Ergin Egeli

• Extracted sales, marketing performance and customer interest data using BigQuery, Hive and SQL daily. • Cleaned large datasets with Pandas and Numpy in Python. • Performed different types of analysis such as linear regression, random forest and K-means clustering for descriptive and predictive analytics. Used machine learning algorithms with Scikit-Learn and SciPy. • Visualized insights and analysis results with Power BI. Prepared client presentations with these insights.

• Gathered data about European and Australian financial institutions with a focus on pension pillars, competition, potential clients and regulations in the cloud banking industry. Translated this data into business insights in order to help the management team make decisions about international expansion. • Prepared business cases about the Australian and German markets and used analysis tools such as Porter’s Five Forces and decision trees.

• Evaluated more than 100 startups that applied to participate in the BIC 101 Accelerator Program. • Worked closely with startups to help them prepare pitch decks for investor meetings.