About me

I study HA.it at CBS and work at the intersection of business administration and information technology. The programme combines courses in IT/technology, economics/mathematics and organisation/leadership, which fits my profile: analytical, business-oriented and practical in execution.

It gives me a broad profile where I can work with strategy, financial assessments, data and systems understanding within the same project.

Frederik Ludvig Abel Tiklev
HA.it student · CBS · Focus on economics, data, strategy and systems

I am interested in data-driven decision-making, digital transformation and process optimisation. In practice, this means I work with business analysis, financial understanding and technical solutions so ideas can be turned into concrete results.

Alongside my studies, I have experience with leadership, coordination and operations in high-tempo environments, which has strengthened my ability to prioritise, communicate clearly and implement improvements in practice. My approach is curious, structured and action-oriented.

Competencies

AI workflows Corporate Finance Micro & macroeconomics Organisation & leadership IT strategy Business Intelligence Excel SQL Node.js / Express JavaScript Data analysis Project management Process optimisation
1
Studies

HA.it at Copenhagen Business School

Building a combined foundation in IT, business economics and organisation through courses such as micro/macro economics, corporate finance, systems development, IT strategy and data analysis.

2
Work experience

Leadership, operations and process improvement in practice

I have worked with team leadership, training, sales optimisation and coordination in operational environments, which has given me strong execution and practical overview.

3
CBS projects

Business analysis and equity platform prototype

I have worked with interviews, workflow mapping and automation recommendations, and developed a prototype for an equity/portfolio platform in Node.js/Express.

4
Mindset

Pragmatic and iterative way of working

I prioritise clear goals, fast learning and stable improvements over overengineering.

How I work

Principles that combine business perspective, analysis and practical delivery.

Clear problem definition

I start by defining the goal and success criteria so the solution is relevant from day one.

Fast prototyping

I build early versions quickly to test ideas instead of spending too long in theory.

Data for decisions

I use analysis, BI logic and observations to prioritise improvements and avoid guesswork.

Business + technology in the same language

I focus on explaining financial, organisational and technical consequences clearly to support collaboration and implementation.