Gui***kow

Data Scientist - Machine Learning

Education

OpenClassrooms

OpenClassrooms (2024 - 2025)

  • Degree: Data Analyst
  • Description: Grade: Certification professionnelle RNCP de niveau 6. Formation orientée Business Intelligence / Data Analyst : collecte, analyse et synthèse de données pour faciliter la prise de décisions stratégiques et commerciales.

OpenClassrooms (2019 - 2019)

  • Degree: Gestionnaire Maintenance Informatique
  • Description: Grade: Certification professionnelle RNCP de niveau 5. Parcours axé sur les réseaux et protocoles, service helpdesk, gestion de serveur et services (Active Directory, etc.).

Skills:

Algorithmes, Management, Python, Analyse des données, Bases de données, Réseaux informatiques, Helpdesk, Téléphonie

Work Experience:

Data Scientist - Machine Learning at ACESI

  • Location: Hybrid
  • Duration: Oct 2025 to Present
  • Description: Formation Data Scientist Machine Learning en alternance via OpenClassrooms. Le data scientist machine learning est spécialisé dans l'entraînement et le déploiement des modèles d’apprentissage automatiques. Au sein d’une équipe data, il est en charge de créer des algorithmes et de concevoir des programmes auto-apprenants.

Data Analyst BI at ACESI

  • Location: Hybrid
  • Duration: Apr 2024 to Sep 2025
  • Description: Formation Business Intelligence Analyst en alternance via OpenClassrooms. Le Business Intelligence (ou “informatique décisionnelle”) regroupe des outils et méthodes pour rendre l’information plus accessible et compréhensible. Le Business Intelligence Analyst (Data Analyst BI) facilite la prise de décisions stratégiques et commerciales en collectant, en analysant et en synthétisant des données variées.

Service Delivery Manager at ACESI

  • Duration: Mar 2023 to Apr 2024
  • Description: Organisateur et planificateur des activités en lien avec le service affecté, également Incident Manager (gestion des tickets, incidents de masse et gestion des sollicitations). En charge de la planification des interventions sur les sites clients, de la création des dossiers de site, et des projets et support liés au Télécom.

Technicien support at ACESI

  • Duration: Jun 2020 to Mar 2023
  • Description: Mettre le client et ses intérêts au centre ; écoute, compréhension et apport d'expertise pour résoudre les problématiques des utilisateurs. Première expérience terrain en informatique, acquisition de compétences et d'expérience (réseaux, helpdesk, support utilisateur).

Vendeur at Decathlon France

  • Location: Sarrebourg
  • Duration: Jan 2012 to Apr 2019
  • Description: Vendeur leader sur l'univers nature : accueil, conseils, gestion des stocks, préparation et installation du matériel, développement d'une politique commerciale adaptée au secteur.

Tireur ACCP at Armée de Terre

  • Location: Donaueschingen
  • Duration: Dec 2004 to Dec 2009
  • Description: Spécialisation dans le domaine antichar puis chef de pièce. Développement de rigueur, prise d'initiative et souci du détail.
AI Resume Analysis

Candidate Intelligence Report

AI-powered analysis from the perspective of a US hiring director — evaluating career continuity, growth trajectory, and role fit.

Career Continuity & Risk Assessment

Employment GapMedium

Notable gaps exist: 2009–2012 (approx. 2–3 years) between military service and retail roles, and a potential gap around 2019–2020 before joining ACESI. Overall, these gaps are manageable but warrant explanation during interviews.

Industry ConsistencyMedium

Career spans military, retail, IT services, and data roles. While mostly tech/data-oriented, the shift to retail and varied industries introduces some inconsistency; however, the core competencies remain relevant to data and tech functions.

Tenure StabilityMedium

Long stints earlier (military, Decathlon) contrast with several shorter periods in recent ACESI roles (Tech Support → Service Delivery Manager → Data Analyst BI → Data Scientist ML). This suggests some movement within a company, though still within a coherent data/IT trajectory.

Education-Career MatchLow

Educational path (OpenClassrooms) aligns well with progressive data/ML roles and the candidate has integrated formal training into job roles, supporting a strong match to data-centric positions.

Career Growth Curve

Tireur ACCP Entry
Armée de Terre
Dec 2004 – Dec 2009
Vendeur Lateral
Decathlon France
Jan 2012 – Apr 2019
Technicien support Entry
ACESI
Jun 2020 – Mar 2023
Service Delivery Manager ↑ Promoted
ACESI
Mar 2023 – Apr 2024
Data Analyst BI ↑ Promoted
ACESI
Apr 2024 – Sep 2025
Data Scientist - Machine Learning ↑ Promoted
ACESI
Oct 2025 – Present
Assessment: Guillaume's career demonstrates a deliberate march into data science through progressive roles and formal training. The trajectory is upward, with growing technical depth and leadership experience; with additional US-market exposure, he could target mid-level data science and ML engineering roles, potentially advancing to senior positions within 1–2 years.

Best-Fit Roles (Top 5)

1

Data Scientist / Machine Learning Engineer (Mid-level)95% fit

Direct alignment with current focus and deployed ML experience; strong Python and model deployment skills; recent OpenClassrooms training.

2

Data Analyst / BI Analyst (Mid-level)90% fit

Solid data analysis background with BI training; ability to translate data into actionable insights; prior BI experience.

3

ML Engineer / Applied ML Engineer88% fit

Engineering-oriented ML skill set, deployment ability, and algorithm development; fits with ML track.

4

Data Engineer (Python/SQL focus)82% fit

Strong data handling, databases knowledge, and Python; potential to build data pipelines; may require additional data engineering exposure.

5

Technical Project Manager / IT Service Delivery Lead72% fit

Proven leadership and incident management experience; can bridge data projects with operations in a cross-functional setting.

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