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fluellen/README.md

Hey there, I'm Marcell! 👋

I'm a Data Scientist and AI/ML enthusiast 🤖 with a knack for turning data into impactful solutions. I love diving into data preparation, modeling, analysis, and visualization. My background also includes master data management, retail forecasting, e-commerce, and business process optimization.

class DataExplorer:
    def __init__(self):
        self.name = "Marcell Méri" 
        self.passion = ["Data Science", "AI/ML", "Business Optimization", "Data-driven Solutions"] 
        self.current_focus = "Building awesome forecasting models & AI tools"

    def whats_new(self):
        print("Currently a Demand Forecast Data Scientist at SymphonyAI, helping clients optimize their supply chains! 🚚 Also spearheading a GenAI initiative. ✨") # 

me = DataExplorer()
me.whats_new()

A Bit About My Journey 🗺️

  • Currently: As a Demand Forecast Data Scientist at SymphonyAI, I'm designing and building data pipelines for top-notch operational forecasts. I also get to advise clients on AI-driven strategies.

  • Previously:

    • Sony Europe (Junior Data Analyst, Aug 2023 - Nov 2023): Streamlined data processes and built dashboards to boost customer experience and cut costs. I also ensured master data was accurate using SQL and ETL.

    • Vision Healthcare, Sensilab (Webstore Specialist, Jun 2022 - Aug 2023): Managed a large webstore network across 20 European markets, handled digital inventory, and used HTML/CSS to make shopping experiences better.

    • Vision Healthcare, Sensilab (Country Specialist & Online Editor, Nov 2019 - May 2022): Localized marketing campaigns and crafted content for local audiences, always keeping an eye on metrics to maximize ROI.

School & Skills 📚💡

  • I'm currently leveling up with a Master's degree in Business Informatics from the University of Ljubljana (Oct 2023 - Present).

  • I also hold a Bachelor's in Economics and Business from the same university (Oct 2019 - Aug 2023), where I even got an award for academic excellence! 🏆

  • My Toolkit Includes:

    • Coding & ML: Python, R

    • Data & DevOps: Git, Airflow, Docker, Kubernetes, Jenkins, Prometheus, Grafana, Bash, SQL

    • Cloud: AWS, Azure, BigQuery

    • BI Tools: Tableau, Power BI, Looker

    • Business Platforms: SAP, Salesforce, MS Dynamics 365

    • Collaboration: JIRA, Confluence, Slack, Asana

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