M M
@mm012
Quality Assurance leader and Data Science master’s candidate, turning complex analytical and AI outputs into actionable evaluations.
What I'm looking for
I bring 15+ years of quality assurance experience in method validation, structured data evaluation, and ISO/IEC 17025 compliance, consistently delivering 100% alignment with strict evaluation rubrics. I’m known for identifying anomalies, inconsistencies, and systematic errors in multi-parameter datasets, then documenting detailed, actionable feedback for continuous improvement.
In my current role, I lead SOP and rating rubric development, manage proficiency testing with statistical analysis, and support accreditation-ready reporting in highly regulated, autonomous environments. Alongside this, I’m a Data Science master’s candidate building Python, machine learning, and deep learning capabilities—so I can apply the same scientific rigor to high-quality AI data assessment and structured output validation.
Experience
Work history, roles, and key accomplishments
Quality Assurance & Laboratory Lead
Comisión Nacional de Energía Atómica (CNEA)
Apr 2013 - Present (13 years 2 months)
Evaluated and validated complex analytical datasets to ensure 100% compliance with ISO/IEC 17025 and structured evaluation guidelines. Developed SOPs and rating rubrics, led interlaboratory proficiency testing, and produced technical reports for accreditation bodies.
Quality Manager & Department Lead
CNEA Pilcaniyeu Complex & BEHA Ambiental
Jun 2014 - Dec 2021 (7 years 6 months)
Designed and implemented a lab Quality Management System aligned with IRAM-ISO/IEC 17025:2005, standardizing frameworks for data evaluation and process control. Conducted internal audits and non-conformance/root-cause investigations and trained personnel in assessment workflows and statistical quality control.
Laboratory Supervisor (Microbiology & Physicochemical)
BEHA Ambiental
Jan 2006 - Mar 2013 (7 years 2 months)
Achieved ISO/IEC 17025 accreditation through protocol standardization, continuous data quality monitoring, and structured output validation. Supervised review and validation of high-volume analytical results, maintained procedural compliance, and tracked calibration while managing projects independently.
Education
Degrees, certifications, and relevant coursework
Universidad Nacional Arturo Jauretche (UNAJ)
Master of Science, Data Science
2025 -
Master of Science in Data Science at Universidad Nacional Arturo Jauretche (UNAJ) (expected Apr 2027). Thesis focuses on adapting a deep learning model for breast density classification in local mammographic images.
Universidad Nacional de Rosario
Bachelor of Science, Biochemistry
Bachelor of Science in Biochemistry from Universidad Nacional de Rosario (Dec 2006).
Universidad Nacional de San Martín (UNSAM)
Diploma, Data Science & Artificial Intelligence
2023 -
Diploma in Data Science & Artificial Intelligence at Universidad Nacional de San Martín (UNSAM), completed intensive training in Python programming, machine learning fundamentals, data science pipelines, and AI evaluation frameworks (Feb–Mar 2023).
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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