Senior Data Scientist
CurrentStella McCartney is an international fashion brand known for its strict adherence to ethical sourcing and manufacture. A year after being hired, I was promoted to Senior Data Scientist. I was originally brought in to help grow the ecommerce side of the business, but my role has now expanded to also support the Head of Retail (in charge of nearly seventy stores globally).• Forecast Customer Lifetime Value in a non-contractual situation using the Python Lifetimes package. Used the insights derived from CLV calculations to assess the risk/reward of introducing a new range of entry-level ‘gateway’ products, with the aim of inducing new customers to graduate to purchase ‘high value’ items.• Used Google’s LightweightMMM package to generate sales forecasts. Weekly forecasts had MAPE ~8%, monthly forecasts had MAPE < 5%.• Used Geopandas to analyse ecommerce sales based on customer zip codes. This was combined with demographic data and luxury ‘door counts’ to support the decision around where to open a new US store.