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Here you’ll find selected projects and articles from my work in ERP, analytics, AI and business systems consulting.
Some are real client projects, others are student and research projects that show how I work.


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


SPSS Data Analysis
The dataset for this exercise (males.xlsx) contains data for young working males in the USA with some professional and personal characteristics. Please only use data for the year 1987. We want to explain the log wages from the other variables using the following model: Logwage ᵢ = β₁ + β₂ school + β₃ exper ᵢ + β₄ union ᵢ + β₅ mar ᵢ + β₆ black ᵢ + β₇ hisp ᵢ + εᵢ We assume that all ε ᵢ and all explanatory variables are independent and that ε ᵢ are independently distributed w


Exploring the Future: Insights from the 6G Technology Seminar
Attending the 6G Technology Seminar hosted by Linköping Science Park in collaboration with Switch to Sweden was an eye-opening...


Data Analysis Using R Programming
The dataset heartdata.csv contains observations on the percentage of people biking to work each day, the percentage of people smoking, and the percentage of people with heart disease in 500 counties. We want to explain heart disease using biking and smoking rates using the following model: Heart. Disease ᵢ = β₁ + β₂ bikingᵢ + β₃ smokingᵢ + ϵᵢ We assume that all ϵᵢ and all explanatory variables are independent and that ϵᵢ are independently distributed with expectation 0 and va


SAS Data Analysis
Part I: Descriptive Statistics 1. Using the data set IRIS in the SASHELP library, generate summary statistics for the variables PetalLength and PetalWidth. Include the mean, standard deviation, median, the number of non-missing observations, and the number of missing observations. Then Make a histogram of the variable _PetalLength and describe its distribution. proc means data=SASHELP.IRIS chartype mean std median n nmiss vardef=df qmethod=os; var PetalLength PetalWidth; r


Digital Solutions for Informal Caregiver
Attending LIU Innovation was a transformative experience that illuminated both the dynamic nature of modern innovation and the collaborative spirit that drives it forward. From the moment I arrived, the atmosphere was charged with an infectious energy, a fusion of creativity, research, and entrepreneurial passion that set the tone for an event deeply rooted in forward-thinking ideas and practical achievements. The innovation sessions were meticulously organized, offering a bl
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