Marco Radaelli

About

Experience

• McKinsey & Company (4 yrs 10 mos)
  • Engagement Manager
    Jul 2025 - Present · 1 yr

    Travel & Logistics - AI QuantumBlack

  • Senior Digital Business Analyst
    Sep 2021 - Jun 2025 · 3 yrs 10 mos

    Travel & Logistics - McKinsey Digital

• Summer Business Analyst at McKinsey & Company
  Jun 2020 - Sep 2020 · 4 mos

  McKinsey Digital

• ISBE (Institute for Student Business Education) Analytics Consultant at McGaw YMCA
  Apr 2019 - Dec 2019 · 9 mos

  - Manipulated, using Excel and Python, complex data on local YMCA’s client profiles to extract relevant information for pricing and marketing optimization - Developed and pitched a series of data-based recommendations to reverse 4-year long trend of decreasing profits - Designed new website and marketing plan to increase visibility and revenue

• Machine Learning Research Intern at Bonn-Rhein-Sieg University of Applied Sciences
  Jun 2019 - Sep 2019 · 4 mos

  - Awarded $3,500 DAAD RISE grant to perform ML research in Bonn, Germany - Enabled innovative analysis and classification of polymer samples by generating and manipulating hyperspectral images providing high spatial and spectral resolutions 

combining Raman and IR microspectroscopy techniques - Found high correlation patterns between Raman and IR multispectral images, and implemented advanced ML algorithms in Matlab, R and Python to perform cross-modal predictions

• Member of Electrical and Software Engineering Teams at NUSolar
  Oct 2017 - Jun 2019 · 1 yr 9 mos

  - Developed telemetry system in Python, C++ and Scala to capture and translate UDP packets from CAN-bus raw format to human-readable format - Designed custom GUI to display and monitor resulting data in real-time during car race - Designed, using AutoDesk EAGLE, a new fully-analog circuit for the light system of NU’s 7th gen. solar-powered car for the 2019 Formula Sun Grand Prix at Austin’s Circuit of The Americas