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Clustering with non numeric data

Started this discussion. Last reply by Kunal Dash May 24, 2018. 33 Replies



Profile Information

Short Bio:
9 & 1/2 yrs analytics professional with experience in SAS, Predictive modeling, Developing Classifiers, Analytics Insights.

I began with GE Money working as a risk analyst for credit cards. In this position I built several predictive models making good use out of the logistic regression technique. I also built many segmentation models using CHAID and CART for risk management strategies. I moved out of GE Money after 6 years as a Business Manager in the portfolio risk team. My primary tool was SAS.

I joined a very well renowned retailer in their Analytics team. Here I am a Business Manager leading analytics team for stores, merchandising, finance etc. I have gained more experience in segmentation and modeling techniques for different aspects of retail. I am currently trying to work on some forecasting methods viz. ARIMA. Here too my primary tool is SAS.

My favorite area is classical regression methods. Although there are not many areas where this cannot be used, there are several developments in this field which I try to explore. I am in the process of gaining expertise in forecasting systems.
Field of Expertise:
Business Analytics, Predictive Modeling, Data Mining, Econometrics, Statistical Programming, Statistical Consulting, Finance
Years of Experience in Analytical Role:
Professional Status:
Finding a New Position, Networking, Recruiting
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At 3:02pm on June 28, 2009, Bruno M said…
Hi Anindo, I wonder how this project is going? I am relatively new to all of this, and the discussions on this site have been invaluable. I wonder if the tools I suggested (I linked to a list of open source data mining tools, KNIME, Orange (AI Labs), Weka, RapidMinder) have been helpful at all, or whether maybe I was way off on recommending them in the first place (if so i apologize!). Best Regards, Bruno

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