Where is the wisdom we have lost in knowledge?
Where is the knowledge we have lost in information?
T.S. Eliot
Passionate in collecting and trasforming information into wisdom.
Ever since I was a little boy, using a computer was one of my favorite hobbies and even now I always fall asleep with my computer near my head.
After my last year of high school I decided to attend Statistics Science University in Bologna due to my strong interest in maths
which is a fondamental importance in making business decisions.
I got a bachelor's degree and then I obtained a master’s degree in Statistics Science.
During these years I was involved in several students' activities and during one of these I met a professor from Milan who discussed
his research studies which inspired my curiosity about the potentialness of the Big Data world.
Green Card (VISA) Holder.
Highly accomplished and results-oriented Data and AI professional with a strong background in developing, architecting, and deploying end-to-end data and AI solutions. Proven ability to translate complex data insights into actionable strategies, lead cross-functional teams, and serve as a trusted advisor to stakeholders and executives.
• Architect and develop advanced analytic solutions on car movements and driver behavior using sensor data, influencing product strategy and design.
• Design and evaluate new product features and marketing campaigns through rigorous A/B testing, transforming raw data into actionable business outcomes. Reduced users complaints from 2.2 to 0.7 using Bayesian inference.
• Lead the end-to-end delivery of analytic offerings, collaborating extensively with stakeholders and data engineering teams to ensure robust and scalable data architectures. Saved 8+ hours moving from Spark to Ray and Daft.
• Provide strategic technical guidance, acting as a trusted advisor to client executives on data-driven initiatives.
• Technologies: SQL, Python, R, Tableau, AWS (Athena, Redshift, Bedrock, CloudWatch), Databricks.
• Designed and built analytics products that are used to continuously monitor and optimize the network performance of all Amazon Robotics solutions, across all customers.
• Collaborated with customers to understand their needs, translating business requirements into comprehensive data and analytics product designs that enabled proactive performance assessment.
• Identified critical data trends and developed actionable insights, informing strategic decisions and operational improvements.
• Architected and integrated internal documents into a Slack ChatBot using Generative AI (Bedrock), demonstrating expertise in AI solution deployment within a cloud environment.
• Technologies: SQL, Python, R, Tableau, AWS (Athena, Glue, Redshift, Bedrock, CloudWatch).
Bridging the gap between IT/Data and multidisciplinary teams:
- Develop and certify analysis (report/statistical significance) on demand
- Prepare and present results
Responsibilities on telling the stories behind data coming from telematics blackbox installed in more than 4 Million vehicles. Main goals are reporting with automated dashboards, extract insights with advanced analysis like geospatial and cluster analysis and gain insight as customer behaviour classification
Client: Amplifon EMEA
- Sales Intelligence
- Time Serie Forecasting
Client: AXA Italy
- ChatBot Deployment
Client: Agos
- OCR model
- Client: Lombardy Region: Technical Assistance Management Authority (control, monitoring and evaluation of the POR EFS Operational Program 2014-2020)
- Client: Veneto Region: Technical Assistance Support, Monitoring, Monitoring and Closure of Operations POR EFS Operational Program 2007-2013
- Client: Provision of technical-scientific and informatics support services in the program of observatory for people with disabilities (2017/2018) to identify the features which could help disabled people to enter job market with the most performing and durable job.
Tutor in University exam as:
University Cooperative born to help people who can't afford university because of money.
Core business of the cooperative was to find job compatible with their studies.
My aim was:
- Head of information system
- Management of study rooms of the University of Bologna to allow students to study by working
The goal of the Master is to train people specializing in the use of Business Intelligence and Big Data Analytics techniques to manage large amounts of data (structured and not) to support the management procedures processes of companies and public organizations. The professional figure is that of the "Data Scientist", a professional with multidisciplinary skills (statistic, computer science, economics and management) necessary for the processing and enhancement of business data to support knowledge and decision-making processes.
Master of Science in Statistics, thesis in "From Big Data to Business Intelligence, Case of study"
Bachelor's degree in statistics, curriculum Business Management