Simon Stenelid
Simon Stenelid

Hey, I'm Simon.
This is what I have built.

Case Study
Case Study 1
Case Study 2
Project
Case Study
Case Study 3

Experience

  • World-leading flight-tech platform serving 40M+ users across 75+ markets (GotoGate, Mytrip, FlightNetwork)
  • Conducted large-scale data analysis in Python (Pandas) on billions of flight search events, uncovering performance bottlenecks and anomalous traffic patterns across platforms.
  • Extensively used SQL to extract, join, and structure complex datasets from multiple sources, enabling scalable and reproducible analysis.
  • Built analytical frameworks and detection logic to identify and classify automated bot traffic, substantially improving data quality and search signal integrity.
  • Drove data-backed initiatives that significantly reduced bot-driven search volume, leading to major reductions in Look-to-Book (L2B) ratios and booking-related costs.
  • Designed, built, and maintained Looker dashboards and data models to monitor flight search performance, traffic quality, and key KPIs, used company-wide by product, engineering, and commercial teams.
  • Created clear, stakeholder-facing visualizations translating complex behavioral and performance metrics into actionable insights.
  • Collaborated cross-functionally with data scientists, engineers, and product teams to improve data accuracy, scalability, and reporting reliability.
  • Experimented with AI-driven and agentic approaches to automate analysis, monitoring, and optimization of flight search workflows.
  • Contributed analytical insights toward machine learning–based frameworks aimed at improving search efficiency and operational cost control.
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  • Started a furniture restoration business
  • Bought in old & distressed furniture, and renovated them from the ground up
  • Grew a social media following & solid customer base
  • All from my parent's basement in Stockholm
  • Managed daily sales operations, processed transactions, and ensured accurate cash handling and inventory reconciliation.
  • Analyzed customer purchasing behavior to optimize product recommendations and improve in-store marketing strategies.
  • Collaborated with management to refine store layouts, enhancing customer flow and increasing product visibility.
  • Achieved a 16% year-over-year sales increase through improved merchandising and customer engagement initiatives.
  • Awarded Employee of the Year (2021) for exceptional performance in strengthening customer insights and streamlining operational processes.
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  • Developed efficient delivery routines by planning routes and organizing orders to ensure on-time service.
  • Managed daily restaurant maintenance, including cleaning, minor repairs, and table preparation to uphold quality standards.
  • Led a team of drivers and restaurant staff during shifts, coordinating deliveries and ensuring accuracy in every order.
  • Promoted to Team Leader for demonstrating reliability, attention to detail, and effective coordination under pressure.
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Built an e-commerce business that sold an UV-sanitizer box for phones, together with 3 other partners.

4 week summer internship at one of Sweden's largest property management companies, working with operational and smaller renovations related to shopping malls and office spaces.

Latest writing

All writing

This thesis seeks to investigate the determinants of cross-border mergers and acquisitions (CBAs) within the technology, media and telecommunications (TMT) sector on a global level. The aim is to build on the resource-based view (RBV) and adjusted gravity theory of trade - the study analyzes how country- and industry-specific factors influence the likelihood, and volume of cross-border M&A.

This paper seeks to investigate the degree of mispricing in the Black-Scholes call options pricing model. The aim is to research if the degree of mispricing in the Black-Scholes model has increased or decreased, from a historical perspective. Our hypothesis is that with a large increase in option trading volume and a larger participation of retail investors, might have an impact on the option pricing. Thus, indirectly affecting the Black-Scholes pricing model - which we seek to investigate, if such changes have led to less efficiency in the model today.