Imane Tailouloute
@imanetailouloute
Curious and versatile Data Scientist with 3 years of experience.
What I'm looking for
I am a Data Scientist with three years of experience transforming complex data into actionable insights. My journey has been marked by a strong focus on solving real-world problems through machine learning. At Butachimie, I developed and deployed machine learning models for anomaly detection in industrial sensor data, successfully identifying Freon leaks and reducing gas loss by 25%. I also led a digital transformation initiative that improved operational visibility and reduced search times by 35%.
My previous role at CNRS involved collaborating with multidisciplinary teams to design and implement predictive models and machine learning algorithms. I am passionate about utilizing data visualization tools like Tableau and Power BI to create interactive dashboards that empower stakeholders to monitor key metrics. I thrive in dynamic team environments and am eager to contribute to impactful, data-driven projects.
Experience
Work history, roles, and key accomplishments
Data Science Engineer
Butachimie
Jun 2023 - Present (2 years 3 months)
Developed and deployed machine learning models for anomaly detection in industrial sensor data, identifying Freon leaks and reducing gas loss by 25%. Led project management for a digital transformation initiative focused on real-time tracking of personnel and assets, improving operational visibility and reducing search times by 35%.
R&D Engineer in Artificial Intelligence
CNRS – Clermont Physics Laboratory
Dec 2022 - Present (2 years 9 months)
Collaborated with multidisciplinary teams and contributed to project specifications within the environmental division. Set up infrastructure; collected, cleaned, modeled, and visualized data. Designed, developed, and implemented predictive models and machine learning algorithms.
Assistant Project Manager – Logistics Digitalization
Forvia
Jul 2021 - Present (4 years 2 months)
Configured ERP systems (E-storage, E-kanban) to digitize inventory management processes. Designed and implemented a machine learning model to forecast stock levels, improving inventory accuracy. Created a VBA-based visual management tool to monitor stock status efficiently.
Machine Learning Engineering Intern
Forges Industrielles du Maroc
Jul 2020 - Present (5 years 2 months)
Conducted QHSE risk analyses to enhance workplace safety protocols. Customized YOLOv3 algorithm for automated detection of personal protective equipment (PPE).
Education
Degrees, certifications, and relevant coursework
Ecole Nationale Supérieure d'Arts et Métiers
Engineering Degree, Artificial Intelligence and Data Science
Pursued an Engineering Degree at the Master's level, specializing in Artificial Intelligence and Data Science. The curriculum covered advanced concepts in AI, machine learning, and data analysis, preparing for roles in data-intensive environments.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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