Data Scientist

Location
France
Rate, USD
Not specified
Work schedule
Full Time,
Language skills
Chinese, English, French
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About me

Experienced bilingual professional with dual citizenship (French and United States) and a master’s degree in Data Intelligence. Fluent in both French and English. Skilled in Python, SQL, and Backend Engineering. Proficient in Data Science, Data Analytics, and Business Analysis. Strong capabilities in statistical analysis, machine learning, and product management. Demonstrated ability to provide data-driven insights and lead crossfunctional teams. Actively involved in AI-focused projects and co-founding initiatives, showcasing a genuine passion for innovation and collaboratio


Professional area



Education

2018/2023 Masters in Data Intelligence @ ISEP
2022 Berkeley Global Access Program @ University of California, Berkeley

Experience

Feb 2023 / Aug 2023 Data Science Intern @ Reveal

• Conceptualized, developed, and iterated upon a highly effective Machine Learning-based recommendation algorithm, remarkably enhancing the relevance and volume of suggested partners by a notable 76% by incorporating over 40 features based on CRM data and Graph metrics (NetworkX)
• Created a LinkedIn industry mapping algorithm combining embedding technologies (Bert, Sentence-Transformers, OpenAI) and an efficient supervised neural network model, to significantly propel industry normalization accuracy from an initial 72% to an impressive 98%
• Engineered a streamlined automated Python script to seamlessly generate over 50+ meticulously refined aggregated lists of new prospects to
premium users, catalyzing a substantial average ROI surge of up to 300%
• Increased the data quality by 80% on the Analytics page by conducting rigorous statistical tests (1M+ data points) and integrating a robust BoxCox algorithm to eliminate outliers with a 95% confidence level
• Implemented in production 20+ Python unit tests (Pytest framework) of the previous solution, ensuring 100% stability in data computation and comprehensive coverage of use cases to prevent future bugs
• Investigated multiple LLM models, including GPT-3.5, to enrich missing CRM data by 33%

Jul 2021 / Dec 2021 Business Analyst Intern @ SouthPigalle

• Led the “Care Advisor Project” for Van Cleef & Arpels, orchestrating a successful 6-month implementation of a multilingual Natural Language Understanding (NLU)-based virtual assistant with consistent client interactions
• Achieved a notable 80% decrease in service request triggering time by deploying the Care Advisor on VCA’s website, alongside a remarkable 62% upswing in customer satisfaction verified through VCA’s survey
• Developed and deployed a robust Python-based correction system for the NLU-based assistant, incorporating 5K+ use cases. Expertly integrated it into the product’s back-office, resulting in an 8-hour/week reduction in operational costs
• Engineered weekly KPI reports with Google Looker Studio for Dior Visual Merchandising and drive a 40% improvement in global boutique visual merchandising effectiveness as reported by boutique managers
• Authored comprehensive specs for “Kellogg’s Wellbeing Project” and created over 100 JIRA tickets, effectively guiding the development team in a 25% reduction in delivery time and a 65% decrease in bug-fixing cycles as measured by JIRA Control Chart


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