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Mathematician Resume vs Network Analytics Engineer Job
Updated: March 26, 2026

Mathematician Resume vs Network Analytics Engineer Job

A detailed comparison of Lars Hansen's resume for a Mathematician role against the Network Analytics Engineer position at A.P. Moller - Maersk.

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Overall score
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Moderate matchAnalysis complete
Evidence fit
72
ATS presentation
65
Confidence
85%
1Introduction
2Resume Analysis
3Job Description Analysis
Lars Hansen's Resume
Lars Hansen
Mathematician

Email: larshansen@example.com

Phone: +45 12 34 56 78

Location: Copenhagen, Denmark

Summary

Mathematician with experience in software development, quantitative development and production planning, with strong Python and SQL skills for optimization and analytical workflows. Background in operations research, applying linear and mixed-integer programming and mathematical modelling principles to complex logistics and production planning problems. Skilled in translating planning needs into structured models and user stories, and in communicating analytical insights clearly to support robust, scalable decision-making processes.

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. Built mixed integer linear programming models for various engineering problems arising from production line planning. 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, using high performance C++ implementation of a local search scheme.

Software Developer
Feb 2021 - Sep 2021

Developed and implemented a MILP and 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

Eotvos Lorand University, Budapest, HU
Mathematics and Computer Science Absolved; Thesis submission and defense expected in 2026

Master of Science
Sep 2018 - Jan 2021

Eotvos Lorand University, Budapest, HU
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

Eotvos Lorand University, Budapest, HU
Mathematics; Applied Mathematics Specialization Relevant Coursework: Operations Research; C++Programming; Numerical Analysis, Probability Theory; Statistics; Data Science

Skills

Python, C++, SQL, Matlab, Git, Docker, 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 A.P. Moller - 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
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 decision making
  • Maintain and refine small scripts for 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 'Discipline in testing, documentation and data quality assurance'.
  • The contact readiness is slightly reduced due to the absence of a clear target role in the personal details.
Section breakdown
Summary
18/22Counted
The summary reflects strong alignment with the vacancy, highlighting Python, SQL, and optimization skills, and the ability to translate planning needs into user stories.
Supporting evidence
  • Mathematician with experience in software development, quantitative development and production planning, with strong Python and SQL skills for optimization and analytical workflows.
Missing evidence
  • Discipline in testing, documentation and data quality assurance
Improvement hint
Include more details on testing, documentation, and data quality assurance in the summary.
Skills and ATS
14/18Counted
The skills section covers most of the critical skills like Python and SQL, but lacks explicit mention of testing and documentation skills.
Supporting evidence
  • Python
  • SQL
Missing evidence
  • Testing
  • Documentation
Improvement hint
Add skills related to testing and documentation to enhance ATS visibility.
Experience
22/28Counted
The experience section provides strong evidence of relevant work in optimization, modeling, and software development, but lacks explicit mention of testing and documentation discipline.
Supporting evidence
  • Developed and implemented a vehicle routing and scheduling software for the logistic operations.
  • Built mixed integer linear programming models for various engineering problems.
Missing evidence
  • Discipline in testing, documentation and data quality assurance
Improvement hint
Highlight specific experiences related to testing and documentation in past roles.
Education
10/10Counted
The candidate holds a Master's degree and is pursuing a PhD in relevant fields, fully meeting the educational requirements.
Supporting evidence
  • Master of Science in Applied Mathematics
  • Doctor of Philosophy in Mathematics and Computer Science
Improvement hint
No improvement needed in education section.
Language and location
ExcludedExcluded
Language and location are not explicitly required by the vacancy.
Contact readiness
6/7Counted
Both email and phone are present, but the target role is not clearly defined in personal details.
Supporting evidence
  • Email: larshansen@example.com
  • Phone: +45 12 34 56 78
Missing evidence
  • Clear target role in personal details
Improvement hint
Specify the target role in personal details to improve contact readiness.
Nice-to-have bonus
ExcludedExcluded
No nice-to-have requirements specified in the vacancy.
Strengths
  • Strong educational background with a Master's and ongoing PhD.
  • Proven experience in Python, SQL, and optimization.
Risks
  • Lack of explicit evidence for testing and documentation discipline.
Critical issues
  • The resume lacks explicit evidence for 'Discipline in testing, documentation and data quality assurance'.
  • The target role is not clearly defined in personal details.
Must-have requirements
Master’s degree or PhD in engineering, mathematics, computer science or related field
Exact
Score impact: 100/100
The candidate's educational background directly matches the requirement.
  • Master of Science in Applied Mathematics
  • Doctor of Philosophy in Mathematics and Computer Science
Strong Python and SQL skills
Exact
Score impact: 100/100
The candidate has explicitly listed Python and SQL as skills and mentioned them in the summary.
  • Python
  • SQL
Understanding of modelling and optimization principles
Exact
Score impact: 100/100
The candidate's experience in modeling and optimization is well-documented in job descriptions.
  • Built mixed integer linear programming models
  • Developed and implemented a MILP and a cutting-plane algorithm
Ability to convert planning needs into user stories
Exact
Score impact: 100/100
The candidate has demonstrated this ability in multiple roles.
  • Skilled in translating planning needs into structured models and user stories
  • Bridged software developer and DevOps teams by converting planning requirements into structured user stories
Analytical strength to validate logic and troubleshoot issues
Strong
Score impact: 100/100
The candidate's experience in validating and troubleshooting models supports this requirement.
  • Revalidated, stress tested, documented and remediated several derivative pricing models
Proactive mindset with structured communication
Strong
Score impact: 100/100
The candidate's roles involved structured communication and proactive engagement.
  • Presented the results and ambiguities to them via bi-weekly status reports
Ability to collaborate across diverse functions
Strong
Score impact: 100/100
The candidate has collaborated with various teams in past roles.
  • Participated in regular briefings with both the Trading Desk and the Risk Management
Discipline in testing, documentation and data quality assurance
Weak
Score impact: 100/100
The evidence is indirect and not strongly emphasized across roles.
  • Co-developed, tested, documented and maintained the CI/CD and build system
Recommendations
Include more details on testing, documentation, and data quality assurance.
High
Section: summaries
Score impact: +5
To address the missing evidence for a critical requirement.
Specify the target role in personal details.
Medium
Section: personalDetails
Score impact: +2
To improve contact readiness and clarity for recruiters.
Scoring notes
  • The analysis is conservative due to missing explicit evidence for some requirements.