I am a data professional with a strong background in engineering and business, skilled in designing analytical, statistical, and machine-learning products. My value proposition lies in being approachable and team-oriented, emphasizing the delivery of efficient, scalable, and long-term solutions while putting passion in my craft. Driven by curiosity and a proactive mindset, I learn rapidly and adapt to new domains and environments with ease and flexibility.

Massimo Molossi

I am a data professional with a strong background in engineering and business, skilled in designing analytical, statistical, and machine-learning products. My value proposition lies in being approachable and team-oriented, emphasizing the delivery of efficient, scalable, and long-term solutions while putting passion in my craft. Driven by curiosity and a proactive mindset, I learn rapidly and adapt to new domains and environments with ease and flexibility.

Available to hire

I am a data professional with a strong background in engineering and business, skilled in designing analytical, statistical, and machine-learning products.

My value proposition lies in being approachable and team-oriented, emphasizing the delivery of efficient, scalable, and long-term solutions while putting passion in my craft. Driven by curiosity and a proactive mindset, I learn rapidly and adapt to new domains and environments with ease and flexibility.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate

Language

Italian
Fluent
English
Fluent

Work Experience

Data Scientist & BI Developer at Syngenta
August 1, 2023 - November 1, 2025
Lead end-to-end data product development for the European R&D division; developed actionable statistical and ML models for thousands of agrochemical trials; engineered high-performance ETL pipelines processing 50+ GB of data from sensors, drone flights, and weather stations; designed KPI dashboards with Power BI and Streamlit for 100+ users; automated data quality checks, accelerating discovery and reporting by 5x; integrated LLMs into workflows to automatically extract tabular data from unstructured text (RAG/LoRA).
Student Researcher at University of Illinois at Chicago
March 1, 2022 - March 1, 2022
Developed MILP cost models and reinforced-learning ML algorithms to study network design and economics of hybrid additive manufacturing for high-value metal components; authored the paper "Toward Cloud Remanufacturing: Economic Feasibility of Hybrid Additive Manufacturing Enabled Metal Component Repair".

Education

M.S. in Industrial Engineering at University of Illinois at Chicago
January 1, 2020 - January 1, 2022
M.S. in Industrial and Management Engineering at Politecnico di Milano
January 1, 2019 - January 1, 2022
B.S. in Industrial and Management Engineering at Politecnico di Milano
January 1, 2015 - January 1, 2019

Qualifications

Gen AI with LLMs - Deep Learning.AI
January 1, 2025 - November 1, 2025
Machine Learning Engineering for Production (MLOps) - Deep Learning.AI
January 1, 2024 - November 1, 2025
AI Engineer – IBM Professional Certifications
January 1, 2023 - November 1, 2025
Data Scientist – IBM Professional Certification
January 1, 2022 - November 1, 2025
Information Engineer – Italy’s National Council of Engineers
January 1, 2022 - November 1, 2025

Industry Experience

Software & Internet, Manufacturing, Education, Professional Services, Media & Entertainment