About Timothée
French
Native or bilingual
English
Fluent
Experience
- MaltData analytics managerSeptember 2022 - Today (3 years and 9 months)Lyon, France- Led a team of 5 data analysts, fostering a collaborative and innovative culture.- Developed and executed strategic plans, aligning data initiatives with business objectives.- Conducted performance evaluations and provided targeted feedback for individual and team growth.- Collaborated with internal stakeholders to deliver actionable insights and drive data-driven decision-making.
- MaltLead Data AnalystJune 2021 - October 2022 (1 year and 4 months)Lyon, FranceLead in a team from 6 to 9 data analysts. Key projects: 1- Self-Service Data Analysis on Looker:- Organized and structured data for a self-service tool on Looker.- Identified key performance indicators (KPIs) and structured main dashboards.- Developed clear and user-friendly explores for efficient data navigation.- Conducted training sessions to empower teams with data analysis skills. 2-Transition to Amplitude for Product Analytics:- Successfully migrated the product analytics tool from Heap to Amplitude.- Implemented a cleaner tracking plan and defined a new collaborative approach.- Conducted training sessions to facilitate the team's transition to the new tool.- Collaboration with Product Teams for Insights: 3- Collaborated closely with product teams to extract insights.- Contributed to the development of product recommendations- Monitored the launch of new features through A/B testing. 4 -Data Modeling Revamp:- Restructured data modeling into three layers (raw, cleaned, analytics) using a star schema.- Improved team efficiency in utilizing tables for data analysis. 5 -Team Mentoring:- Mentored a team of data analysts on various subjects related to product, sales operations, and marketing.
- MaltSenior Data ScientistMarch 2020 - June 2021 (1 year and 3 months)7th Arr., Lyon, FranceSearch Engine Improvement Project:- Context: Malt's freelancer search engine show 25% irrelevant results on the first result page.- Solution: Developed a ranker using machine learning techniques.- Results: Increased relevance of search results, improving by 10% the click through rate on our search engine. Sourcing Algorithm:- Context: Introduced an alternative method for clients to find freelancers by sending briefs.- Solution: Built a machine learning algorithm from scratch to automatically identify relevant freelancers.- Results: The algorithm successfully identified 80% of freelancers who secured projects through Malt's sourcing method Python: pandas, scikit-learn, xgboost, TensorFlow, GCP, Airflow
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Education
- Master of ScienceEcole Nationale Supérieure d'Informatique et de Mathématiques Appliquées de Grenoble2015Master of Science (M.S.), Big Data