Client Challenges
- Lack of Data Science and ML Engineering expertise with the core team of the Client
- Lack of experience in deployment of ML solutions as integrated parts of the complex Web-based platforms to work under high real-time load
- The Client faced the issue with optimizing the call center and marketing efforts on the online leads to make sure the quality leads are attracted to/retained in the funnel at lower marketing costs per lead
Services
- Implemented the online lead scoring prediction system for the custom e-commerce platform in Mexico
- Provided advanced data analytics on the key drivers of an online lead to convert to the next stage in the customer funnel
- Implemented data extraction from the corporate BI DWH and Exponea backend
- Implemented the data preprocessing and feature engineering pipelines
- Implemented ML models GBDT: (xgboost, lightgbm, catboost; meta-model ensembling)
- Implemented Web API Wrappers around the ML models to make it ready for the customer product integration
Client: E-commerce platform operator (used car sales, operated in 10 countries)
Segment: ML, AI, Data Science
Users base: Hundreds of users in different country offices of the Client
Technology stack: GCP, Python, SQL, scikit-learn, GBDT algos
Team structure: 1 Sr ML Engineer, 1 Middle Data Scientist, 1 Jr Data Scientist