Arief Marcellino Ferdiansyah, S.T.

I am Marcellino, a seasoned Quality Assurance Specialist with over three years of experience in pharmaceutical manufacturing, steadfastly committed to ensuring compliance with quality standards through meticulous qualification, validation, change control, environmental monitoring, deviation management, instrument calibration, and internal audits. My contributions have significantly enhanced operational efficiency by implementing robust quality management systems, such as ensuring production environments adhere to GMP standards and mitigating deviation risks through precise analysis. Additionally, I possess advanced skills in data analysis and technology, encompassing Python, Power BI, SQL, and machine learning, which have facilitated initiatives like report automation and predictive analysis for process optimization. Certified in AI Deep Learning and Lean Six Sigma Green Belt, I am poised to contribute as a Data Analyst, QA Engineer, or AI Specialist in the manufacturing sector.

AI Deep Learning Certification

1. Predictive Equipment Failure Model
March 2024 – December 2024

• Developed a machine learning model using Python (Scikit-learn) to predict equipment failures, increasing production uptime by 15%.

2. QA Manufacturing Dashboard
September 2023 – December 2023

• Designed a Power BI dashboard for real-time quality monitoring, reducing QA reporting time by 50%

3. Product Quality Data Analysis
January 2024 – April 2024

• Analyzed quality data with SQL and Python, reducing defect rates by 10% through actionable insights.

4. QA Report Automation Script
June 2023 – August 2023

• Built a Python script to automate QA reports, saving 10 hours of manual work per week.

5. Microbiological Data Analysis
January 2025 – February 2025

• Performed microbiological analysis using Python to ensure product compliance with quality standards at Medion, achieving a 98% compliance rate.

6. Chemical Production Process Analysis (Perhutani)
June 2020 – August 2020

• Analyzed chemical production processes during an internship at Perhutani, identifying 5 potential quality risks that were subsequently addressed.

7. Blockchain Visualization Project
March 2025 – April 2025

• Developed an interactive 2D animation using JavaScript (p5.js) to visualize blockchain processes, including block creation, hashing, and node verification, as part of a self-directed learning initiative in Web3.

R.S. Handayani

HR Division - PT Medion

St. Babakan Ciparay no. 282

Bandung

(022) 6030612