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Claudia M. — Mid-Level Data Analyst from Argentina

Claudia M.

Mid-Level Data Analyst

Argentina Less than 1 year
Open to offersNew to Platform
Languages
SpanishItalian
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About

Claudia M. is a seasoned Data Science Specialist from Córdoba, Argentina, with a robust analytical foundation focused on the financial sector and trading. Claudia excels in transforming complex data into strategic solutions by leveraging her technical prowess in Python, SQL, and the development of Machine Learning models. She is proficient in creating advanced dashboards using Power BI to visualize business insights. Her practical approach integrates statistical rigor with a results-oriented mindset. Claudia's recent projects include developing a predictive churn model for a financial institution using XGBoost and Stacking models, and crafting a coffee quality analysis system employing K-Means Clustering and PCA for quality segmentation. She has also contributed to SaaS B2B UX/UI design for StockPro in Peru, linking the user experience to data visualization for retail environments. Her educational background includes Data Science studies at Soy Henry-Bootcamp, complemented by courses in Financial Analysis, Data Visualization, and UX/UI Design.

Experience

  • Data Scientist

    FinanceGuard · 2026 — 2026
    Developed a predictive model to identify customer churn in a financial institution using a dataset of 50,000 records. Conducted an extensive Exploratory Data Analysis (EDA) and data cleaning to determine critical behavioral variables. Implemented and assessed ensemble models (XGBoost and Stacking) to improve detection accuracy. Identified key abandonment patterns, enabling data-driven retention strategy proposals. Technical stack used includes Python, Scikit-Learn, XGBoost, and Pandas.
  • Data Analyst

    Coffee Quality & Insights · 2026 — 2026
    Created an analysis and recommendation system focused on coffee quality utilizing the Coffee Quality Institute dataset. Processed complex data by eliminating noise and transforming time variables for historical analysis. Employed unsupervised learning techniques such as K-Means Clustering and PCA to segment quality profiles. Developed a professional dashboard in Power BI for geographic distribution visualization and score metrics. The technical stack included Python, Power BI, K-Means, Matplotlib, and SQL.
  • CX/UX Designer

    StockPro Perú · 2026 — 2026
    Focused on the design of a SaaS platform for intelligent inventory and sales management in retail stores in Peru. Designed user experience (UX) and interface (UI), emphasizing the visualization of complex data through intuitive dashboards. Collaborated closely with Frontend, Backend, and Data teams to ensure design and technical implementation consistency. Defined navigation flows to centralize inventories, enhancing accessibility for non-technical users. The technical stack utilized consisted of Figma, Tailwind CSS, and Vue.js.

Skills & Expertise

Education

  • Data Science
    Soy Henry-Bootcamp · 2025 — 2026
  • Trading and Financial Markets
    Universidad Tecnológica Nacional (UTN) · 2024 — Present
  • Financial Analysis for Companies
    Instituto Saber · — — 2020
  • Optics and Contactology
    Instituto Simon Bolivar · 2010 — 2013

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