Social Network For Analytic Professionals

Sandro Saitta - November 2008

Sandro Saitta has been selected as our Member of the Month for November 2008. Sandro is one of our faithfull members. He recruited many great new members over the last few months. Sandro is a computer science Ph.D. student at the prestigious EPFL (Lausanne, Switzerland). He designed a data mining search engine, based on 800 links provided by AnalyticBridge members.

To be eligible for the Member of the Month award, a candidate must have a profile with a picture (it can be a company logo), short bio or interesting relevant links and be active on AnalyticBridge. If you would like to be considered for the award, please join the Member of the Month group on AnalyticBridge.

A $250 prize is offered each month to our Member of the Month.

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Permalink Reply by Sandro Saitta on December 3, 2008 at 7:15am: Thanks Vincent!

Just a note: I'm no more a Ph.D. student now. I'm working in a financial company where I apply data mining techniques in the US stocks market.; ▶ Reply to This

Permalink Reply by AJAY OHRI on December 3, 2008 at 10:11am: Congrats Dr Sandro....:)

The US stock market does need more analysis for sure

All the best

Ajay; ▶ Reply to This

Permalink Reply by Sandro Saitta on December 4, 2008 at 3:30am: Thanks Ajay! Finance is a huge field with several exciting applications for data mining...; ▶ Reply to This

Permalink Reply by Tejamoy Ghosh on December 26, 2008 at 3:24am: Congratulations Dr. Sandro!
Could you please elaborate a bit (to the extent permissible by professional secrecy requiremets) on what kind of data mining you usually do on stock market. I couldn't agree more with the statement that "Finance is a huge field with several exciting applications for data mining" - I personally have a strong interest in that.; ▶ Reply to This

Permalink Reply by Sandro Saitta on January 6, 2009 at 12:01pm: Thanks!

I currently use decision tree on individual stocks to predict their future (e.g. 5 days) behavior (i.e. increase/decrease). I give more details on my blog: http://dataminingresearch.blogspot.com/2008/09/stock-prediction-usi...

Feel free to ask if you have more questions.; ▶ Reply to This