EGE KARAMELEK

Experienced in data analysis, forecasting, and insight generation using Python, SQL, and Excel. Strong presentation skills with a proven ability to communicate complex findings to stakeholders. Skilled in developing growth and business strategies, with a solid foundation in analytical thinking, problem-solving, and cross-functional collaboration.

• Strategic Thinking
• Problem Solving
• Agile and Result Oriented
• Flexible for Working on Different Tasks

Have won 1st place in the 'Best in Future of Trust' category at the IDC Turkey Future Enterprise Awards with our Fraud in Dealer Operations project. I actively contributed to this project as a consultant, taking part in both the solution development and end-to-end process management

Diction, Effective Speaking, and Presentation Skills

Churn Prediction & Forecasting for Leading E-Commerce Client

Led the development of a churn prediction and forecasting solution for a major player in the e-commerce sector. Leveraged machine learning models to identify customers at risk of churn, utilizing a rich set of business-relevant features derived from transaction-level data. Engineered predictive variables that captured behavioral patterns, purchase frequency, recency, and category affinities. Conducted comprehensive exploratory analysis and feature engineering to support model accuracy and business interpretability. Delivered insight-driven reports and presented findings to the client, offering actionable recommendations and an implementation-ready solution for integration into their CRM and marketing systems.

Bill Payment Forecasting & Risk Modeling for Leading Telco Client

Acted as an analytics consultant in a forecasting project in collaboration with the collections team of a major telecommunications provider. The goal was to predict whether postpaid customers would be able to pay their upcoming bills, and to anticipate the subsequent risk workflows triggered in cases of non-payment. Participated in all key phases of the project lifecycle, including project planning, model development, feature engineering, business unit alignment, and executive-level presentations. Designed and deployed predictive models using customer and billing history data to estimate payment probability and downstream collection paths. Delivered financial impact analyses and model-driven insights to guide strategic planning and operational decision-making. Successfully supported model deployment into production environments for ongoing use by business teams.

Advanced Data Analytics for Merchant and Market Segmentation

In collaboration with a leading global payments company, this project centers on utilizing transaction-level data from a newly established database in Turkey to drive growth-focused insights. The aim is to conduct in-depth data analyses to support merchant growth strategies, with a focus on cardholder segmentation, audience targeting, and market share expansion. As an Consultant, my role involves working closely with transaction-level data to identify growth opportunities, optimize engagement strategies, and uncover actionable insights that directly inform strategic business decisions aimed at scaling our market presence and boosting merchant engagement.