Professional Summary
Data scientist with ~10 years in ML, NLP, big-data analytics and forecasting. I build predictive models, recommendation and customer-segmentation systems, and real-time call-center optimization, working across large structured and unstructured datasets. Proficient in Python, R, Spark, Hadoop and AWS, with strong grounding in statistical modeling, ETL and BI for data-driven decision-making.
Core Skills
- Languages and ML
- Python, R; TensorFlow, Keras, RNNs, NLP, OCR
- Big Data
- Spark, Hadoop, Hive, MapReduce, Zeppelin
- Cloud
- AWS, Azure, GCP
- Databases
- MySQL, PostgreSQL, MongoDB, Apache SolR, Cassandra
- BI and Viz
- Apache Superset, Power BI, Tableau
Professional Experience
Inotrade AI — Data Scientist
2026 – Present
Istanbul
- Time-series prediction and commodity-market estimation (RNN); crude-oil price forecasting.
- Maintained production ETL pipelines.
Tools: MLflow, Python, R, Apache Airflow, MySQL, PostgreSQL, Docker
Afiniti — Data Scientist II
2021 – 2025
Istanbul
- Real-time ML models for call-center optimization and intelligent customer-agent pairing (CRM + GSM data).
- Built data pipelines and ETL; statistical modeling and continuous model refinement.
Tools: Python, R, Apache Superset, Power BI, MySQL, PostgreSQL, Docker
JustSnap Technology — Data Scientist
2018 – 2021
Istanbul
- NLP, shopper segmentation and basket analysis (RNNs, TensorFlow/Keras); OCR from receipts.
- Category/brand prediction model at 95% accuracy (20% cost reduction); recommendation systems.
Tools: Spark, Hadoop, MapReduce, Python, R, Tableau, Power BI, AWS
Habermetre — Data Analyst Team Lead
2017
Istanbul
- Twitter sentiment analysis on Spark (18GB, 3.6B tweets); LDA topic modeling.
- Led analysts; optimized reporting and workflows.
Tools: Python, SQL, NoSQL, Apache SolR, Cassandra