I lead a small team of data scientists. I act as technical focal point. I'm an hands on person (i deliver projects)

Head of Data Science, Principal Data Scientist

I've been the technical focal point for a 20 people data science team. 
Acting mainly as technical problem solver and customer focal point. 

Principal Data Scientist

I've been supporting the italian startup of the KXEN software distribution. Now KXEN has been acquired by SAP. 
Main activities: 
- selling projects to customers with the KXEN technology
- delivering projects. 


Kxen Presales Data Scientist

Before and after my PhD I've been working as a contract researcher. 
This adds up to almost  10 years of academical experience in which i have been teaching to thousands of students and mentored dozens of degree thesis and some PhD students. 
Main research topics: 
- Machine Learning 
- Focus on Decision Trees
- Advanced stochastic Optimization Algorithms (genetic algorithms, Ant Colony Optimization). 
- Interval Data
- Social Network Anlaysis 
- High performance computing
- Robust statistics

PhD Academic researcher (contract based)

Lots of delivered projects. Some examples: 
- Cyber security
- Fraud Detection 
- Marketing Intelligence  (predictive models for churn, cross-sell, ecc.)
- Investigation (ex. Anti Money Laundering). 
- many more

Many delivered projects: 
- Building predictive models
- Building anomaly detection models
- Building segmentation models
- Building Natural Language Processing solutions
- Decision Trees (all, from CART to Random Forests)
- Neural Networks
- Linear Regression 
- Logistic Regression 
- Survival Analysis 
- Social Network Analysis
- Genetic Algorithms
- Many more

Delivered many projects: 
- Time series prediction. 
- Natural Language Processing. 
- Marketing models. 
Skills: 
- Data Wrangling (pandas)
- Modeling (scikit-leanr)
- Statistics and plotting (matplotlib, scipy, etc.)

In oder to start a Machine Learning project I've almost always been fetching data from datawarehouse tables. 
I am pretty confident with:
- writing queries (selecting, counting, etc.)
- aggregating data
- joining tables (partial outer join, antijoin, etc.)


I can provide reduced rate for people affected by covid-19. 

Senior Data Scientist with 10+ years of experience

Raffaele Miele, PhD

For a Huge Bank i designed, built and co-deployed a set of Machine Learning models to detect frauds on electronic payments. 


Fraud Detection

I have a wide experience on building predictive models for: 
- anticipating customer churn
- detecting customer propensity to buy
- estimating customer ptoential
- Estimating Customer Lifetime Value
- Performing Behavioural customer segmentation with k-means algorithm
- enriching models with network analysis 

Marketing Intelligence

Enriching predictive models with textual data
Computing distance between texts. 
Detection of events of interest by analyzing news text. 


Natural Language Processing

Analyzing transactional data in order to compute, for each customer: 
- the list of the products the customer is more willing to buy 
- related probabilities. 


Next Best Product (alias product recommendation)

Building Machine Learning algorithms that compute:
- anomaly scores for single sessions
- anomaly score about the whole network behaviour
- Autonomous Root Cause Analysis


Personal details

Raffaele P.

Summary

Technical skills

Work Experience

Personal Projects