Leonidas EmmanLE
Open to opportunities

Leonidas Emman

@leonidasemman

Mathematics graduate and data analyst with strong analytical skills.

Greece

What I'm looking for

I am looking for opportunities that allow me to apply my analytical skills in a collaborative environment, focusing on data-driven decision-making and continuous learning.

I am a Mathematics graduate with a solid foundation in statistical analysis and data modeling. My academic background has equipped me with the skills necessary to tackle complex data challenges. I have a passion for problem-solving and have honed my abilities through hands-on experience in data analytics and predictive modeling.

Throughout my studies at Aristotle University of Thessaloniki, I engaged in relevant coursework that deepened my understanding of probability theory, statistics, and data analysis. I have also self-taught programming and machine learning, allowing me to develop practical skills that I applied in various personal projects. One of my notable projects involved analyzing NBA statistics, where I uncovered key trends and significant player performance metrics.

Additionally, I developed a credit card fraud detection model that successfully prevented over $2.4 million in fraudulent transactions. My technical skills include proficiency in Python, R, SQL, and various machine learning techniques, which I continuously strive to enhance through certifications and practical applications.

Experience

Work history, roles, and key accomplishments

SE
Current

Data Analyst

Self-Employed

Jul 2023 - Nov 2023 (4 months)

Mathematics graduate with expertise in statistical analysis and data modeling. Developed projects including a basketball statistics analysis and a credit card fraud detection model, utilizing machine learning techniques to achieve significant cost savings.

Education

Degrees, certifications, and relevant coursework

Aristotle University of Thessaloniki logoAT

Aristotle University of Thessaloniki

Bachelor of Science, Mathematics

2019 - 2023

Bachelor of Science (B.S.) in Mathematics with a strong foundation in statistical analysis, data modeling, and problem-solving. Relevant coursework included Probability Theory I-II, Statistics, Data Analysis, and Statistical Learning I-II.

Tech stack

Software and tools used professionally

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