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Simone Marchioli

Milan Lombardy, Italy

Phone: xxx-xxx-xxxx

Email: xxx@xxxx.xxx



  • Looking For: industrial engineer, data scientist

  • Occupation: Architecture and Engineering

  • Degree: Master's Degree

  • Career Level: Qualified

  • Languages: Italian, English, French

Career Information:

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Highlights:With a Master's in Data Science for Operational Excellence and a background in Industrial Engineering, I have developed and implemented AI-driven automation and process optimization solutions that have streamlined operations and improved decision-making. My expertise lies in enhancing data reliability, designing user-centric tools, and collaborating with stakeholders to deliver impactful, business-aligned results.

Skills:Machine learning, AI, Big Data, Analytics, Software, Data Visualization, Logistic, Production, Optimization, Supply Chain, Business Intelligence, KPI Development, Adaptability

Goal:To leverage my skills in engineering, data analysis, and process optimization to contribute to innovative projects in the U.S. industrial and technology sectors, while enhancing my expertise in a dynamic and collaborative environment.


Experiences:

Associate 01/2024 - current
PriceWaterhouseCoopers Business Services S.r.l., Milan, Lombardy Italy
Industry: IT
Delivered impactful projects across financial, fashion, and energy sectors by optimizing data workflows, streamlining operations, and implementing AI-driven solutions. Key achievements include enhancing financial data accuracy, aligning global data standards, and driving compliance readiness for emerging regulations. Demonstrated strong technical expertise, strategic alignment, and client-focused delivery.
Financial Data Lineage Project: Streamlined financial data migration for a global fashion and jewelry company, modifying data flows and ensuring end-to-end accuracy. Delivered client updates and presented key performance Application Maintenance Project: Optimized backend operations for a financial system, enhancing data workflows and implementing efficient solutions to meet client needs. Delivered seamless system upgrades and impactful user improvements Data Catalog Alignment Project: Drove development of a unified data catalog, aligning local and global operations by integrating technical and functional requirements. Streamlined solutions to meet organizational goals and global standards AI Scouting Project: Identified automation opportunities for a banking organization by assessing departmental needs and challenges. Delivered tailored AI solutions to boost efficiency and achieve strategic goals AI Compliance Project: Defined and assessed AI applications for a leading energy company, mapping risks and ensuring readiness for AI Act compliance. Enabled informed decisions to confront regulatory standards--
Intern 05/2023 - 11/2023
Accenture, Milan, Lombardy Italy
Industry: Functional & Ind. Analytics
Improved functionality of an Early Warning System for a banking client by designing dashboards, resolving data inconsistencies through reverse engineering, and delivering technical documentation to enhance operational efficiency
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Education:

Università Politecnica delle Marche 09/2018 - 02/2022
Fermo, Marche, Italy
Degree: Bachelor's Degree
Major:Management/Industrial Engineering
I graduated with a bachelor's degree in Management Engineering from Università Politecnica delle Marche, where I gained a strong foundation in combining engineering and business management. The program taught me how to design and optimize production, logistics, and business processes, while integrating technological solutions.


LIUC Carlo Cattaneo University 02/2022 - 04/2024
Castellanza, Lombardy, Italy
Degree: Master's Degree
Major:Management/Industrial Engineering
Minor:Data Science for Operational Excellence
As a student of the **Data Science for Operational Excellence** program at LIUC, I’ve gained hands-on experience using tools like R, Power BI, and ARENA to optimize industrial processes and enhance decision-making. The program emphasizes applying data analytics and Industry 4.0 technologies to improve production, logistics, and supply chain operations. Practical projects and simulated factory work have prepared me to drive digital transformation and operational improvements in real-world industrial settings

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