Andrea Dal Pozzolo
12 SlideShares 28 Followers 18 Followings
Personal Information
Organization / Workplace
Zürich Area, Switzerland Switzerland
Occupation
Quant & Data Scientist
Industry
Finance / Banking / Insurance
Website
dalpozz.github.io
About
I'm passionate about data and I define myself a Data Scientist: I'm an expert in Machine Learning, Data Mining and statistical techniques. I'm also interested in Actuarial Science and the application of statistical models in finance and business to extract knowledge from data.
Contact Details
Tags
machine learning fraud detection unbalanced classification credit card undersampling data science data mining statistics analytics concept drift innoviris doctiris
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Presentations

(11)
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Racing for unbalanced methods selection

9 years ago • 3177 Views

Using HDDT to avoid instances propagation in unbalanced and evolving data streams

9 years ago • 872 Views

Doctiris project - Innoviris, Brussels

9 years ago • 295 Views

Data Innovation Summit - Made in Belgium 2015

8 years ago • 418 Views

Credit card fraud detection and concept drift adaptation with delayed supervised information

8 years ago • 1105 Views

Is Machine learning useful for Fraud Prevention?

8 years ago • 7526 Views

Andrea Dal Pozzolo - Data Scientist

8 years ago • 827 Views

When is undersampling effective in unbalanced classification tasks?

8 years ago • 925 Views

Calibrating Probability with Undersampling for Unbalanced Classification

8 years ago • 22188 Views

Presentation of the unbalanced R package

8 years ago • 2193 Views

Adaptive Machine Learning for Credit Card Fraud Detection

7 years ago • 12158 Views

Documents

(1)

Andrea Dal Pozzolo's CV

7 years ago • 438 Views

Likes

(6)
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A Primer on Entity Resolution

Benjamin Bengfort • 8 years ago

September 2015 vasco investor presention final

rodrida1 • 8 years ago

Is Machine learning useful for Fraud Prevention?

Andrea Dal Pozzolo • 8 years ago

R at Microsoft

Revolution Analytics • 8 years ago

Sparkling Water Meetup 4.15.15

Sri Ambati • 9 years ago

How to win data science competitions with Deep Learning

Sri Ambati • 9 years ago
Personal Information
Organization / Workplace
Zürich Area, Switzerland Switzerland
Occupation
Quant & Data Scientist
Industry
Finance / Banking / Insurance
Website
dalpozz.github.io
About
I'm passionate about data and I define myself a Data Scientist: I'm an expert in Machine Learning, Data Mining and statistical techniques. I'm also interested in Actuarial Science and the application of statistical models in finance and business to extract knowledge from data.
Tags
machine learning fraud detection unbalanced classification credit card undersampling data science data mining statistics analytics concept drift innoviris doctiris
See more