Ubisoft x EDHEC－Data Science Project
Applied Data Analytics | Gaming | Data Analyst
Developed an applied data analytics framework to detect and anticipate gamer uproar using social data, addressing a critical risk in game launches. The project focused on translating sentiment and text signals into actionable insights to support decision-making and change management for live game operations.
Company
Ubisoft
Gaming
Data Analyst
September - November, 2025
Roles & Deliverables
Sentiment & Text Analysis: Applied pre-trained NLP models, including VADER for sentiment analysis and LDA for topic modeling, to analyze YouTube comments on Ubisoft’s new game trailers. Identified sentiment trends and recurring themes associated with gamer dissatisfaction and backlash.
Analytics Framework Design: Designed a structured and reusable analytics framework combining sentiment tracking and topic analysis, enabling consistent detection of early warning signals across future game launches.
Decision Support & Change Management
Translated analytical findings into practical recommendations for cross-functional stakeholders, supporting launch evaluation, community risk management, and communication planning.
Impact
Awarded 3rd place in the Ubisoft business challenge
Delivered a reusable analytics framework for sentiment monitoring and gamer risk detection
