Position: Data Engineer
Category: Data Analyst
English level: fluent
Years of experience: 5


Senior Business Intelligence Consultant, Paladin Bilisim Hungary 2022-
POC implementation covers a complete assessment of the client’s data with the goal of understanding the primary business requirements
Ingesting data from different sources, design a data model and create awesome insights using PowerBI and Microstrategy

Senior Business Intelligence and Reporting Specialist,
 Assicurazioni Generali S.p.A Turkey 2020-2022
Understanding of business requirements
Designing Etl process with SSIS
Designing reports that display insurance KPI's on SSRS, PowerBI and TIBCO Spotfire

Doga Insurance 2019-2020
Understanding of user data requirements, analysis of source data and designing data models to support analytic reporting.
Designing an ETL process with SSIS.
Designing reports and dashboards that display insurance KPIs such as Average cost per claim, Policy sales growth (%), Loss ratio on IBM Cognos

Obase  2014-17
Creating Microstrategy BI application reports and dashboards. And managed Microstrategy System Administration tasks many sectors such as telecommunications, textiles, insurance
Turkcell (IBM Cognos to Mstr Transfer Project) 

Data Science Earth" is a volunteer community - Insurance research working group leader 2020-
The working group conducts data science studies in insurance with public data sets and works with Python using Numpy, Pandas, Seaborn, Matplotlib, ScikitLearn, Keras libraries.
Safe Driver Prediction: Aimed to detect if the driver is reliable based on certain attributes using the 'Safe Driver Prediction' dataset using classification algorithms. 

Eötvös Loránd University Data Science Msc projects are
Projects Credit Scoring Project : Created a Predictive model which can tell us approve a loan application or not using Classification algorithms (DecisionTree, RandomForest, Support Vector Machine, KNearestNeighbors), and clustering algorithms(KMeans, Hierarchical)
Anomaly Detection in Securing Water Treatment System: Detected anomalies in the SwAT water treatment dataset using SVM, KNN, DBSCAN. 
Emotion Recognition: Built and trained a multimodal deep neural network for emotion detection using tf.keras. (Vgg16, Resnet50)