Xavier Gamito
About Xavier Gamito
Xavier Gamito is a Senior Data Scientist with extensive experience in data analysis and pricing strategies, currently working at Xcelirate in Barcelona. He has held various roles in data science and analytics across multiple companies, specializing in fraud detection, causal inference, and advanced forecasting techniques.
Work at Xcelirate
Xavier Gamito currently holds the position of Senior Data Scientist at Xcelirate, where he has been employed since 2023. His role involves leveraging data science techniques to drive insights and optimize business strategies. The work environment is hybrid, allowing for flexibility in his work arrangements while based in Barcelona, Cataluña, España.
Education and Expertise
Xavier Gamito has a robust educational background in data science and mathematics. He completed a Bachelor's degree in Mathematics at Universitat de Barcelona from 2011 to 2016. He further pursued a Bachelor's degree in Economics at the same institution. In 2017, he obtained a Postgraduate degree in Data Science & Big Data, also from Universitat de Barcelona. He participated in the IMPACT Program at EADA Business School in 2021, focusing on advanced data science methodologies. In 2024, he completed Professional Education in Statistical Learning for Large Dimension Unstructured Data at the Barcelona School of Economics.
Professional Experience
Xavier has extensive experience in data science and analytics across various organizations. He worked at Adevinta Spain as a Senior Product Data Scientist from 2019 to 2022. Prior to that, he served as a Junior Data Analyst/Data Scientist Marketing at Privalia from 2016 to 2018 and as a SQL Consultant at Bismart in 2015. His earlier roles include working as a Data Developer at Grupo Zeta and as a Lead Data Scientist at AILY LABS in 2023. He also held the position of Lead Data Scientist at Outfund from 2021 to 2023.
Technical Skills and Specializations
Xavier Gamito specializes in various advanced data science techniques. His expertise includes fraud detection, causal inference for marketing effect attribution, and pricing strategies. He employs Double Machine Learning techniques to analyze price elasticity and utilizes synthetic control methods for pricing analysis. His skill set also encompasses advanced time series forecasting techniques, including Prophet, VAR, ARIMA, and GARCH. Additionally, he conducts A/B testing to optimize product performance.
Focus Areas in Data Science
Xavier focuses on critical areas within data science, including purchase probability and churn analysis. His work aims to enhance understanding of consumer behavior and improve marketing strategies. By applying advanced analytical methods, he contributes to informed decision-making processes that drive business growth.