Sarvani Viswanadha Pp

• Led the end-to-end transformation of a core enterprise reporting process, integrating both business and technical responsibilities; streamlined workflows across 5+ teams and established subject matter expertise supporting 30+ underwriters, product managers, and client leads.
• Redesigned and enhanced 10+ legacy Power BI and Excel tools into dynamic, interactive dashboards visualizing trends in frequency, severity, and loss cost—enabling a 40% improvement in insight accessibility and accelerating product-level decision-making.
• Spearheaded a cross-functional data ownership initiative, partnering with IT and data management teams to establish quality controls, ownership protocols, and automated checks—resulting in a 60% reduction in data-related reporting issues.
• Expanded historical reporting scope from 3 to 6 years while reducing database update run-times by 50% and consolidating 8+ redundant reports into a unified, hierarchical structure—improving usability and saving 20+ analyst hours per month.
• Champion of collaboration and continuous learning, serving on HSB’s Finance Engagement Team for 2 consecutive years and leading Power BI upskilling sessions for 25+ peers to foster a more data-driven, empowered analyst community.

• Built logistic regression application analyzing 9 million life insurance policies aggregated from 5 different companies to predict potential policy lapses and identify key factors
• Collaborated with a team of 8 analytics professionals to interpret insights and perform intense secondary research on policy legislations; earned clients appreciation for feasible modifications on policy premiums

• Built a Decision support tool (multivariate K-means clustering application in R) to identify revenue driving products per impression under each ad group and marketing campaign
• Applied sliding window, transformation techniques to model linear regression on Pay-Per-Click advertising data; achieved 68% adjusted R squared value in predicting revenue per impression
• Utilized complex joins, aggregation and SQL analytical functions to manipulate and assess 32 million records of sales-order database
• Discovered valuable insights regarding target metric performance and SKUs behavior across multiple campaigns by generating interactive pivot tables and cross tabulation views in Microsoft Excel

• Designed tailored lesson plans and mentored undergraduate students in advanced statistical techniques, fostering a collaborative learning environment and improving student comprehension of complex statistical concepts.

Implemented automation for web scraping by developing an algorithm in Python accelerating research study ~50%

• Merged data across multiple systems, examined crucial attributes and provided insights on cost related strategies
• Boosted team performance ~ 50% by automating web scraping for similar ATS websites using C# programming