Nicola Simboli

developer, analyst and consultant

I help people to transform data into information.

Experience

Senior Data Scientist - Tableau Specialist

Docebo (NASDAQ:DCBO,TSX:DCBO)

June 2022 - Present

Business Intelligence consultant advanced analytics

Methode

February 2020 - June 2022

Business Intelligence Specialist

Ascopiave (EURONEXT STAR MILAN:ASC)

July 2016 - February 2020

Business Analyst

Ascotrade

September 2011 - July 2016

Logistics data analyst

CEVA Logistics (SIX:CEVAL)

March 2011 - September 2011

External Consultant

Ancora

December 2008 - October 2010

Internship

Mobilificio Florida

September 2009 - February 2010

Internship

Consorzio Universitario di Pordenone

November 2007 - June 2008

Education

Sydney University of Technology (Insearch)

Full time English Course

Full time English course and International English Language Testing System (IELTS) exam preparation.

November 2010 - December 2010

University of Trieste

Master of Science (M.S.) - Management and Logistics Engineering

Grade: 110/110

· Master thesis: "application of lean manufacturing techniques in a furniture industry"
· Italian name: Laurea specialistica in Ingegneria gestionale e logistica integrata

September 2008 - November 2010

University of Trieste

Bachelor of Science (B.S.) - Industrial Engineering and Management

Grade: 99/110

· thesis: "safety procedures for people attending the Consorzio Universitario of Pordenone"
· Italian name: Laurea triennale in Ingegneria industriale, curriculum gestionale e logistica integrata

October 2004 - July 2008

Hard Skills

Programming & markup languages

• Python (Flask; BeautifulSoup; Numpy; Pandas; SciPy; ScikitLearn; Matplotlib; Plotly; InstagramAPI; Telepot)
• PHP
• HTML5
• CSS3
• VBA

Version control platforms

• GitHub

Data

• Snowflake
• SQL Server
• mySQL
• Oracle
• MongoDB
• AWS RDS
• AWS Redshift
• AWS DynamoDB

Storage

• AWS S3
• Google Drive
• Dropbox

ETL Tools

• Tableau Prep Builder
• SAP Data Services
• Microsoft SQL Server Integration Services (SSIS)

Data modeling tools

• SAP Information Design Tool (SAP BusinessObjects)
• SAP Universe Design Tool (SAP BusinessObjects)

Business Intelligence front end tools

• SAP Web Intelligence (Webi)
• Tableau Desktop
• Tableau Server
• Tableau Cloud
• Microsoft Power BI
• Flourish data visualisation and storytelling
• SAP Analytics Cloud (SAC)
• Sisense
• Domo
• AWS Quicksight

EPM Tools

• SAP Business Planning and Consolidation (BPC)

Process mining tools

• CELONIS

Marketing & analytics tools

• Google Analytics

Business tools

• Jira Work Management
• Confluence
• Slack
• Microsoft Excel
• Microsoft Access
• Microsoft Word
• Microsoft Outlook
• Microsoft Visio
• Microsoft Teams
• Microsoft Power Point
• Google Sheets
• Google Docs
• Google Slides
• Google Forms
• Google Meet

Design

• Adobe Photoshop
• Adobe Lightroom
• Adobe InDesign
• Adobe Illustrator

Soft skills

• risk taker
• optimistic and positive mind
• creative
• critical thinker
• team player
• business acumen
• data intuition
• self improvement

Projects

GeoClassy Python package

The geoClassy Python package was developed from the need of using GeoJSON files with OpenStreetMap data to classify points which GPS coordinates are known. Using the GeoJSON format as input, the package can also be used with files from sources different from OpenStreetMap.

Examples of use:

- find the neighborhood of the city with most AirBnB beds;
- classification of customers by key account area of competence;
- filter of road accidents in a certain province;
- assessment of the air quality for a specific Municipality;
- list of cities affected by the passage of a hurricane.

February 2019 - Present

Amazon best deals about Lego and products for pets

The project is based on reading prices from Amazon e-commerce platforms and to publish the greatest deals to segmented user groups (on Telegram channels and Facebook pages). At this moment there are three groups: users passionate by Lego bricks, owners of cats, owners of dogs. The tool is one hundred percent written in Python 3.x/MySQL and uses several APIs (including Product Advertising API, Telegram API, and Facebook Graph API).

January 2019 - Present

Delivery 74

The website provided a list of shipping fees from several parcel companies in Italy, based on the shipping location, the delivery location, the dimensions, and the weight of the box. Using this platform, casual shipping users could choose the cheapest solution based on the performance level described. I developed every part of the website (mainly in PHP, HTML, MySQL and jQuery) and also project the User Interface with complex controls (for example autocomplete of locations based on geolocation APIs). The project ended mostly because parcel services didn't have affiliation programs so it was very difficult to monetize the user's experiences.

March 2011 - November 2012