Freelancer profile translated to English.

Description

With over 10 years of experience in the data field, I have acquired expertise in data analysis, data science, and even analytical team management. I have worked for various types of companies, ranging from an early-stage startup to the growth phase of Malt for 5 years. With this experience, I can guide you in making the right decisions to build a robust analytical strategy with a real vision of self-service.

Indeed, I have actively contributed to large-scale analytical projects:

- the implementation of a self-service BI strategy with Looker while redefining the company's key KPIs

- the redesign of Amplitude to help product teams make data-informed decisions autonomously.

- As a manager, I was also responsible for a team of 5 data analysts, defined team roadmaps, managed stakeholders in my scope, and ensured my teams' progression.

All these experiences have allowed me to acquire solid skills in the analytics field, such as dashboard design, data storytelling, and the implementation of A/B tests. My data science experiences have also given me in-depth knowledge of machine learning with the implementation of several machine learning models in production, such as a search engine.

Whether you need help implementing tools I master, training for your analytics teams, a review of your data organization, or a transition manager for one of your teams, do not hesitate to contact me.

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Lille (up to 50km)

Malt
Data analytics manager
September 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.
Malt
Lead Data Analyst
June 2021 - October 2022 (1 year and 4 months)
Lyon, France
Lead 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.
Malt
Senior Data Scientist
March 2020 - June 2021 (1 year and 3 months)
7th Arr., Lyon, France
Search 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