Ufuk Y.

Data Scientist

Turkey

Trusted member since 2025

7 years of experience

One of his key achievements was leading a high-impact project for a major airline, where he developed a demand forecasting and product load optimization system for in-flight sales. The solution addressed complex data and operational constraints, resulting in a 7% increase in monthly profit and a 20% reduction in product waste.

Ufuk delivers data science solutions that combine strong technical foundations with clear business impact.

Main expertise

Python5 years

Data Science5 years

SQL5 years

Problem solving7 years

14+

Experience4

Senior Data Scientist

GTECH•

Information Technology (IT) and Services

Jan 2024 · 2y 6m

Developed a predictive system for in-flight sales forecasting and inventory optimization, enabling data-driven product loading strategies for airline operations
Increased monthly profits by 7% and reduced product waste by 20%, contributing to the airline being recognized among Turkey’s 50 most innovative companies
Conducted customer segmentation using Google Analytics data and K-Means clustering to uncover purchase patterns and demographic insights for targeted marketing
Built a Generative AI Text-to-SQL system using LangChain and LlamaIndex, enabling natural language querying of databases for non-technical users
Delivered a Data Science training program for Dashen Bank in Ethiopia, teaching 8 professionals machine learning and statistical analysis through hands-on projects
Contributed to the SafeRoute-6G research initiative, developing models for fuel consumption, rest stop detection, and traffic accident hotspot analysis

PostgreSQL

Python

SQL

Data Science

TensorFlow

Data Scientist

GTECH•

Information Technology (IT) and Services

Jan 2022 - Jan 2024 · 2y

Developed predictive models for early redemption and credit prepayment risk in deposit and loan accounts using survival analysis techniques (Cox proportional hazards, Kaplan–Meier) and machine learning (XGBSE)
Calculated core deposit ratios to evaluate customer retention and deposit stability, supporting long-term financial planning and risk assessment
Designed and implemented a shift optimization system driven by sales predictions per store aisle, improving staffing efficiency and operational performance

Python

SQL

Azure ML

Vertex AI

Junior Data Scientist

GTECH•

Information Technology (IT) and Services

Apr 2021 - Jan 2022 · 9m

Led the migration from SAS to SQL for credit risk analytics, ensuring a seamless transition of data pipelines, analytics workflows, and reporting while preserving output fidelity
Optimized large-scale data processing in SQL and implemented scheduled workflows aligned with IFRS 9 credit risk standards
Designed a configurable time series forecasting model using PySpark on Microsoft Azure, enabling flexible customer demand predictions across industries
Delivered a scalable forecasting solution featured in the Azure Marketplace
Engineered an end-to-end real-time big data pipeline using the Cloudera ecosystem, integrating Python, HDFS, Hive, Impala, Druid, and Superset for seamless ingestion, processing, and visualization of streaming data

Python

SQL

SAS

Hadoop

Apache Superset

PySpark

Software Engineer

Papilon Defense•

Information Technology (IT) and Services

Jun 2020 - Feb 2021 · 8m

Collected and labeled image data for model training in an image processing pipeline aimed at real-time license plate detection
Performed web scraping to gather a comprehensive dataset of license plate images, followed by manual labeling of individual letters and numbers
Developed a real-time license plate detection system using YOLOv3, leveraging the Darknet-53 CNN architecture with 53 convolutional layers for high-accuracy object detection
Preprocessed and curated training data to ensure optimal performance and generalizability of the detection model

Python

Data Science