Senior Analytics Professional

Developed the Menu Variety Score to optimize menu design and built an automated experimentation framework covering A/B setup, sample sizing, significance checks, pre-bias correction, and templated reporting, accelerating experimentation velocity and delivering a 1% AOR uplift, generating $891k in additional net revenue.

Developed Push/Email opt-out rate models and experimentation metrics within the CRM marketing experimentation stack, delivering near real time campaign impact visibility.

Developed innovative GA tracking solutions for product experiments, unlocking deeper user behavior insights and empowering better analysis and interpretation of experimental results.

Built a rewards recommendation engine using supervised and unsupervised techniques to identify engagement levers and provide recommendations to drive higher redemption amongst enrolled customers.

Overhauled a Merchant Budget Forecasting Tool providing monthly forecasts for one year based on the enrolled cardholders at a merchant level, helping regional teams in merchant enrollment.

Designed a white box algorithm in 6 weeks to quantify the demand transfer with an accuracy of 78% from one merchandising unit (SKU) to other similar SKUs considering product attributes.

Built a tool and developed a predictive model leveraging click stream data to analyze current trends in the beauty industry and identify nascent trending ingredients before they hit critical mass.

Developed a forecasting engine comprising 13+ time series forecasting models to provide exceptionally reliable accurate forecasts at a country category level.

Developed a framework to identify key drivers of sales implementing regression analysis and quantify their impact on sales (lift analysis).