level-one heading

プロフィール詳細

プロジェクトを作成

★★★★★

☆☆☆☆☆

★★★★★

☆☆☆☆☆

Dr. Alessandro M.に依頼

Netherlands

プロフィール概要

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.

専門分野

• ★ Data Analysis
• ★ Machine Learning
• ★ Mathematical Models
• ☆ Data Science
• ☆ Data Processing
• ☆ Data Visualization
• ☆ Big Data Analytics
• ☆ Deep Learning
• ☆ Data Security
• ☆ Tableau

サービス

• Consulting
• Data & AI
• Product Development

職務経験

Data Scientist

Booking.com

7月 2017 - 現在

PhD Candidate

National Oceanography Center

9月 2013 - 11月 2017

Enel

Data Scientist

9月 2016 - 6月 2017

Intern

INRIA Centre de recherche Lille - Nord Europe

3月 2013 - 6月 2013

学歴

M2 Applied Mathematics (Mathematics)

Université de Lille I

9月 2012 - 7月 2013

BA Mathematics (Mathematics)

Universita degli Studi di Padova

2008 - 2011

認定資格

• 認定資格の詳細は未入力です。

出版物

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.