top of page
Here you'll find selected projects and articles from my work in ERP, analytics, AI, and business analysis, spanning real client work, academic research, and independent projects across Europe and Asia.
Some are real client projects; others are academic and independent research projects that demonstrate my analytical approach and technical skills.


Volvo Group 2024 Financial Analysis: Key Insights & Strategic Recommendations
Comprehensive analysis of Volvo Group's 2024 financial performance reveals a 4.6% revenue decline to SEK 526.8B, yet maintains strong 12.1% operating margins. Explore key insights on market positioning, segment performance, geographic diversification, and strategic recommendations for future growth in commercial vehicles and construction equipment.


SQL / ETL: Insurance Claims Analysis Project
Objective: To analyze insurance claim data to gain insights and improve database performance. CRISP-DM Process: Business Understanding: Objective: Analyze insurance claim data for insights. Goals: Create a database schema, populate with sample data, analyze claims, optimize performance, and manage database security. Data Understanding: Data Sources: Insurance data including customers, policies, claims, and policy types. Initial Exploration: Unders


Coffee Shop Data Mining Analysis Report
Abstract This report presents a comprehensive data mining analysis of Stargazers Coffee Shop's transaction data using the CRISP-DM (Cross-Industry Standard Process for Data Mining) methodology. The analysis examines 14,517 transactions spanning from April 2024 to March 2025, focusing on customer behavior patterns, product performance, and revenue optimization opportunities. Key findings reveal that beverages dominate sales (74.6% of transactions), with Cold Brew and Iced Latt


From Data to Strategy: How I Discovered $28K in Hidden Revenue Using Power BI
SITUATION Business Challenge: A successful coffee shop with $113,050 annual revenue suspected they were leaving money on the table despite steady performance across 13,760 customer transactions. Context: Stable business with good customer base (52% new, 48% returning) Rich transaction data (27 dimensions) but no analytical framework Competitive market requiring data-driven optimization Need for executive-level insights and strategic recommendations TASK My Mission: Conduct


IT Strategy Analysis — Kymlinge Municipality (BPMN, UML, Process Modelling
Roll: IT-strateg och utredare Typ av projekt: Tvärfunktionell verksamhetsutveckling Utmaning Kymlinge kommun hade stora problem med ineffektiv ärendehantering, låg kundnöjdhet, dålig samverkan mellan kontor samt fragmenterade IT-system. Dessa utmaningar påverkade kommunens attraktivitet för företag. Lösning Genom djupgående verksamhetsanalys, problemkartläggning och modellering av informationsflöden, tog vår grupp fram två åtgärdsförslag. Efter en jämförande analys rekommen


Machine Learning Opportunities at Disney+
Situation Disney+ entered a competitive streaming market alongside major players like Netflix and Amazon Prime. With increasing demand for personalized experiences, the company needed to explore how Machine Learning (ML) and Big Data could support business growth, customer retention, and user satisfaction. Task My task was to assess Disney+’s business model and data environment, and recommend practical ML use cases aligned with strategic goals. I aimed to identify opportuniti


Business Analyst (Student Project): Titanic Survival Analysis
Used classification and clustering to analyze survival determinants Situation: Analyzed Titanic passenger data to identify survival factors and support risk assessment strategies for modern shipping. Task: Determine key attributes influencing survival outcomes and model risk based on class, gender, and age. Action: Cleaned and prepared nominal dataset; applied J48 decision tree (C4.5) and KMeans clustering in WEKA to uncover patterns; tuned decision tree parameters for mo


Business Analyst (Student Project): Bookstore Sales Optimization (market basket analysis)
Applied CRISP-DM and WEKA for market basket analysis Situation: A bookstore wanted to boost sales and improve customer satisfaction through better recommendations and store layout. The business needed insights into which book categories are often purchased together, to enable product bundling and more effective cross-selling. Task: As a business analyst student, my objective was to discover associations between book purchases using data mining techniques. The main question w


Big Data Analytics: Volvo Case Study
Situation: Volvo, aiming to improve its car sales strategy and market positioning, needed to understand how different customer segments behave, especially in relation to financing options and car model preferences. The task was to analyze the Volvo dataset using data mining techniques to support targeted marketing and decision-making. Task: As a business analyst student, my goal was to segment customers effectively, determine which financing options influenced car purchases,


Case Study: Amazon’s Sustainability & Web Sustainability Guidelines (WSG) Integration
Project Title Driving Sustainable Digital Practices at Amazon through Web Sustainability Guidelines Overview Company : Amazon Project Type : Sustainability Strategy & Web Optimization Role : Researcher & Strategy Developer Executive Summary Amazon, a global leader in technology and e-commerce, faces mounting pressure regarding its energy consumption, particularly in data centers. This project proposes the integration of Web Sustainability Guidelines (WSG) into Amazon’s digita
bottom of page