About
I'm a 28-year-old data science enthusiast. I strive to build my professional
career on this glamorous topic and I'm nurturing data science
knowledge day by day. I'm creative, genuinely berserk and eclectic:
I play the piano, banjo, guitar and I love cycling and reading as well
as solving tricky riddles.
Proven track record of leading Data Science applying CRISP-DM process,
using the following tools:
- Programming languages: Python
- Data Visualization tools: Microsoft Power BI
- Agile & Software development tools: Git, Azure DevOps, CI/CD
- Cloud solutions: mainly on Microsoft Azure & Databricks
Data Scientist and Demand Planner
- Company: EssilorLuxottica
- City: Agordo, Italy
- Degree: Master & Bachelor in Maths
- Birthday: 6 September 1996
- Email Address: motta607@gmail.com
- Phone: +39 375 5359970
Resume
Download CVEducation
MSc in Mathematics
2018 - 2020
University of Padua, Padua, Italy
Final Mark: 110/110
Principal studies:
Cryptography, Differential and Algebraic Geometry, Functional Analysis, Stochastic Processes, Physical Mathematics
Thesis: Possibile backdoor nella crittografia su curve ellittiche.
BSc in Mathematics
2015 - 2018
University of Padua, Padua, Italy
Principal studies: Basic of advanced mathematics, Python, Linear Algebra
High School Diploma
2010 - 2015
Liceo Scientifico "Niccolò Tron", Schio, Italy
Courses & Certifications
Deep Learning Specialization
Deeplearning.ai (03/2024)
- Neural Networks and Deep Learning
- Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
- Structuring Machine Learning Projects
- Convolution Neural Networks
- Sequence Models
SQL Advanced
HackerRank (10/2024)
Distributed Computing with Spark SQL
Coursera (09/2024)
SQL for Data Science
Coursera (09/2024)
Time Series Analysis, Forecasting, and Machine Learning
Udemy (01/2024)
Applied Machine Learning with Python
Coursera (02/2021)
Applied Text Mining with Python
Coursera (02/2021)
Applied Plotting, Charting & Data Representation with Python
Coursera (02/2021)
Introduction to Data Science with Python
Coursera (02/2021)
B2 certification
University of Padova (02/2021)
Professional Experience
Data Scientist and Demand Planner
03/2021 - Present
EssilorLuxottica, Agordo, Italy
- Laveraging on mathematical thinking and python skills to improve our forecasting algorithms for wholesales channel.
- Enhancing Data Science and Business knowledges thanks to projects in collaboration with "La Sapienza" University.
- Working closely with Product, Distribution, and S&OP teams to gather insights from the market to enhance our KPIs.
Tutor
2018 - 2020
University of Padua, Padua, Italy
Skills
Programming Languages
Microsoft Suite
Other Analytics Software
Python Libraries
Operating Systems
Languages
Portfolio
Deep Learning (Classification): Advanced NPI Volume Analysis
Develop a DNN for forecasting purposes exploiting poor sales during the forecast review process. Furthermore, propose a Bayesian-based tool for translating dates from creation to delivery.
- Programming Languages & Software: Python, Excel
- Optimization: PyTorch, Scipy
- People Management: Work with one partner
Optimization: Sales/Customer reliability
Developed a forecast-review statistical tool capable of modeling the reliability of sales information as the number of customers increases.
- Programming Languages & Software: Python, Excel
- Optimization: Scipy Optimization
- People Management: Alone
Machine Learning (Regression): New Algorithm for Calculating the Store Coverages
Retail-oriented project. Developed a never-seen custom woc calculation algorithm based on several attributes like Lead Time, Sales, Service Level, Seasonality.
- Programming Languages & software: Python
- Machine Learning: Time series Analysis (ARIMA), auteregressive linear model (statsmodel) with seasonality boost
- People Management: Work with one partner
Machine Learning (Regression + Classification): Impact of physical samples on sales
Studied the relationship between the samples in bags and the sales in the wholesales channel. Developed basic statistical indicators and models to quantify this relationship.
- Programming Languages & Software: Python, Excel, PowerPoint
- Machine Learning: Linear and Logistic Regrssion via Scikit-learn and statsmodel.
- People Management: Work with one partner
Publications
Articles & Papers
- Are you doing better than chance? - Medium Article
Contact
Location:
Schio, Italy
Email:
motta607@gmail.com
Call:
+39 375 5359970