Description

Do you have data but struggle to extract clear insights from it?

→ I help you explore, clean, and analyze your data to identify patterns and turn them into actionable decisions.

Do you need predictive models or machine learning solutions?

→ I design and build models for forecasting, classification, anomaly detection, and performance optimization based on real-world data.

Do you want dashboards or reporting that people actually use?

→ I create clear, practical dashboards and visualizations that make your data accessible to both technical and non-technical teams.

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I’m a Data Analyst / Scientist with 5+ years of experience working on industrial and energy data, where reliability and real impact matter.

I also built a full analytics product from scratch, covering data ingestion, transformation, and insight delivery.

I focus on simple, efficient, and practical solutions that align with real business needs.

Langues

Anglais
Bilingue ou natif
Turc
Bilingue ou natif
Français
Notions

Préférences en matière de lieu de travail

Accepte de travailler sur site

Paris (jusqu’à 50 km)

STATSLEAD
Founder / Product Owner
EDITION DE LOGICIELS
janvier 2025 - Aujourd'hui (1 an et 5 mois)
• Ongoing analytics platform focused on scalable data processing and real-time insights
• Designed and built a live NBA analytics platform from scratch, owning the full product from data architecture to analytical output
• Engineered an end-to-end automated data pipeline including API ingestion, preprocessing, and transformation workflows
• Developed scalable backend architecture using cloud database solutions for efficient data storage and querying
• Built advanced team and player performance analysis modules with multi-dimensional statistical breakdowns
• Designed and structured the full web application, including page architecture, data presentation logic, and user experience flow architecture

• Maintaining and improving a live public product in collaboration with a frontend developer
API SQL Data visualization ETL Big Data
FORD OTOSAN
Data Analyst / Scientist
AUTOMOBILE
juin 2022 - octobre 2024 (2 ans et 4 mois)
İstanbul, Türkiye
• Developed and deployed ML models to identify failure across welding line operations, cutting unplanned downtime by ~30%
• Developed predictive models for vehicle battery performance, enhancing lifecycle estimation under real operational conditions
• Designed data-driven root cause analysis systems by detecting error frequency across quality zones
• Designed and delivered real-time Tableau dashboards, enabling proactive decision-making for non-technical stakeholders
• Contributed data solutions to the EU-funded FlexIndustries Horizon project, working alongside external partners across Europe
Python Machine learning ETL Tableau software Big Data
PURE ENERGY
Data Scientist
ENERGIE
juillet 2020 - mai 2022 (1 an et 10 mois)
İstanbul, Türkiye
• Replaced manual Excel-based demand forecasting process with a fully automated ML pipeline, improving prediction accuracy and reducing manual workload
• Implemented time-series forecasting models for renewable energy generation, supporting trading decision-making
• Built automated EDA reporting pipelines on historical intraday electricity market data, increasing reporting efficiency
• Built weather data based hydro-season classification model to predict wet vs. dry year for energy procurement decisions
Machine learning Python Data analysis Data visualization Analyse exploratoire des données