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Lorraine Dalmeida is a Senior Data Scientist at Ocado Technology, where since March 2022, Lorraine has focused on developing machine learning algorithms for predictive maintenance of automated warehouse systems. Previously, at ING from October 2018 to March 2022, Lorraine developed machine learning techniques in Python to analyze high-frequency tick data and predict VWAP movements. Lorraine's earlier experience at Kogentix Inc. included implementing data science capabilities for various clients and identifying critical use cases in telecom and banking, while at Flutura Decision Sciences & Analytics, Lorraine delivered business solutions through statistical analysis and technology. Lorraine holds a Master’s degree in Data Science from the University of Glasgow and a BTech in Electronics and Instrumentation Engineering from the University of Calicut.