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Oleg Danilchenko
  • Male
  • Moscow
  • Russian Federation
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Oleg Danilchenko's Discussions


Oleg Danilchenko's Page

Latest Activity

Vladimir Rastunkov replied to Oleg Danilchenko's discussion Data mining technologies in Oil & Gas industry !
"I can provide you with the following example: In the oil/gas extraction industry an optimization of the reliability of the equipment plays the crucial role. Let us assume that the system “Well - Electrical Submersible Centrifugal Pump…"
Mar 12, 2010
Oleg Danilchenko replied to Urko's discussion K-means, SOM, k-nn or classical clustering methods? in the group Data Mining
"The best-known optimization clustering algorithm is k-means clustering. Unlike hierarchical clustering methods that require processing time proportional to the square or cube of the number of observations, the time required by the k-means algorithm…"
Mar 10, 2010
Oleg Danilchenko posted discussions
Jan 26, 2010
Oleg Danilchenko replied to Archana Mangtani's discussion Is E -Miner better than Base SAS?
"Comparison between SAS Enterprise Miner and SAS/STAT The first major difference between EM and STAT is that EM is GUI, and does not need programming effort. This represents enhanced productivity due to time savings associated with writing and…"
Jan 26, 2010
Oleg Danilchenko commented on Archana Mangtani's blog post Is E Miner better than Base SAS?
"There are many definitions of data mining: the discovery of spurious relationships in the data; automated data analysis; examination of large data sets; exploratory data analysis. Early methods of data mining included stepwise regression, cluster…"
Jan 26, 2010

Profile Information

Short Bio:
• Financial Risk Intelligence and Customer Intelligence areas.
• Customers Intelligence (Customer Segmentation, Profiling, Campaign management, Churn. etc).

Pre-sale and consulting in data mining area.
Take part in banking, telco, energy, retail projects.

Have experience in education practice of data mining techniques.

• Credit Risk Intelligence (Credit Scoring (PD, LGD etc)).
• Data Warehousing.
• Advanced Analytics and Data Mining
• OLAP and Tactical Analysis
• Enterprise BI Solutions
• Data Integration Solutions (SAS DI Studio).

Statistics, Data Mining, Forecasting, Optimization, Business Intelligence, Risk Management, Credit Scoring Predictive Modeling Survival Analysis, particularly business applications Churn and Retention Modeling Customer-Level Forecasting Customer Segmentation * Customer Response * Retention / Attrition * Cross Sell * Profitability/Lifetime Value * Transaction Analysis * Survey and Email Analysis * Competetive Intelligencet
My Website or LinkedIn Profile (URL):
Field of Expertise:
Business Analytics, Predictive Modeling, Data Mining, Marketing Databases, Operations Research, Econometrics, Statistical Consulting, Finance, SAS
Years of Experience in Analytical Role:
Professional Status:
Technical, Manager, Consultant
What is your Favorite Data Mining or Analytical Website?
What Other Analytical Website do you Recommend?
Your Company:
SAS Institute

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