Worked on recommendation algorithms in the largest retail company in Brazil. Launched cross-team data quality project, improving small sellers visibility to customers (+1M products and +200M GMV projected impact). Active participation in company knowledge sharing sessions (both organizing schedules, presenting projects and NLP applications). Organized orientation sessions with LuizaCode participants, the company's entry program for aspiring developers focused on women.

Directly responsible for shipping machine learning models from ideation to production environment and monitoring using AWS stack. Main machine learning projects are related to real estate pricing prediction, product recommendation to customers and ordering listings in a customer-facing interface. Geospatial analysis regarding housing price index and lead score implementation to prioritize customers.

Main machine learning projects are related to pricing, recommendation and routing algorithms. Joint development of tools and scores with Project squads used to detect priority customers and optimize manual work. Examples are lead scoring calculation based on user navigation and search patterns for different customer types (buyers and sellers) and maps for inloco listing sourcing based on buyers' preferences.Search ranking improvement algorithms on real estate advertisement websites to optimize marketing expenditure on lead generation. Data enrichment using external sources such as OpenStreetMap and property tax government data. CRM (Salesforce) improvement using text analysis in order to create structured fields.

Data analysis, insights and visualisations to support decision making of multiple company areas. Development and knowledge sharing about ETL and UDF creation on HIVE cluster.Main machine learning projects are related to spatio-temporal neighborhood classification, user churning propension, user clustering based on work hours and text classification.Developing knowledge on: Python, HIVE, shell, SQL, supervised and unsupervised machine learning algorithms

Participant on the creation and maintenance of Data Warehouse. Responsible for automation of a business process to increase operations efficiency on customer support. Creation and maintenance of several reports to support decision making of multiple company areas.Developed knowledge on: Python, SQL, Airflow, Redshift, MySQL, PostgreSQL, Tableau, QGIS

Project supervisionStrategic planningTraining and Recruiting