creation of 50+ visual materials for the Actuarial Science department, improving communication of complex actuarial concepts to students and faculty Collaborated with faculty and students to understand design requirements, delivering visuals that met project goals for 10+ academic initiatives Maintained consistent visual identity and professional branding across all department materials
- Improving communication of complex actuarial concepts to students and faculty
- Delivering visuals that met project goals for 10+ academic initiatives
- Maintained consistent visual identity and professional branding across all department materials
Created and delivered engaging lessons to 30+ students, making complex technical concepts easily understandable and improving learning outcomes by 20% Provided guidance and mentoring support, helping students improve technical skills and condence by 15% Managed classroom activities and learning resources eciently to support eective learning
- Improving learning outcomes by 20%
- Helping students improve technical skills and condence by 15%
Education
Relevant Coursework: Advanced Data Analytics, Statistical Modelling, Predictive Analytics, Machine Learning Methods, Business Intelligence Systems
Overall CGPA: 8.3 Relevant Coursework: Actuarial Mathematics, Probability & Statistics, Financial Modelling, Life Contingencies, Risk Management Principles