As a person, I have a very curious nature, and I love intellectually stimulating challenges. I do think that learning and self-development should never stop, and such passion, combined with my skills, enabled me to always reach top academic and professional results, among which I would like to mention my merit scholarship for my Master at Bocconi University, my traineeship at the European Central Bank, my participation to and victory at the 2023’s edition of Bending Spoons First Ascent, and finally my current job as a Data Scientist at Rewire. Being a consulting company in AI, during my work at Rewire I had the possibility of honing my skills in the full development cycle of an AI product, from the identification of the most impactful use cases and the consequent research on the possible solutions, to the analysis of data and the end-to-end implementation of the final product. In addition, as many profiles in the company are from MBBs like McKinsey and BCG, the environment is fast paced and stimulating, allowing me to learn a lot by sharing my findings and iterating over them with my colleagues, and to challenge myself in fields outside of my comfort zone, like the backend and frontend development of an application. Finally, I significantly grew in terms of project management, by learning both to identify the current priorities and to define the following steps of the solution I am working on. As a proof of my relentless desire to learn and to challenge myself, since the beginning of my traineeship at the ECB I have been working in parallel as a Data Scientist in four different projects at Bocconi University and its partners, during which I had the chance to independently both design and implement AI solutions for a wide variety of purposes, from traditional ML algorithms to the adoption of NLP techniques and LLMs for the classification and topic modelling of texts of various nature. During such projects I was the owner of the complete solution, from retrieving the data through web scraping to the reporting and presentation of the results. Finally, in my free time, I have also developed an application to monitor my financial investments and identify promising opportunities. Overall, I believe to be an excellent fit for this role, given my strong background and extensive experience in ML and data analysis (I am also comfortable with AWS); furthermore, I have been working on multiple projects from remote, therefore I am used to working on multiple tasks at the same time and still manage my priorities accordingly without compromising the quality of my work. Thank you for considering my profile, Kind regards, Alex Lucchini

Alex

As a person, I have a very curious nature, and I love intellectually stimulating challenges. I do think that learning and self-development should never stop, and such passion, combined with my skills, enabled me to always reach top academic and professional results, among which I would like to mention my merit scholarship for my Master at Bocconi University, my traineeship at the European Central Bank, my participation to and victory at the 2023’s edition of Bending Spoons First Ascent, and finally my current job as a Data Scientist at Rewire. Being a consulting company in AI, during my work at Rewire I had the possibility of honing my skills in the full development cycle of an AI product, from the identification of the most impactful use cases and the consequent research on the possible solutions, to the analysis of data and the end-to-end implementation of the final product. In addition, as many profiles in the company are from MBBs like McKinsey and BCG, the environment is fast paced and stimulating, allowing me to learn a lot by sharing my findings and iterating over them with my colleagues, and to challenge myself in fields outside of my comfort zone, like the backend and frontend development of an application. Finally, I significantly grew in terms of project management, by learning both to identify the current priorities and to define the following steps of the solution I am working on. As a proof of my relentless desire to learn and to challenge myself, since the beginning of my traineeship at the ECB I have been working in parallel as a Data Scientist in four different projects at Bocconi University and its partners, during which I had the chance to independently both design and implement AI solutions for a wide variety of purposes, from traditional ML algorithms to the adoption of NLP techniques and LLMs for the classification and topic modelling of texts of various nature. During such projects I was the owner of the complete solution, from retrieving the data through web scraping to the reporting and presentation of the results. Finally, in my free time, I have also developed an application to monitor my financial investments and identify promising opportunities. Overall, I believe to be an excellent fit for this role, given my strong background and extensive experience in ML and data analysis (I am also comfortable with AWS); furthermore, I have been working on multiple projects from remote, therefore I am used to working on multiple tasks at the same time and still manage my priorities accordingly without compromising the quality of my work. Thank you for considering my profile, Kind regards, Alex Lucchini

Available to hire

As a person, I have a very curious nature, and I love intellectually stimulating challenges. I do think that learning and
self-development should never stop, and such passion, combined with my skills, enabled me to always reach top
academic and professional results, among which I would like to mention my merit scholarship for my Master at
Bocconi University, my traineeship at the European Central Bank, my participation to and victory at the 2023’s edition
of Bending Spoons First Ascent, and finally my current job as a Data Scientist at Rewire.

Being a consulting company in AI, during my work at Rewire I had the possibility of honing my skills in the full
development cycle of an AI product, from the identification of the most impactful use cases and the consequent
research on the possible solutions, to the analysis of data and the end-to-end implementation of the final product. In
addition, as many profiles in the company are from MBBs like McKinsey and BCG, the environment is fast paced and
stimulating, allowing me to learn a lot by sharing my findings and iterating over them with my colleagues, and to
challenge myself in fields outside of my comfort zone, like the backend and frontend development of an application.
Finally, I significantly grew in terms of project management, by learning both to identify the current priorities and to
define the following steps of the solution I am working on.

As a proof of my relentless desire to learn and to challenge myself, since the beginning of my traineeship at the ECB I
have been working in parallel as a Data Scientist in four different projects at Bocconi University and its partners, during
which I had the chance to independently both design and implement AI solutions for a wide variety of purposes, from
traditional ML algorithms to the adoption of NLP techniques and LLMs for the classification and topic modelling of
texts of various nature. During such projects I was the owner of the complete solution, from retrieving the data through
web scraping to the reporting and presentation of the results. Finally, in my free time, I have also developed an application to monitor my financial investments and identify promising opportunities.

Overall, I believe to be an excellent fit for this role, given my strong background and extensive experience in ML and data analysis (I am also comfortable with AWS); furthermore, I have been working on multiple projects from remote, therefore I am used to working on multiple tasks at the same time and still manage my priorities accordingly without compromising the quality of my work.

Thank you for considering my profile,
Kind regards,
Alex Lucchini

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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Language

Italian
Fluent
English
Fluent
Spanish; Castilian
Intermediate
German
Intermediate

Work Experience

Trainee in Data Science at European Central Bank
March 1, 2023 - February 1, 2024
Trainee in Data Science at the ECB, contributing to ML model development, data extraction via queries in Impala and Hive, and time-series forecasting. Participated in anomaly detection on financial time-series data, unit testing of code, and presenting results to central banks.
Data Scientist at Bocconi University
August 1, 2023 - November 1, 2023
Data science projects across Bocconi, developing predictive models, performing data analysis, and creating visualizations and reports.
Data Scientist at Bocconi University and Sciences Po
August 1, 2023 - November 1, 2023
Collaborative data science work across Bocconi and Sciences Po, building ML pipelines and dashboards for research and teaching initiatives.
Data Scientist at Bocconi University and Cornell University
March 1, 2023 - August 31, 2023
Joint research data science activities between Bocconi and Cornell University, including modeling and cross-institution data analyses.
Data Scientist at Rewire
September 1, 2024 - Present
Data science role focusing on data manipulation and feature engineering for large datasets; building ML models; data extraction and preprocessing for MOIS and emissions analysis.
Data Scientist at Bocconi University
April 1, 2025 - Present
Continued data science work at Bocconi University, engaging in research collaborations and advanced analytics.

Education

Master of Science (MSc) in Data Science and Business Analytics at Bocconi University
September 1, 2021 - December 1, 2023
Visiting Student at Bocconi Institute for Data Science and Analytics
March 1, 2022 - November 1, 2022
Scientific High School Diploma at Antonio Banfi Scientific High School
January 1, 2013 - January 1, 2018

Qualifications

Merit Award: full scholarship assigned to students with the best academic profile. Final grade: 110 cum laude
January 11, 2030 - December 19, 2025

Industry Experience

Software & Internet, Financial Services, Education, Media & Entertainment, Professional Services