Spearheading the development of ML-driven anomaly detection engine by blending time series & statistical models that empowers businesses in identifying anomalies and unraveling its root cause(s) across diverse product domains.

Responsible for building a robust timeseries based - Anomaly Detection & Alerting framework that monitors "Objectives & Key Results" KPIs of various consumer facing products in the org, near real time.The said framework identifies and alerts respective business, analytics and engineering teams if and when there are any abnormalities in the trend is noticed. This aids the respective team to triangulate and mitigate the issue.

Lead a team of 6 and orchestrated multiple design thinking workshops with GMs and senior analysts to identify KPIs for e-commerce wing of Australian retail giant.Worked on ideation to solution design to execution of a robust reporting framework with active collaboration with on-site leaders and of-site analytics team. The said framework was presented to and was well received by the CEEO and GMs.

Provided actionable insights and recommendations to Australia based retail & loyalty firm, on their campaign performances via A/B testing, aided with Pre-Post & Test-Control Analysis.The said insights and reports aided the Marketing team to effectively STOP, CONTINUE and LAUNCH various promotions for 20+ partners across Australia.

Responsible for development and maintenance of Field force data-mart for specialized drugs segment of a leading US based pharmaceutical giant.Aided the analytics team in building a robust reporting framework that empowered the Field force team to effectively target physicians.