APOSTOLOS GOUNTELITSAS

Drove significant annual revenue uplift by modeling price sensitivity curves and optimizing campaign targeting using regression and Random Forest techniques. Developed predictive models for passenger no-shows and cargo space, and built predictive maintenance models for aircraft components, resulting in substantial cost savings. Applied NLP techniques to extract insights from unstructured text and

Drove significant revenue uplift across strategic flight routes and promotional campaigns by developing and deploying machine learning models for price sensitivity, booking probabilities, and ancillary pricing optimization. Led predictive modeling efforts for passenger no-shows and cargo space forecasting, while also building predictive maintenance models that saved substantial operational costs.

Founded and currently manage two photovoltaic plant companies, with capacities of 20 kW and 100 kW respectively. Oversee the production and sale of electrical energy to the Greek National Provider. Responsible for all aspects of business operations and strategic decision-making.

Founded and managed two photovoltaic (PV) plant companies, overseeing the production and sale of electrical energy to the Greek National Provider. Successfully operated and maintained 20 kW and 100 kW plants, demonstrating strong entrepreneurial and business management capabilities.

Developed and maintained dynamic Tableau dashboards for real-time KPI monitoring, including LTV, Revenue, and Sessions, with automated alerting. Processed large-scale mobile game session data using PySpark on AWS, building and deploying churn and LTV prediction models. Implemented K-means segmentation and established robust data pipelines for continuous model tuning and quality checks.

Built dynamic Tableau dashboards with key KPIs, featuring WoW/MoM/YoY comparisons and automated alerting for real-time decision-making. Processed approximately 50 million daily session records from mobile games using PySpark on AWS via Jupyter. Delivered churn and LTV prediction models along with K-means segmentation, establishing robust pipelines for continuous model tuning and data quality check

Completed a Master of Science in Electrical & Computer Engineering. Focused on a comprehensive curriculum covering various aspects of the field.

Completed a Master of Science in Electrical and Computer Engineering at the National Technical University of Athens. This program provided a strong foundation in engineering principles and prepared me for advanced technical roles.