"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…"
"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
"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…"
"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
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