Benjamin Vellanikaran

- Analyzed transaction patterns to identify potential fraudulent activities and mitigate risks

- Coordinated implementation of a cloud-based AWS infrastructure to modernize fraud reporting and analytics workflows, improving scalability and data accessibility for the fraud team
- Reduced fraud report generation time by 185+ hours monthly through automation, process redesign, and Python-based data pipelines
- Participated in a company-wide fraud awareness campaign, contributing to a marketing video focused on scam prevention and member education
- Delivered data-driven insights and fraud performance updates to senior leadership, influencing strategy adjustments and control enhancements.
- Design and refine fraud analytics processes using SQL and Python, leveraging machine learning techniques to enhance detection effectiveness and reduce manual review workload
- Led a cross-functional data governance initiative to improve data quality, documentation standards, and reporting consistency across fraud owned tables
- Partner cross-functionally with operations, compliance, and technology teams to align fraud controls with business objectives and regulatory requirements

- Automated manual Excel-based fraud processes using Python, improving efficiency, reducing errors/false positives, and enabling scalable reporting workflows
- Developed data visualizations and executive-level dashboards (Tableau) to enhance visibility into fraud performance metrics and inform upper management decisions
- Designed and documented account opening workflows using Visio, improving process transparency and cross-team alignment
- Built an end-to-end funnel analysis tracking applications through the account opening lifecycle, identifying drop-off points and risk control gaps
- Led initiative to migrate fraud data processes from a legacy data lake environment to Snowflake, improving data accessibility, query performance, and analytical capabilities

- Extracted and analyzed member-level data from Hive tables within a data lake environment to support fraud investigations and trend analysis
- Conducted exploratory analysis on fraud losses across deposit channels to identify patterns and potential detection enhancements
- Monitored new member activity to assess fraud risk indicators and support early-stage loss prevention efforts
- Developed dashboards and visualizations (Tableau) to communicate fraud trends and findings to senior management
- Documented analytical insights and produced formal project deliverables summarizing recommendations and risk observations