Marcin Nadolny

Current

Manager at PricewaterhouseCoopers

Past

Data Mining Manager at Toyota Bank Polska
Senior Business Consultant at SAS Institute
Paid Internship at DaimlerChrysler AG, Research & Technology

Student assistant at Albert-Ludwigs-University of Freiburg (Germany)

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Education

Albert-Ludwigs-Universität Freiburg im Breisgau
Uniwersytet Warszawski

Recommended

2 people have recommended Marcin

Connections

189 connections

Industry

Information Technology and Services

Marcin Nadolny’s Summary

Summary profile:
- expert in a-CRM, credit scoring, fraud detection, business intelligence
- high-level statistic & data mining knowledge,
- banking and database systems knowledge.

Marcin Nadolny’s Experience

Manager

PricewaterhouseCoopers

(Partnership; Accounting industry)

November 2008 — Present (9 months)

Financial Services Advisory

Main working areas:
- Scoring & rating systems
- Basel II issues
- Analytical CRM
Data Mining Manager

Toyota Bank Polska

(Banking industry)

April 2007 — November 2008 (1 year 8 months)

• Responsible for organizing a knowledge-based banking environment.
• Managing data mining business within following areas:
- Analytical CRM (acquisition, cross-/up-sell, retention, segmentation, customer behaviour analysis etc.)
- Campaign Management,
- Credit Scoring & Credit Risk Management / Basel II compliance issues,
- Fraud Detection,
- Business Intelligence.
• Reporting directly to the CEO of Toyota Bank
Senior Business Consultant

SAS Institute

(Privately Held; 10,001 or more employees; Information Technology and Services industry)

April 2004 — March 2007 (3 years)

Previous positions: Consultant, Business Consultant
• Managing Analytical Solutions Team at the Strategy and Development Department of SAS Poland
• Creating business solutions in the domains of analytical CRM (including churn prediction, segmentation, cross- and up-sell), credit scoring, fraud detection and forecasting , as well as creation of new ideas for appliance of SAS analytical solutions
• Constructing analytical models as basis for business solutions (data analysis with usage of statistics and data mining techniques)
• Participating as leading or supporting analyst in banking (Bank BPH, ING Bank Śląski), insurance, telecommunication, energy retail projects, including the following topics: debit card activation, credit scoring (PD, LGD, EAD modelling), energy retail customer segmentation, fraud detection in energy retail sector, insurance forecasting
• Presentations and workshops on SAS analytical solutions
• Pre-sales support
Paid Internship

DaimlerChrysler AG, Research & Technology

(Public Company; 10,001 or more employees; Information Technology and Services industry)

March 2003 — June 2003 (4 months)

Internship at the Department for Information Mining
Student assistant

Albert-Ludwigs-University of Freiburg (Germany)

(Educational Institution; 501-1000 employees; Information Technology and Services industry)

February 2001 — September 2001 (8 months)

Student assistant at the Databases and Information Systems Group, Institute of Computer Science

Marcin Nadolny’s Education

Albert-Ludwigs-Universität Freiburg im Breisgau

Master of Science , Applied Computer Science , 2000 — 2004

Scholarship holder of the German Academic Exchange Service DAAD and
the German foundation KAAD

Activities and Societies:

• Postgraduate studies within the programme Master of Science in Applied Computer Science
• Master of Science in Applied Computer Science (March 2004)
Thesis: „Mining approximate foreign key dependencies in large relational databases”
• Research work in the domain: Data mining and knowledge discovery
in databases
Uniwersytet Warszawski

Master of Science , Mathematics , 1996 — 2002

Specialization: mathematics in computer science

Activities and Societies:

• Master of Science in Mathematics (March 2002)
Thesis: „Boolean reasoning methods in Association Rules Discovery in large databases and its applications”
• Bachelor of Science in Mathematics (July 1999)
Thesis: „Data Mining and Knowledge Discovery in Databases: Discovery
of association rules in databases“