Time:
Jan 2021 - Present
Location:
San Francisco
Role:
Senior Machine Learning Engineer
Responsibilites:
Managed a 3-person Data team to develop Zeus' ML-based Geo Spatial Microservice. We also increased booking conversion via recommender systems, provided competitive intelligence via geospatial modelling, and revamped on our dynamic pricing engine.
Lead a team of three to develop Demand Zones, the product currently being used to pilot the expansion of Zeus to new places using GeoSpatial Data Science.
Developed pricing algorithms and built end to end system to price Zeus listings using Search Demand, Occupancy and Price Elasticity which helped increase our general occupancy by about 9%.
Developed parallelised algorithms which sped up our systems >10X for various projects
Mentored interns to build systems such as Flex Lease Pricing, Similarity scoring model which sped our new lead pricing by about 6 hours / lead on average.