Clément Convert

Implemented and deployed a personalized ML-based recommender system used for rankings on a B2B marketplace in cooperation with Marketplace and Product teams. Our A/B test showed a two digits increase in conversion.
- Analyzed customer behaviours on the platform to guide the model development
- Performed in-depth offline evaluations of the rankings and presented it to several stakeholders (CCO, CPO)
- Wrote production level Python code (Tests, CI/CD, OOP)
- Deployed the pipeline using Apache Airflow
Improved upon items recommendations using hybrid vector search through a vector database (Weaviate Python Client), ensuring an appropriate balance between diversity and recall
Responsible for data engineering problems, developing the company’s Data Warehouse using DBT, writing SQL scripts to maintain the company’s BigQuery database
Identified business stakeholders (CFO, COO) needs in terms of external data sources, designed and deployed end-to-end integration pipelines using Zapier, Spreadsheets API and third party providers (Dataddo)

Business intelligence intern - Spacefill (Mar 2021 - Aug 2021)

Developed Python automation pipelines for invoicing and outsourcing processes
Programmed and deployed a REST API using Flask and Heroku for a client cost estimation calculator
Built Metabase dashboards in collaboration with various stakeholders (CEO, COO, Head of Sales) to keep track of global KPIs and their teams performance
Wrote SQL scripts and pipelines for data quality control of the company’s PostgreSQL database

Financial audit intern - Earnst & Young (Sep 2020 - Mar 2021)

Audited Fortune 500 firms (Louis Vuitton), checking for the accuracy and reliability of their financial statements (Excel), working alongside senior team members, meeting tight deadlines
Led meetings with senior stakeholders (VP Financial Control) and analyzed the audited companies business cycle (turnover, cost structure, etc.) in order to define the audit strategy to be adopted

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