Summary
Overview
Work History
Education
Skills
Languages
Timeline
Generic

Santi Pier Pistone

Milano

Summary

Prodigious Data Analyst/Scientist accomplished at processing large-scale stores of disorganized data into harmonious and accessible Business Intelligence tools. Deft at providing easily understood dashboards and tools. Noted creator of media accessible to anyone from senior executives to customer service personnel.

Overview

1
1
year of professional experience

Work History

Data Scientist & Business Intelligence M Thesis

VAT Vakuumventile
03.2023 - 10.2023
  • Identified, measured and recommended improvement strategies for KPIs across business areas.
  • Collaborated with internal stakeholders, identifying and gathering analytical requirements for customer, product and projects needs.
  • Utilized advanced querying, visualization and analytics tools to analyze and process complex data sets.
  • Applied loss functions and variance explanation techniques to compare performance metrics.
  • Improved data collection methods by designing surveys, polls and other instruments.
  • Created and implemented new forecasting models to increase company production planning.
  • Designed Python dashboard in order to made easier visualization for coworkers from other part of supply chain
  • Modeled predictions with feature selection algorithms.
  • Assessed accuracy and effectiveness of new and existing data sources and data analysis techniques.
  • Participated in requirements meetings to understand business needs.

Education

Master of Science - Computer Science, Artificial Intelligence

Politecnico Di Milano
Milano, Italy
10.2023

Bachelor of Science - Computer Engineering

Università Di Catania
Catania, Italy
07.2021

High School Diploma -

Liceo Scientifico "O.M. Corbino"
Siracusa, Italy
07.2018

Skills

  • Data Operations
  • Business Requirements Gathering
  • Dashboard Creation
  • Data Quality Assessment
  • Neural Network and Deep Learning
  • Data Analysis and Mining Programming Languages
  • Time Series Forecasting
  • Operational Improvements
  • Technical Design Documentation
  • Advanced Excel Spreadsheet Functions
  • Applied Statistics
  • Database Management SQL and NoSQL
  • Machine Learning
  • Data Warehousing and Business Intelligence (DWBI)

Languages

English
Advanced (C1)

Timeline

Data Scientist & Business Intelligence M Thesis

VAT Vakuumventile
03.2023 - 10.2023

Master of Science - Computer Science, Artificial Intelligence

Politecnico Di Milano

Bachelor of Science - Computer Engineering

Università Di Catania

High School Diploma -

Liceo Scientifico "O.M. Corbino"
Santi Pier Pistone