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Data Scientist specializing in time series modeling, anomaly detection, and Bayesian methods

Yetenek

IstanbulÜyelik tarihi 13 Mayıs 2026

Anomaly detectionSynthetic data generationPythonPandasNumPyPlotlyPyMC3FastAPIInfluxDBscikit-learnPyTorchApache KafkaData ingestion

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Anomaly detectionSynthetic data generationPythonPandasNumPy

Hakkında

Data Scientist specializing in time series modeling, anomaly detection, and Bayesian methods, with hands-on experience at Türk Telekom building production-scale analytics for 1M+ users. End-to-end background spanning data engineering (Kafka, Spark), machine learning (PyTorch, scikit-learn), and API development (FastAPI) — from raw data ingestion through to deployed models. MSc research focused on Bayesian synthetic data generation as a GAN alternative, with results exceeding GAN baselines.

Deneyim

Data Analyst – Network Analytics at Türk Telekom (2021-12 – 2023-08)

Analyzed large-scale time series data to identify trends, anomalies, and usage patterns across network systems serving 1M+ users.
Applied statistical and rule-based anomaly detection techniques to reduce incident frequency by 15%.
Built data-driven monitoring workflows improving system reliability and contributing to 99.9% uptime.
Performed exploratory data analysis (EDA) to uncover patterns and support capacity planning decisions.
Collaborated with technical teams to translate data insights into operational improvements.

Junior Backend Developer at Reybex Cloud ERP (2021-01 – 2021-06)

Improved ERP system performance by profiling backend bottlenecks and refactoring Grails-based code, reducing average API latency by 30%.
Designed database queries and integrated new features while ensuring data integrity across modules accessed by 1,000+ daily users.
Conducted log-based error analysis to identify recurring issues and improve overall backend stability.

Software Intern at Elips IT Solutions (2020-11 – 2021-01)