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Faisal Hafeez

@faisalhafeez

Manufacturing data analyst and process engineer at Danieli S.p.A., using Python and Power BI to analyze production and reduce manual handling by 18%.

Italy

Message

At Danieli S.p.A., I analyzed 22 process parameters with Python methods including ANOVA and Random Forest to identify those most crucial to controlling a severe quality defect. I also worked with Operations, R&D and Engineering to integrate automation into production lines, reducing manual handling steps by 18%.

At DiSAT, Politecnico di Torino, I used Excel and Python to find relationships between process parameters and product quality in advanced manufacturing. Earlier, at Werrick Healthcare, I improved material flow and designed the space-utilization layout for a new production facility.

Experience

Work history, roles, and key accomplishments

Process Engineer

Danieli S.p.A.

Jul 2025 - May 2026 (10 months)

Analyzed process parameters using Python and machine learning to control quality defects. Partnered with teams to integrate automation, reducing manual handling steps by 18%.

Python ANOVA Random Forest Excel Power BI Machine Learning Lean Six Sigma Root Cause Analysis Value Stream Mapping Automation

Process Optimization Engineer

DiSAT, Politecnico di Torino

Mar 2022 - Apr 2025 (3 years 1 month)

Used advanced Excel and Python to analyze complex data from testing equipment, identifying correlations between process parameters and product quality. Supervised graduate engineers in data analysis.

Excel Python Data Analysis Industry 4.0 Process Optimization Supervision

Process Improvement Engineer

Werrick Healthcare

Mar 2018 - Feb 2022 (3 years 11 months)

Led end-to-end process improvement projects, including value stream mapping and facility layout design for a new production facility.

Process Improvement Value Stream Mapping Layout Design Material Flow Optimization

Industrial Engineer

QSA Surgical

Dec 2015 - Aug 2016 (8 months)

Managed daily production reports and operations analytics using ERP systems. Used data to drive process improvements and maintained production and capacity plans.

ERP Production Reporting Data Analysis Capacity Planning Time Study