Bilal is available for hire
Hire BilalBilal Ourarhi
Verified Expert in Engineering
Data Scientist and Developer
Paris, France
Toptal member since January 13, 2026
Bio
Bilal is a senior data analyst and data engineer with six years of experience across multiple data domains. He's also an expert in data visualization with Tableau, Microsoft Power BI, and Dataiku (100% certified). Bilal has a strong background in building scalable data solutions, delivering actionable insights, and providing training to technical and non-technical teams.
Portfolio
Groupe Renault
Dataiku, Python, SQL, Agile, Supply Chain, Reporting...
Sibylone
Azure SQL, SQL, Agile, Reporting, Key Performance Indicators (KPIs), Databases...
REST
NoSQL, SQL, R, Agile, Jira, Reporting, Key Performance Indicators (KPIs)...
Experience
- Python - 8 years
- Entity-relationships Model (ERM) - 8 years
- SQL - 8 years
- SAS - 8 years
- Databases - 8 years
- PostgreSQL - 5 years
- Agile - 5 years
- Dataiku - 4 years
Preferred Environment
Windows, SQL, SAS, SAP, Python, Google Cloud Platform (GCP), Azure SQL, Dataiku, R, Tableau, Microsoft Power BI, RStudio Shiny
The most amazing...
...web apps I've developed to manage transfers between warehouses for a big retail industry leveraged Dataiku, Python, and RStudio Shiny modules.
Work Experience
Data Scientist
2024 - PRESENT
Groupe Renault
- Collected, cleaned, and structured the data necessary for analysis, with the goal of leveraging it in Dataiku for the end-of-life inventory management project.
- Developed web applications that allow users to input data or make selections through a simple and intuitive human-machine interface (HMI).
- Created and monitored the project roadmap to ensure deadlines were met, with bi-weekly presentations to stakeholders and tracking of progress.
- Led group and one-on-one coaching sessions to train internal teams and clients on using Dataiku, tailored to their specific needs.
- Converted existing SQL queries into Dataiku workflows to automate data processing and analysis.
- Presented developed tools to Renault factory teams, with practical demonstrations on using the web apps. Trained an algorithm that takes into account user choices based on presented data, with a reliability score.
- Identified and helped eliminate a structural logistics inefficiency that had persisted for over 25 years, related to the incorrect warehouse assignment of oversized automotive parts.
- Led a focused improvement initiative combining operational analysis, process redesign, and Spotfire-based investigations to address misallocation of oversized parts and improve warehouse routing decisions.
- Contributed to reducing avoidable logistics costs, unnecessary transport flows, incorrect warehouse space occupation, and supply delays affecting customer service.
- Delivered a high-impact industrial use case generating €1 million in savings on a single vehicle prototype, with strong potential to save several million euros annually at scale.
Technologies: Dataiku, Python, SQL, Agile, Supply Chain, Reporting, Key Performance Indicators (KPIs), Spotfire, Looker, Databases, Data Engineering, Excel VBA, BigQuery, Data Quality, Data Visualization, Dashboards, Microsoft Power BI, Business Intelligence (BI), DAX, Excel 365, Microsoft Excel, Data Analysis, Data Quality Analysis, CSV, ETL, Data Governance, Requirements Analysis, Large Data Sets, PySpark, NoSQL, Data Modeling, Complex Data Analysis, Data Science, Data Analytics, Synthetic Data Generation, AI Modeling, Google Cloud Platform (GCP), Windows, Business, Trend Analysis, MySQL, Power Query, Generative Artificial Intelligence (GenAI), Agentic Coding, Cloud Infrastructure, JavaScript, Large Language Models (LLMs), AI Model Training, Linux, Debugging, Site Reliability, Data Reporting, Dashboard Design, Data Extraction, Data Cleaning, Data Auditing, Google Sheets, Categorization, Data Build Tool (dbt), ELT
Data Analyst
2022 - 2024
Sibylone
- Collaborated within a team composed of data engineers and a project manager, serving as a key intermediary between technical and business teams, facilitating communication and understanding of project goals.
- Trained both business and technical teams on the use of Dataiku, with tailored coaching sessions (group or individual), ensuring a rapid and effective adoption of the tool.
- Developed detailed technical specifications to ensure proper information transfer between technical and business teams, guaranteeing the successful implementation of projects.
- Defined and monitored the project roadmap, replacing the project manager, ensuring deadlines and priorities were met, and coordinating various stages of the migration process.
- Prepared and cleaned complex data, ensuring its quality and compliance for analysis by data science teams.
- Helped to design interactive dashboards in Tableau for visualizing results and aiding stakeholders in decision-making.
- Monitored and resolved technical incidents related to Dataiku, ensuring optimal stability of production environments and continuity of operations.
- Led the SAS decommissioning project, overseeing the migration of analytical programs to Dataiku in order to reduce dependency on proprietary tools and modernize data workflows on an Azure-based environment.
- Reduced SAS query-related resource and financial costs by more than 80% by redesigning legacy processing logic into optimized Dataiku flows and promoting more efficient usage practices.
Technologies: Azure SQL, SQL, Agile, Reporting, Key Performance Indicators (KPIs), Databases, Data Engineering, Azure, BigQuery, Data Quality, Data Visualization, Dashboards, Snowflake, Microsoft Power BI, Business Intelligence (BI), DAX, Excel 365, Microsoft Excel, Data Analysis, Python, Data Quality Analysis, CSV, ETL, Data Governance, Requirements Analysis, Large Data Sets, PySpark, NoSQL, Data Modeling, Complex Data Analysis, Data Science, Data Analytics, Synthetic Data Generation, Tableau, Google Cloud Platform (GCP), SAP, Windows, Business, Trend Analysis, MySQL, Power Query, Generative Artificial Intelligence (GenAI), Agentic Coding, Cloud Infrastructure, JavaScript, Large Language Models (LLMs), AI Model Training, Linux, Debugging, Site Reliability, Data Reporting, Dashboard Design, Data Extraction, Data Cleaning, Data Auditing, Google Sheets, Categorization, ELT, Data Build Tool (dbt)
Data Analyst
2020 - 2022
REST
- Collaborated with stakeholders to define project objectives and, as a product owner, managed coordination between technical and business teams, while optimizing decision-making processes.
- Created key performance indicators (KPIs) and tracking tools to measure project progress and identify areas for improvement.
- Trained internal teams and clients on using data analysis tools, and mentored an intern to foster skill development.
- Built reports and interactive data visualizations to present results clearly and visually, facilitating understanding for stakeholders.
- Engaged with clients regularly to identify their needs, propose tailored solutions, and ensure satisfaction, while improving processes based on client feedback.
- Developed task planning and distributed assignments within the team based on skills and workload, ensuring deadlines were met.
- Proposed tailored solutions by staying up to date with the latest trends and using advanced analysis tools to address client challenges.
- Identified challenges throughout projects in collaboration with technical and business teams, providing quick solutions to ensure operational continuity.
- Built ESG-focused reporting and performance monitoring tools to help clients assess key indicators, prioritize actions, and improve asset and project management.
- Delivered analytical solutions that contributed to millions of euros in savings in France and Italy by helping clients identify optimization opportunities related to vacant lots and underused real estate assets.
Technologies: NoSQL, SQL, R, Agile, Jira, Reporting, Key Performance Indicators (KPIs), RStudio Shiny, Databases, Excel VBA, Data Quality, Data Visualization, Dashboards, Snowflake, Business Intelligence (BI), Excel 365, Microsoft Excel, Data Analysis, Data Quality Analysis, CSV, ETL, Requirements Analysis, Large Data Sets, Data Engineering, Data Modeling, Complex Data Analysis, Data Science, Data Analytics, Tableau, Windows, Business, Trend Analysis, MySQL, Power Query, Agentic Coding, JavaScript, Large Language Models (LLMs), AI Model Training, Linux, Debugging, Site Reliability, Data Reporting, Dashboard Design, Data Extraction, Data Cleaning, Data Auditing, Google Sheets, Categorization, ELT
Experience
Baseball Database
This project involved developing a database that contains all information regarding a baseball league, including many restrictions (trades, sales, contracts) and queries. The client has validated all the steps involved in the process.
Education
2017 - 2020
Master's Degree in Mathematics and Computer Science
Paris Descartes University - Paris, France
Certifications
DECEMBER 2024 - PRESENT
Dataiku MLOps Practitioner
Dataiku Academy
DECEMBER 2024 - PRESENT
Dataiku Generatve AI Practitioner
Dataiku Academy
DECEMBER 2024 - PRESENT
Dataiku Developer
Dataiku Academy
OCTOBER 2022 - PRESENT
Dataiku Advanced Designer
Dataiku Academy
SEPTEMBER 2022 - PRESENT
Dataiku ML Practitioner
Dataiku Academy
SEPTEMBER 2022 - PRESENT
Dataiku Core Designer
Dataiku Academy
Skills
Libraries/APIs
PySpark
Tools
Microsoft Power BI, Microsoft Excel, Google Sheets, Tableau, Looker, Spotfire, BigQuery, Power Query, Jira
Languages
SQL, Python, R, SAS, Excel VBA, Snowflake, JavaScript
Paradigms
Business Intelligence (BI), Requirements Analysis, Agile, ETL, Synthetic Data Generation
Platforms
Windows, Google Cloud Platform (GCP), Dataiku, Linux, Azure
Storage
PostgreSQL, Databases, MySQL, Azure SQL, NoSQL
Frameworks
RStudio Shiny
Other
Entity-relationships Model (ERM), Key Performance Indicators (KPIs), Reporting, Data Engineering, Data Quality, Data Visualization, Dashboards, DAX, Excel 365, Data Analysis, Data Quality Analysis, CSV, Large Data Sets, Data Modeling, Complex Data Analysis, Data Science, Data Analytics, Business, Trend Analysis, Generative Artificial Intelligence (GenAI), Agentic Coding, Data Reporting, Data Extraction, Data Cleaning, Data Auditing, Categorization, ELT, Cloud Infrastructure, Large Language Models (LLMs), AI Model Training, Debugging, Site Reliability, Dashboard Design, Data Build Tool (dbt), SAP, Mathematics, Computer Science, Machine Learning Operations (MLOps), Supply Chain, Data Governance, AI Modeling
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