- First big project for customer retail purposes, Churn Prediction Forecast Model. Time-series classification problem. - Full live project handover responsibility from externals to internal. Smart Risk Project for the credit management. Leading the internal team for the project which generates 3.5m € in a year.- Pattern detection models for the business needs

• Authored and developed own projects focused on diversity and social challenges, covering the main processes of Data Analysis.• Analyze Data using Python libraries (e.g., Pandas, NumPy) & MYSQL• Visualize data using Tableau and Python libraries (Plotly and Seaborn)• Build and deploy Machine Learning models and Pipelines (Scikit-Learn).• Use inferential statistics in Python and Business Intelligence.• Execute data wrangling, data cleaning, APIs and web scraping.Two main projects:- Analysis of the Winemag dataset for the different wines and combining with other dataset to predict the best scored wines. Used: SQL, EDA, Machine Learning Models, Clustering, Pipeline, and Tableau- Conducted a comprehensive data analysis of the Book recommendation systems, understanding the different models. This project included: API's, EDA, Machine Learning Model (Random Forest), Pipeline, and Tableau.Collaborated in teams to perform tasks such as data cleaning, exploratory data analysis, clustering and machine learning model building. Five of the main topics and challenges:- Developed a music recommender - Solving classification problems- Customer analysis - Predicting target customers- Profit analysis -Improving revenues- Statistical hypothesis testing- Presented results through data visualisation, tableau dashboards and storytelling.

- Developed alliance with the 2 Foreign Consulates in Istanbul.- Presented business strategies and weekly reports of approximately 50k $ profit to decision makers.- Promoted to lead a financial team with 8 people and created weekly KPIs.- Led the audit team and arranged weekly meetings with the consulates.- Influenced Financial Department Manager with weekly analysis.- Data analysis on annual report for CEO and Managers.

• Internship in the marketing department.• Developed a competitor analysis, prepared weekly reports and KPIs.• Updated booking.com, managed the marketing strategies with the 5 people team.

• Transfer specialist and city tour guide for the tourists from more than 10 different countries.• Consulted customers and managing the logistics by weekly plans.• Arranged the meetings and KPI planning.