Enrico Barchiesi
DATA SCIENCE
BUSINESS ANALYTICS
Hello
Here's who I am & what I do
I'm a Data Sciences and Business Analytics graduate at ESSEC & CentraleSupélec in Paris.
I have both a business and an engineering background, and my technical skills are in the fields of Data Science and Business Analytics.
I am also the CEO and Co-Founder of Meravit, and we provide tailor-made Data Science and IT solutions to serve specific needs.
​
Projects
Below are some of the projects I have worked on over the past years. I have used classical machine learning methods as well as deep learning algorithms, especially related to computer vision.
AI Demand Forecasting - Cérélia
Since September 2024, I’ve been a Data Science consultant at Cérélia, where I was asked to “prove the potential of AI.” I created Margherita, an AI Demand Forecasting system that process 815+ SKUs across 14 countries, forecasting over 215 000 tons of products with an 9-point accuracy gain (73% → 82%) for a 6-month horizon. Built from scratch and running weekly in production, it includes Power BI dashboards and connects Sales and Operations through shared, data-driven insights.
Data Science Internship at WEO
While taking a summer internship at WEO, I created and trained a deep learning U-Net model. I used it to carry out a semantic segmentation of the Land Cover of Luxembourg. Overall, my model's average F1 score was 80.3%, representing a significant improvement over the previous model's average F1 score of 72%.
Eleven Strategy - DSBA Hackathon
My team and I won the hackathon organised by eleven-strategy and the DSBA cohort. We competed with other 10 teams, and our objective was crafting the most convincing data-driven consulting proposal for a luxury brand. We had to increase revenues by improving the selection of guests invited to luxury product events.
MSc Data Sciences & Business Analytics
In this project my group and I have worked on making deep learning model for image classification more interpretable. We have used two main approaches, CAM and Grad-CAM, which is a more advanced version of the former. The results show which parts of an input image are crucial for the CNN's prediction of a particular class.
Resume
Below is my resume. My background is in both business and engineering, with professional and academic experience in more than four countries in Europe and the US. I have also launched two startups and worked as a Data Scientists in different domains.
EXPERIENCE
Nov 2023 - Present
Paris
MERAVIT S.RL.
Co-founder & CEO
-
Led the branding, launch, and growth of the startup Meravit, a Data Science and Software consulting company
-
Negotiated 4 contracts (tot: €407,790) with the Italian region Emilia-Romagna (3rd in terms of GDP) to create dAPPERtutto, application used by the employees to reserve working spaces
-
Negotiated 2 contracts (tot: €120,000) with Cèrèlia for a Data Science consultancy focused on improving their forecasting approach by leveraging Artificial Intelligence. Cèrèlia is a French international company in the food industry, with annual revenues close to €1 billion.
-
Negotiated 2 contracts with Deloitte (€174,580) for the front-end development of both the website and mobile application of a major Italian bank​
Mar 2022 - Aug 2022
Luxembourg (LUX)​
6 months
ERNST AND YOUNG (EY)
Junior Auditor - Real Estate
-
Extracted data on excel to conduct accuracy & completeness analysis of funds managing up to €100 Mil
-
Developed a python script with the goal to reduce by 50% the time spent on revenue testing procedures
-
Progressed from Assistant 1 to Assistant 2 in 5 months (35% faster than average 8 months)
Jul 2023 - Sep 2023
Luxembourg (LUX)
3 months
WEO
Data Scientist intern
-
Developed a deep learning U-Net model for semantic segmentation, used as input to track tree-canopy growth
-
Improved overall average F1 score from 72% to 80.3% (from 77.3% to 91.76% for trees/bushes)
-
Adapted scripts for cloud computing (AWS - Cloud9, SageMaker, S3, AirFlow), used for larger datasets trainings
-
Created in-depth model evaluation notebook, used for detailed and fast hyper-parameter tuning
Sep 2024 - Present
Paris
Cérélia
Data Science Consultant
-
Developed tailor-made AI algorithm to forecast sales, with horizons up to 18 months.
-
Improved 6-month horizon forecast accuracy (weighted MPE) by 9 percentage point (from 73% to 82%)
-
815+ SKUs processed on a weekly basis (97% of all SKUs of the Continental Europe Dough division), covering customers from 14 countries
-
Crafted proposal, collected qualitative and quantitative requirements from several stakeholders (Operations, Business, Sales, Finance), defined KPIs to evaluate the performance of the AI solution
-
Collected, cleaned, augmented, and preprocessed the input data for feature selection and feature engineering
-
Created more than 10 dashboards on Power BI for easier forecast reporting and visualisation
-
Deployed the solution in Fabric to automate forecast process
-
Designed and managed dedicated SAP solution to integrate the AI model output in production
Jan 2020 - Jan 2022
Rome
2 years
EasyDesk S.R.L.
Co-founder & CEO
-
Led a team of 6 people and co-founded EasyDesk, a flexible booking system that allows institutions to innovate and organize their spaces while collecting data to improve utilization
-
Installed EasyDesk at John Cabot University in Rome to safely reopen its facilities during Covid-19
-
Downloaded by 92% of the attending student body, and collected 20,000+ hours of bookings
Nov 2017 - Jan 2019
Ancona (IT)​
1 year & 3 months
LÖWENGRUBE
Waiter and Crew Trainer
-
Served 24+ hours/week, 6 days/week in a high-volume Bavarian style franchise (up to 210 seats), while attending college full-time
-
Managed the cash desk - up to €11,000 per night
-
Promoted to an apprenticeship contract after 3 months of work
-
Became crew trainer of 6 employees - from Oct 2018 to Jan 2019
EDUCATION
Sep 2022 - Jun 2024
Paris (FR)
ESSEC BUSINESS SCHOOL - CENTRALESUPÉLEC
MSc in Data Sciences and Business Analytics
-
Ranked #1 in Europe, #3 worldwide (QS Ranking 2024)
-
GPA: 16.75/20 (Forecasting 18/20, Marketing Analytics 18/20, Deep Learning 17/20, Econometrics 17/20)
-
Eleven-Strategy & DSBA M2 5-day Hackathon winner – revenue increase data consulting case
Aug 2019 - May 2021
Rome (IT)
JOHN CABOT UNIVERSITY
BA in Business Administration, Minor in Entrepreneurship
-
Summa cum Laude - 3.99/4.00 GPA
-
Academic Excellence Award in Business Administration 2021
-
Presidential Award for Outstanding Service to the John Cabot University 2021
-
Speaker at the International Council of Small Business (ICSB) conference in Paris in June 2021
-
Academic publication on SAGE Business cases, “EasyAccess: the Case of an Opportunity-Ready Entrepreneur”
Sep 2016 - Jul 2019
UNIVERSITÀ POLITECNICA DELLE MARCHE
Ancona (IT)
BS in Building Engineering
-
104/110 GPA
-
Graduated in 2 years and 10 months (only student of the course, out of over 100 who started in 2016)
SKILLS & INTERESTS
-
Programming Languages: Python, SQL (advanced) - PySpark, MongoDB, R, C++ (intermediate)
-
Cloud Computing: AWS (SageMaker, Cloud9, AirFlow, S3)
-
Business Intelligence: Power BI (advanced) - Fabric, Tableau (intermediate)
-
Languages: Italian (native), English (bilingual, IELTS: 8.5/9.0), Portuguese (intermediate), French (intermediate)
-
Photography: Owner, designer, and content creator of www.barchiesiphotography.com
-
Tennis: Placed #1 in Rio Rancho district and #4 in New Mexico state competition while spending one year abroad (USA) as an exchange student. MVP 2014/15 for the varsity tennis team of Rio Rancho High School (3,000+ students)
Contact
Below are some of my contacts. Feel free to get in touch for questions or job opportunities.