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Michael Tsopanoglou

Services

01

01. Data Science & Analytics

• Exploratory Data Analysis
• Data Visualization
• Python Libraries
• Microsoft Excel
• Microsoft Power BI
• Tableau

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02. Computer Science

• Python Programming
• R Programming
• SQL Programming
• IT Experience
• C Experience

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03. Machine Learning

• Predictive Models
• Classification
• Clustering
• Regression

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04. Sports Analytics

• Certified Sports Analytics Professional
• Football Analytics
• Basketball Analytics
• Advanced Match & Player Reports
• Predictive Models on Sports

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05. Mathematics

• Statistics • Hypothesis Testing
• Simulation
• Regression Analysis
• Calculus
• Linear Algebra
• Probabilities

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06. Economics & Business

• Sales Analytics
• Micro & Macroeconomics
• Dashboards
• Social Media
• Marketing

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language

02
Greek Native
English Proficient

Skills

03
Python
R
SQL
Tableau
Power BI
Microsoft Excel

Reviews

04
user

Platon Tinios

I know Mr.Tsopanoglou reasonably well, given that I taught him for four courses at Piraeus University: compulsory first year Macroeconomics (pass grade 10/10), second-year Social Insurance (10/10), third year Insurance Economics (10/10) and final year Economics of Ageing (10/10) . These courses deal with economic concepts and real world applications and are graded mostly by essay questions testing comprehension, breadth of understanding and the ability to build a reasoned argument. His excellent performance in those subjects testifies to his application and is partly due to the submission of interesting optional term papers. His grades place him at the top 15% or so of our Department, which in any case is known for marking conservatively. An important point to note is that fewer than 10% of our students manage to complete the course in the minimum four years (he is likely to complete the degree by February 2025 if not earlier). It is obvious from the above that Mr.Tsopanoglou is a person of ability. This quality will serve him well in a master’s course of his own choosing, while he is likely to respond well to the challenges of studying in English. In conclusion, I have no reservations to recommend him.

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Education

05
  • 01. BSc | Statistics

    2020-2024

    Michigan University

  • 02. Sports Analytics Course

    2023
    Certificate

    Workearly | Certified by Credly

  • 03. ECPE English Proficiency

    2017

    University of Piraeus

Experience

06
  • 01. Data Analyst | BMW Group

    2025

    Designed and deployed dashboards to monitor KPIs, dealer performance, and daily results. Automated daily reporting processes (RPA) with Python, ensuring accuracy and reducing manual workload. Developed automated data driven email systems to deliver daily dealer performance updates. Built user friendly GUI applications to streamline data processes for the wider team. Managed and processed large datasets, including debit/credit notes and financial reporting. Created automated workflows for quarterly bonus calculations and reporting.

  • 02. Data Analyst | TheyScored

    2024-2025

    Developed football simulation models using advanced statistical techniques, to simulate entire football tournaments, including playoff systems and knockout stages, providing probability distributions for team progression and championship likelihood. Developed insightful visualizations and dashboards using Power BI, Tableau, and Python libraries such as Matplotlib and Seaborn, while also highlighting key metrics and trends. Conducted exploratory data analysis (EDA) to uncover interesting insights.

  • 03. Data Collector | IMG Arena

    2023 - Present

    Completed comprehensive training on the rules and usage of the company's software and hardware. Demonstrated attention to detail and accuracy in inserting Football and Basketball data into the system after attending various sport matches. Attended several matches of Top Tier Leagues, such as Greek Super League, Basketball Euroleague, Eurocup.

  • 04. Data Scientist | Freelancing

    2022 - Present

    I have completed multiple projects, delivering data-driven solutions for various clients across different industries and applying advanced analytical and machine learning techniques to drive insights, improve processes, and support decision-making. My work spans areas such as predictive modeling, data visualization, and statistical analysis.

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