Vignesh S Pillai

Assistant manager

Swiggy•  October 2021 - Present

Proficient in: SQL, Building Data Science models, Program management, MS Excel, Building Dashboards, People Management, and Stakeholder management. · Define and solve highly ambiguous problems and proactively identify and mitigate risks (before they become roadblocks) · Develop, implement, and govern KPI reporting for a portfolio of programs. · Work with Trust and Safety streams - data Sciences, analytics, product, and engineering teams to build/retrain data science models and build scalable products to reduce transactional fraud and abuse. · Analyze data and drive improvements that are quantified with metrics. .People manager: 15 Analysts

Global Risk Advisor

Amazon•  August 2019 - October 2021

• Got promoted within the first year (Organizational norm is 2.5 Years) • Structure and develop continuous process improvement plans and work with ops leaders to pilot and test new solutions and then roll them out across the broader ops organization. • Single point of contact for new marketplace risk analyses across the globe. • Partner with managers on the sites/functions for process improvement and provide feedback to the Product/DS/operations team based on the trend analysis and patterns observed. • New hire orientation and KPI management. • Analysing Risks associated with different market-places and providing solutions.• Got promoted within the first year (Organizational norm is 2.5 Years) • Structure and develop continuous process improvement plans and work with ops leaders to pilot and test new solutions and then roll them out across the broader ops organization. • Single point of contact for new marketplace risk analyses across the globe. • Partner with managers on the sites/functions for process improvement and provide feedback to the Product/DS/operations team based on the trend analysis and patterns observed. • New hire orientation and KPI management. • Analysing Risks associated with different market-places and providing solutions. Skills: Business Analytics · Fraud Investigations · Data Visualization · Teamwork · Data Analysis