Summary
Overview
Work History
Education
Skills
Websites
Languages
Timeline
Generic

GIUSEPPE VACCARO

Barcelona

Summary

Data science and analytics professional, driven by a fascination with how tech, big data, and machine learning can be used to creatively solve business and societal problems.

Overview

15
15
years of professional experience

Work History

Data Scientist / Analytics Lead

Gartner
01.2022 - Current
  • Within the data science team my current role is a hybrid between a product manager and data science individual contributor. Along with being hands for the full end-to-end implementation and deployment of advanced analytics solutions and data products, I am also in charge of promoting the adoption of a data driven culture throughout the company
  • Along with the Product Monetization division, I have led the ideation, implementation, and product management of several machine learning solutions aimed at improving and modernizing the online marketplace monetization strategy and core engine / algorithm (second price auction model). The most successful product has been an automated bidding solution for the marketplace clients, which so far has led to a 5% uplift in revenue ($6 million per year).
  • Along with the Marketing Science division, I worked on the ideation and deployment of data science models aimed at optimizing the $ margins arising from performance marketing channels which together account for an average of $10 million volumes spent per month. The positive impact of the activity so far has been $5 million per year.
  • Responsible for leading the implementation of several advanced algorithms for customer personalization strategies, from the ideation to the set up of the A/B test and production. The activity allowed the company to increase user acquisition and traffic by 20%+.
  • Along with the Marketing Lifecycle team, I was responsible for the end-to-end implementation of a customer lifetime value (CLV) model which is currently used as a core tool to direct and manage marketing acquisition and retention strategies.
  • Proposed, got buy-in, and built a scalable model pipeline to forecast clicks and traffic projections for the core marketplaces bidding platform, which allowed the company to improve the accuracy of forecasts by 20% and reduce client’s dropout rate by 10%
  • Responsible for recruiting other juniors and managing other junior members in the team.

Senior Data Analyst

Gartner
09.2020 - 12.2021
  • Promoted to Senior just a few months after joining the company
  • Provided data driven insights and recommendations on business topics such as customer segmentation, optimal allocation of budget for online marketing strategies
  • Ideated and implemented a machine learning model to predict client’s churn rate, which is currently used by the global business development team to optimize their monthly sales strategies
  • Responsible for setting up A/B test for several product development projects
  • Ideated and led the implemented complex models to identify opportunities for improving revenue per clicks
  • Ideated and implemented a predictive analytics model aimed at identifying cross- selling opportunities for the vendors that bid on the main Gartner marketplaces (Gartner Digital Markets)
  • Developed complex dashboards in Power BI to provide insights to several stakeholders across the organization.

Data Science Consultant - freelancer

Geoanalytics Center
03.2020 - 02.2021
  • Led analytics and data science projects mainly with African governments and development organizations (World Food Program - WFP, and WB)
  • One of the main projects, founded and supported by the World Bank, involved the implementation of a complex machine learning solution (Convolutional Neural Network) that had the goal of scanning more than one million satellite images covering several geographic areas in Niger to identify geographic sites with likely illegal mining activities.

Data Science Consultant - freelancer

Must tech & Travel March 2020
03.2020 - 08.2020
  • Implemented an analytics structure aimed at providing marketing analytics and insights for growth strategies using various tools (Python, SQL, Google Analytics), and a content-based recommender system (their first Machine Learning model) aimed at improving the user experience and traffic.

Corporate Financing and Planning Manager

HMSHost (Avolta Group)
01.2015 - 03.2019
  • Led a team of four to manage airport retail investment appraisal and control, ensuring financial and strategic alignment. Monitored EMEA and APAC subsidiary performance, utilizing statistical models to develop detailed forecasts and identify key market trends. Delivered data-driven insights and financial performance reports to the leadership team, directly informing business strategy
  • Lead the implementation and delivery of the periodic and yearly Group financial strategic budget plan, while supervising and guiding finance managers in 20 subsidiaries worldwide (for a total of EUR 600m revenue).
  • Responsible for the group assets and liabilities risk management, debt exposure management, and for structuring of debt facilities with major international banks (for up to EUR 500m).
  • Group project manager during the implementation of a financial reporting and CRM software.

Financial planning Analyst

Telefonica
05.2013 - 06.2014
  • Built financial forecasting models and provided recommendations on short term liquidity investments (cash volumes averaging of EUR 1.5bn).

Financial Analyst

Enel Green Power
04.2012 - 04.2013
  • Provided insights and recommendations on strategies for financial risk reduction (underlying debts exposure for a total of EUR 15bn).

Associate Consultant

Zanders
10.2010 - 03.2012
  • Developed advanced project management, client facing, and analytics skills by advising big multinationals on financial risk management.

Education

Master in Data Science and AI -

Universitat de Barcelona
Barcelona, ES
07.2020

Msc (Master of Science) - International Finance

University of the West of England
Bristol, UK
04.2010

Msc (Master of Science) - International Business

Business Universiteit van Amsterdam
Amsterdam, NL
07.2008

BS (Bachelor of Science) - Economics

University of Bologna
Bologna, IT
03.2007

Skills

  • ETL / Prefect / Analytics and ML Engineering
  • Machine Learning and AI
  • Python and Spark
  • Snowflake
  • Marketing Analytics
  • Project Management
  • Product Management
  • Statistical Modelling
  • Data Engineering
  • Tableau
  • Power BI
  • SQL

Languages

English
Bilingual or Proficient (C2)
Italian
Bilingual or Proficient (C2)
Spanish
Advanced (C1)

Timeline

Data Scientist / Analytics Lead

Gartner
01.2022 - Current

Senior Data Analyst

Gartner
09.2020 - 12.2021

Data Science Consultant - freelancer

Geoanalytics Center
03.2020 - 02.2021

Data Science Consultant - freelancer

Must tech & Travel March 2020
03.2020 - 08.2020

Corporate Financing and Planning Manager

HMSHost (Avolta Group)
01.2015 - 03.2019

Financial planning Analyst

Telefonica
05.2013 - 06.2014

Financial Analyst

Enel Green Power
04.2012 - 04.2013

Associate Consultant

Zanders
10.2010 - 03.2012

Msc (Master of Science) - International Finance

University of the West of England

Msc (Master of Science) - International Business

Business Universiteit van Amsterdam

BS (Bachelor of Science) - Economics

University of Bologna

Master in Data Science and AI -

Universitat de Barcelona
GIUSEPPE VACCARO