Daniel Brule

• Developed a deal sourcing tool for a private equity allowing automated target discovery and tracking, based on fund investment criteria using natural language processing (NLP) and machine learning (ML) leading to a 20% productivity increase. • Led Data Due diligence (DD), helping PE to assess alignment between target strategy and existing infrastructure, teams and data. • Digitalised risks’ reports for a bank, managing a 10 consultants’ team over 18 months, leading to automation of 20+ critical reports. • Designed and led the development of a scraping and social listening engine gathering data from 50+ websites used globally to improve our productivity and ensure consistency across missions. • Coached multiple consultants helping them define and reach their objectives leading to promotions of 50% of my pool and lower turnover. • Led GDPR task force, overlooking the respect of data usage across all our projects. • Defined data science transformation office strategy and ensured alignment between profiles and objectives.