What makes Almost Every Anomaly Detection An Interesting Problem?

It is very common for any financial institute to deal with fraudsters. These encounters are in so many different levels such as internet, card services, phone calls and everywhere that fraudsters could claim to be the actual account holders. Although banks (and many other institutes) fight this matter, sometimes having too many false positives forces them to pay the [...]

Stock Market & Sentimental Analysis – NLP

In a recent project, I used Python to work with historical stock data. I implemented momentum-trading strategies and tested if they have the potential to be profitable. Let me go over the idea as a big picture. I'll continue in another page with more details and examples:   I created two portfolios utilizing smart beta methodology and optimization, and evaluate [...]

Kaggle Puzzle Time: Home Credit Default Risk

Project Description There was an interesting data analytic competition and I thought to give it a try. This is on Kaggle with the more detail description. Many people struggle to get loans due to insufficient or non- existent credit histories. And, unfortunately, this population is often taken advantage of by untrustworthy lenders. Home Credit strives to broaden financial inclusion for [...]