Hello, I'm Estelle!

Key Achievements

• Built and scaled team of 5 analytics engineers delivering foundational models across Product, Sales, Finance, and Customer Success while maintaining 100% platform stability during critical transition
• Reduced technical debt by 40%+ and implemented automated CI/CD workflows that cut deployment time from days to minutes
• Established IPO-ready data security infrastructure with automated permission management and modern BI tooling, while authoring comprehensive guides that scaled team autonomy

Key Achievements

• Led end-to-end data modeling projects from extraction, load & transformation to self-service
• Reduced CI time from 1h+ to <2min through the implementation of a deploy job & model config optimization
• Reduced number of incidents & review time through custom CI & hooks ensuring code quality on all contributions

Key Achievements

• Reduced number of customer escalations from 20 to 2 per month by migrating data models from old stack (Airflow, DOMO) to new (dbt, BigQuery, Fivetran)
• Cut number of incidents by half by setting up automatic tests both on a daily basis to proactively fix data quality issues and on code changes for continuous integration
• Increased analytics team impact by setting up a technical roadmap, recruiting 4 engineers, producing self-service documentation and upskilling via code reviews & mentoring

Key Achievements

• Saved $10M+ in portfolio & pricing optimization by designing hierarchical Bayes estimation with choice-based conjoint research to understand customer behavior
• Used Machine Learning to provide quantitative & qualitative recommendations based on customer insight
• Optimized research designing from 5 days to 1 through the automation of processes

Key Achievements

• Prepared business data & slides for pitch deck to raise $36M in series B round
• Analyzed & forecast marketing and sales performance to recommend data-driven strategies
• Worked cross-teams on systematic tracking of KPIs; optimized sales & marketing processes

Key Achievements

• Applied statistical machine learning models to build linguistic glossaries
• Implemented recurrent neural network to translate languages with limited data