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Epaphras T. — Junior Data Scientist from France

Epaphras T.

Junior Data Scientist

France 1-2 years
Open to offersNew to Platform
Languages
FrenchEnglishRussian
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About

Triomphe G. is a dedicated Junior Data Scientist with a strong foundation in both AI and Big Data. As a Master's student in Artificial Intelligence and Big Data, and holding a Bachelor's degree in Web Programming and Development, he effectively combines software engineering and data science expertise to develop data-driven solutions. Proficient in Python and SQL, Triomphe excels in machine learning workflows, enhancing his hands-on experience in data analysis, predictive modeling, and governance. He has contributed to customer churn prediction projects utilizing classification models and has crafted interactive dashboards through advanced SQL and data visualization tools. Well-versed in data governance and quality management frameworks, his academic research proposes tailored governance frameworks for AI readiness. Fluent in French and proficient in English, Triomphe is poised to contribute to data-driven teams, targeting roles that further engage his skills in machine learning and big data.

Experience

  • Bachelor's Degree in Web Programming and Development

    null · 2023 — 2023
    Focused on full-stack development including HTML, CSS, JavaScript, PHP, and MySQL. Gained knowledge in relational database architecture and design, and worked within Agile project management frameworks using version control with Git.
  • Master's Degree in Artificial Intelligence and Big Data

    null
    Engaged in studies covering topics such as Supervised & Unsupervised Machine Learning, Deep Learning fundamentals, and Big Data Technologies. Explored Data Engineering and Data Pipelines, and learned Advanced Statistical Modeling & Predictive Analytics along with Data Governance & AI Ethics.
  • Customer Churn Prediction

    Academic Project
    Conducted exploratory data analysis on a dataset comprising over 10,000 customers utilizing Pandas and Seaborn. Addressed missing values, performed categorical encoding, and applied feature scaling. Developed and compared classification models such as Logistic Regression and Random Forest, evaluating their performance based on Accuracy, Precision, Recall, and F1-Score.
  • Sales Analysis & Interactive Dashboard

    Personal Project
    Created a relational MySQL database schema for a hypothetical e-commerce platform, writing complex SQL queries that included aggregations, window functions, and subqueries. Analyzed data using Python with Pandas and Matplotlib, producing temporal and geographic sales visualizations.
  • Data Governance & Quality Research

    Academic Research
    Performed a data quality audit focusing on completeness, consistency, and uniqueness of an organizational dataset. Developed a governance framework designed for AI readiness and drafted policies for metadata management and compliance.
  • Responsive Web Application Development

    Bachelor's Project
    Designed and implemented dynamic user interfaces, integrating MySQL databases while managing user sessions.

Skills & Expertise

Education

  • Bachelor's Degree in Web Programming and Development
    Institution not specified · — — 2023
  • Master's Degree in Artificial Intelligence and Big Data
    Institution not specified