About Me
I'm Emil Karlsson, a Project Manager and Data Engineer specializing in data pipelines, analytics, project management, and team leadership.
I deliver impactful solutions by combining technical expertise with creativity and collaboration.
Outside work, I enjoy analyzing hockey stats, coaching on the rink, and exploring tech trends.
Experience
Technical Experience
Leadership Experience
Projects
Organizing and Automating AI-Driven Workflows with Notion
Discover how Notion can be used to organize AI prompts, automate workflows, and improve productivity in a new era of AI tools like ChatGPT, Copilot, and Gemini AI. Learn how to minimize errors and maximize efficiency by creating a structured approach to prompt management.
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Automating Hockey Analytics with AI, LLMs, and Mage AI
Learn how AI, LLMs, and Mage AI were integrated into a fully automated hockey analytics pipeline. From Scrapy-based web scraping to DuckDB transformations and interactive dashboards, this project leverages cutting-edge technology for data processing and visualization.
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Streamlining Multilingual Survey Analysis with AI and NLP
Explore how AI was used to process multilingual customer survey data in this project. By leveraging AI for translation, NLP for categorization, Databricks for processing, and Power BI for visualization, this initiative transformed raw survey files into actionable insights.
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Leveraging AI and LLMs for Customer Support Insights
Explore how ServiceNow data was transformed using Databricks, AI, and LLMs to create a more customer-oriented approach for analyzing and categorizing support tickets.
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Establishing a Unified Data Ecosystem to Drive Business Insights
Explore how a project to build a modern data ecosystem evolved into a robust and scalable framework for consolidating data from diverse sources, creating a comprehensive data lake, and delivering actionable insights using tools like Databricks, Power BI, and Python visualizations. Learn how this initiative transitioned from a concept to a transformative enterprise solution.
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Shifting to an Outside-In Approach for B2B Platform Investment Decisions
Discover how a shift from an inside-out to an outside-in customer-centric approach transformed decision-making for a new B2B platform. Using tools like Databricks, Power BI, and Python, this project collected and mapped user insights against company strategy to guide impactful investments.
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Building a Full Modern Data Stack for Just $10 a Month
Learn how to design and implement a fully functional modern data stack with scalable, efficient, and secure data processing capabilities—all for just $10 a month. Discover how to leverage cloud-native tools, serverless architecture, and open-source technologies to optimize data ingestion, storage, transformation, and visualization, ensuring data quality, automation, and high performance for small to medium-scale projects. Perfect for personal projects or those looking for an affordable yet powerful data solution.
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Customer-focused KPIs for better end-customer experience
Empower your team to track and manage Key Performance Indicators effortlessly with our solution. Customize KPIs, receive real-time alerts, and integrate data seamlessly for a comprehensive overview of performance metrics
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Hockey Insights Dashboard
A web-based tool for analyzing hockey performance at organizational, team, and individual levels using publicly available data. 🏒📊
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Enhancing Outsourced IT Operations through Data-Driven Proactivity
In this project, we harnessed historical data to identify patterns and proactively optimize efficiency, reduce downtime, and enhance overall service quality in outsourced IT operations. 🚀
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Quiz-Driven User Engagement and Conversion
Through extensive prototype testing, we uncovered valuable insights. Despite initial enthusiasm, user feedback revealed existing solutions meeting their needs more effectively.
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Simplified Digital Ticket Sales
We crafted a modern solution to streamline ticketing processes, making it easier and more efficient for businesses and events to manage ticket sales.
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Writing
Why Most Dashboards Fail Across Enterprises, Small Companies, and Sports Teams (and How to Fix Them)
Dashboards often fail to deliver results by focusing on appearance rather than solving real problems. Learn how to design effective dashboards that drive actionable insights and address key challenges.
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Mastering Rapid Prototyping: 6 Steps to Validate Ideas Efficiently
Involves defining the purpose, choosing the right prototyping method, developing the prototype, testing it, and iterating based on feedback. It’s an efficient way to validate product ideas and improve designs quickly.
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