Alessandro Mozzato - Freelance Machine Learning Consultant in North Holland, Netherlands

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Hire Dr. Alessandro M.

Netherlands

USD 150 /hr

Profile Summary

I am a data scientist with strong mathematical background and a PhD in climate sciences, currently at Booking.com. I have experience analysing petabyte scale dataset and delivering key results to business stakeholder as well as prototyping and productionizing machine learning solutions at large scale.

I have experience analysing large dataset using big data tools such as Hive, Spark and Oozie as well as delivering key results and insights to drive business decisions. I have experience delivering data visualizations and dashboards using Matplotlib, Bokeh, d3.js, Grafana and Tableau.

I developed and deployed machine learning algorithms for anomaly detection as well as an application for text analysis on a large corpus of documents. I also worked on recent deep learning topics such as word embeddings, Word2Vec and Generative Adversarial Networks.

I am familiar with web development concepts covering back-end in python using Flask and standard front end with HTML/CSS and javascript from my work at booking.com and personal projects.

Subject Matter Expertise

Services

Consulting
Data & AI
Product Development

Work Experience

Data Scientist

Booking.com

July 2017 - Present

PhD Candidate

National Oceanography Center

September 2013 - November 2017

Enel

Data Scientist

September 2016 - June 2017

Intern

INRIA Centre de recherche Lille - Nord Europe

March 2013 - June 2013

Education

M2 Applied Mathematics (Mathematics)

Université de Lille I

September 2012 - July 2013

BA Mathematics (Mathematics)

Universita degli Studi di Padova

2008 - 2011

Certifications

Certification details not provided.

Publications

JOURNAL ARTICLE

(2015). Key Future Directions For Research On Turbidity Currents and Their Deposits . Journal of Sedimentary Research.

CONFERENCE ABSTRACT

(2015). Insights from new high-resolution data from the Traenadjupet Slide on the Norwegian margin . EGU 2015.

(2015). New insights into the timing, triggers and emplacement processes of prodigious submarine landslides in the Nordic Seas . EGU 2015.