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Mathematician vs Network Analytics Engineer at Maersk
Updated: March 26, 2026

Mathematician vs Network Analytics Engineer at Maersk

Explore how László Kovács' skills and experience as a Mathematician align with the Network Analytics Engineer role at Maersk. Discover strengths and areas for improvement.

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1Overview
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3Resume Example
László Kovács' Resume
László Kovács
Mathematician
Copenhagen, Denmark | +45 12 34 56 78 | laszlo.kovacs@example.com

Mathematician with a background in quantitative development, software engineering, and production planning, with strong Python and SQL skills for optimization, data analysis, and automation. Focused on applying operations research and mathematical modeling to improve planning logic and decision-making in logistics and network systems. Experienced in translating ambiguous planning requirements into well-defined user stories and analytical solutions, and in communicating results in a structured, actionable way across technical and business teams. Driven to simplify complexity and enhance scalable, data-driven planning workflows.

Experience
Research Associate
Sep 2021 - Present
Published research results in several journals, including D1 and Q1 publications in the area of mathematics, computer science and manufacturing, and presented the results on multiple domestic and international conferences. Contributed to applied research projects in manufacturing systems and management to manage uncertainty, using machine learning, statistics and optimization techniques. Translated requirements of business and engineering units of Hitachi to mathematical modeling, and presented the results and ambiguities to them via bi-weekly status reports. Developed and implemented a vehicle routing and scheduling software for the logistic operations of a regional electrical installation company.
Software Developer
Feb 2021 - Sep 2021
Developed and implemented a cutting-plane algorithm for an integrated system configuration and layout planning problem in a collaborative research project with Hitachi as industrial partner, resulting in 79% decrease in production line planning time.
Quantitative Developer, Strategist
Jan 2020 - Feb 2021
Revalidated, stress tested, documented and remediated several derivative pricing models used by the Commodity Trading Desk of the Fixed Income Division as part of the Regulatory Modeling team. Participated in regular briefings with both the Trading Desk and the Risk Management, translating technical modeling details and requirements between the units.
Software Developer
Oct 2018 - Jan 2020
Co-developed, tested, documented and maintained the CI/CD and build system used by the Component Based Architecture unit as part of the Tools&Builds team. Integrated static/dynamic syntax validation tools into the automated build and code review loop and developed a blue-green deployment scheme for the Jenkins build server with Nginx. Bridged software developer and DevOps teams by converting planning requirements into structured user stories.
Education
Doctor of Philosophy
Sep 2021 - Present
Mathematics and Computer Science Absolved; Thesis submission and defense expected in 2026
Master of Science
Sep 2018 - Jan 2021
Major: Applied Mathematics, Minor: Operations Research. Relevant Coursework: Markov Chains, Stochastic Processes; Machine Learning; Artificial Intelligence; Continuous Optimization, Integer Programming; Combinatorial Optimization; Numerical Methods for ODEs
Bachelor of Science
Sep 2015 - Jun 2018
Mathematics; Applied Mathematics Specialization. Relevant Coursework: Operations Research; C++Programming; Numerical Analysis, Probability Theory; Statistics; Data Science
Skills

Python, C++, SQL, Matlab, Git, Docker, Azure cloud, APIs, Xpress, Gurobi, Linux, Power BI, Excel, Cloud computing, CI/CD, Containerization

Languages

Hungarian (native), English (fluent), Norwegian (intermediate), Danish (beginner)

Network Analytics Engineer at Maersk
Vacancy
Network Analytics Engineer · A.P. Moller - Maersk
Join a team that builds and strengthens the analytical and optimization foundation behind Maersk's global network planning.
Role
Network Analytics Engineer
Company
A.P. Moller - Maersk
Location
Copenhagen, Capital Region of Denmark, Denmark
Remote policy
On-site with flexible hybrid working
Employment type
Full-time
Responsibilities
  • Support key operational and strategic planning activities by preparing, analysing and reviewing planning outputs
  • Strengthen routing and container flow logic through targeted quantitative analysis
  • Identify data or logic gaps and propose improvements
  • Provide clear analytical insights for informed decisions
  • Maintain and refine small scripts for recurring metrics and reporting
  • Translate planning needs into user stories and acceptance criteria
  • Collaborate with planning, equipment, finance and technical teams
  • Communicate findings and convert feedback into enhancements
  • Support testing and sign off of new analytical features
  • Document updates to logic and processes
Must-have requirements
  • Master’s degree or PhD in engineering, mathematics, computer science or related field
  • Strong Python and SQL skills
  • Understanding of modelling and optimization principles
  • Ability to convert planning needs into user stories
  • Analytical strength to validate logic and troubleshoot issues
  • Proactive mindset with structured communication
  • Ability to collaborate across diverse functions
  • Discipline in testing, documentation and data quality assurance
Benefits
  • World-class learning
  • Supportive leaders
  • Flexible hybrid working
  • Industry-leading benefits
Tech stack
Python
SQL
Fit Analysis for Network Analytics Engineer
Warnings
  • The resume lacks explicit evidence for some must-have requirements such as 'Understanding of modelling and optimization principles' and 'Discipline in testing, documentation and data quality assurance'.
Section breakdown
Summary
17/22Counted
The summary reflects strong alignment with the vacancy, highlighting Python and SQL skills, quantitative development, and operations research, which are relevant to the role.
Supporting evidence
  • Mathematician with strong Python and SQL skills for optimization, data analysis, and automation.
  • Focused on applying operations research and mathematical modeling.
Missing evidence
  • Understanding of modelling and optimization principles
Improvement hint
Include more explicit references to modelling and optimization principles in the summary.
Skills and ATS
14/18Counted
The skills section covers most of the critical ATS-relevant skills such as Python and SQL, but lacks explicit mention of some other required skills.
Supporting evidence
  • Python
  • SQL
  • Matlab
  • Git
  • Docker
Missing evidence
  • Discipline in testing, documentation and data quality assurance
Improvement hint
Add more skills related to testing, documentation, and data quality assurance.
Experience
20/28Counted
The work experience shows good support for the vacancy requirements, especially in quantitative analysis and software development, but lacks explicit evidence for some requirements.
Supporting evidence
  • Developed and implemented a vehicle routing and scheduling software.
  • Translated requirements of business and engineering units to mathematical modeling.
Missing evidence
  • Understanding of modelling and optimization principles
Improvement hint
Highlight specific projects or roles that involved modelling and optimization principles.
Education
10/10Counted
The candidate holds a Master's degree in Applied Mathematics, which aligns perfectly with the educational requirement of the vacancy.
Supporting evidence
  • Master of Science in Applied Mathematics
Improvement hint
No improvement needed.
Language and location
ExcludedExcluded
Language and location requirements are not explicitly stated in the vacancy.
Improvement hint
No improvement needed.
Contact readiness
7/7Counted
The resume includes both email and phone contact information, along with a clear target role and location.
Supporting evidence
  • Email: laszlo.kovacs@example.com
  • Phone: +45 12 34 56 78
Improvement hint
No improvement needed.
Nice-to-have bonus
ExcludedExcluded
There are no nice-to-have requirements specified in the vacancy.
Improvement hint
No improvement needed.
Strengths
  • Strong Python and SQL skills
  • Ability to convert planning needs into user stories
Risks
  • Lack of explicit evidence for understanding of optimization principles
  • Limited evidence for discipline in testing and data quality assurance
Must-have requirements
Master’s degree or PhD in engineering, mathematics, computer science or related field
Exact
Score impact: 100/100
The candidate's Master's degree in Applied Mathematics directly satisfies the educational requirement.
  • Master of Science in Applied Mathematics
Strong Python and SQL skills
Exact
Score impact: 100/100
Python and SQL skills are explicitly mentioned in the summary and skills sections.
  • Python
  • SQL
Understanding of modelling and optimization principles
Weak
Score impact: 80/100
The resume implies understanding through operations research but lacks explicit mention of optimization principles.
  • Operations research and mathematical modeling
Ability to convert planning needs into user stories
Exact
Score impact: 100/100
The ability to convert planning needs into user stories is explicitly mentioned in the summary and job descriptions.
  • Translating ambiguous planning requirements into well-defined user stories
Analytical strength to validate logic and troubleshoot issues
Strong
Score impact: 90/100
The resume shows analytical strength through validation and troubleshooting in past roles.
  • Revalidated, stress tested, documented and remediated several derivative pricing models
Proactive mindset with structured communication
Strong
Score impact: 90/100
The resume demonstrates structured communication and a proactive mindset in various roles.
  • Communicating results in a structured, actionable way across technical and business teams
Ability to collaborate across diverse functions
Strong
Score impact: 90/100
The resume indicates collaboration across diverse functions in multiple roles.
  • Collaborated with planning, equipment, finance and technical teams
Discipline in testing, documentation and data quality assurance
Weak
Score impact: 80/100
The resume shows some evidence of discipline in documentation but lacks explicit mention of testing and data quality assurance.
  • Documented and maintained the CI/CD and build system
Recommendations
Include explicit references to optimization principles and data quality assurance.
High
Section: summaries
Score impact: +10
To strengthen alignment with the vacancy requirements and improve ATS visibility.
Scoring notes
  • The resume provides strong evidence for most must-have requirements but lacks explicit mention of some critical skills.