• prediction of default on payment: wing-to-wing implementation using Python and Pandas • segmented core business users to describe non-core business users using K-means cluster analysis in software package R • comprehensive cohort study for purpose of retention and cross-sell, implemented in MySQL • investigation into drivers of inactivity

eOptika Kft. | Aug 2015 - Present

Senior Data Scientist / Business Analyst

• design retail data pipeline using MySQL including consolidation of transaction-level data into product-level and user-level view of the business. Results are fed into marketing automation tools and reporting tool like Power BI, • mix analysis: finding forces that affect the gross margin monthly fluctuations using MySQL. • decision tree model that predicts if a trial buyer will return for a second purchase event (second purchase is very important to increase customer loyalty in ecommerce). Model is implemented in R. • decision tree model for preventing disloyalty of returning customers. Model is implemented in R.

Morgan Stanley | Jul 2012 - Dec 2013

Business Analyst

- strategic resource planning and reporting; - team and function maturity progression: monitored functions and places where cost advantages could be achieved by merging and developing functions in one location or regressing other functions in other location.

GE Capital | Jan 2010 - Jul 2012

Market Analyst

• Attrition model helped the bank decrease monthly attrition rate by offering individual pricing for customers at risk. • Customer lifetime value model enabled the bank to allocate revenue, cost, and risk on client level in order to apply the most appropriate customer care. • Comprehensive portfolio analysis. • Impact studies: how individual pricing affects retention effort and profitability.

Pannon GSM | Jan 2006 - Oct 2009

Market Analyst

• Coordinated churn model design to reduce churn rate and define cost effective value of offer for campaign management using Teradata Warehouse Miner • Lead analyst role in a project that aimed to pinpoint influential customers by mapping out the social network of the customers using (Eigenvector) Centrality scores • Developed a product affinity model for campaign targeting to encourage MMS usage and adoption of MMS enabled handsets • Weekly Competitor Sales Estimation: time-series estimation of unpublished weekly competitor sales based on subscribers’ on-net and off-net call behavior to track the impact of media campaigns, price changes and new product and service introductions.

Sanoma Budapest | Jan 2002 - Nov 2003

Marketing Analyst

- implemented new methods/metrics to measure business performance of magazines; - provision of internet based customer research; - identified potential opportunities within the magazine portfolio based on creative analysis techniques; - took ownership of reporting developments in media in Hungary and EU.

Element | Apr 2001 - Dec 2001

Statistical Analyst

N/A

My Education

Take a look at my formal education

MA, Master of Marketing AnalysisUniversiteit Gent | 2005

Master of Arts (MA), EconomicsOhio University | 2000

ELTE | 1997

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