CQ
Christian Quidel Data Scientist Trainee
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Official Curriculum Vitae

ATS-Optimized single-page version for International Hiring Managers.

Christian Quidel

Buenos Aires, Argentina (Open to Remote | UTC-3) • quidelchristian@gmail.com
linkedin.com/in/quidelchristian • github.com/reddjedet • @CDanqui

Professional Summary

Data Scientist Trainee with practical project experience in end-to-end Machine Learning lifecycles, exploratory data analysis, and multi-service cloud deployment on Oracle Cloud Infrastructure (OCI). Specialized in Python (Pandas, Scikit-learn) for NLP text classification, predictive modeling, and feature engineering. Experienced in cross-language MLOps, serializing Scikit-learn pipelines to ONNX for native sub-millisecond backend inference. Proven technical leadership in agile hackathon environments with a strong background in analytical problem-solving and containerized deployments.

Technical Skills

  • Programming & Querying: Python (Pandas, NumPy, Matplotlib, Seaborn), SQL (MySQL - Queries, Joins, Aggregations), Bash, Git/GitHub (Branching, PRs, Workflow Coordination)
  • Machine Learning & NLP: Scikit-Learn (TF-IDF Vectorization, Logistic Regression, Decision Trees), Feature Engineering, Data Preprocessing, EDA, GridSearchCV, Cross-Validation, Evaluation Metrics (ROC-AUC, Precision, Recall, F1-Score, RMSE)
  • MLOps, Cloud & Tools: ONNX (skl2onnx), Docker, Docker Compose, Oracle Cloud Infrastructure (OCI Compute), Jupyter Lab, VS Code, REST API Contracts
  • Languages & Methodologies: Agile/Scrum Sprint Coordination, Technical Documentation, English (B2 - Professional Working Proficiency), Spanish (Native)

Projects & Hackathons

FinanceAI – Intelligent Financial Diagnostic & NLP Platform | Data Scientist & Deployment Lead Aug 2026
Technologies: Python, Scikit-Learn, NLP (TF-IDF), ONNX, Docker Compose, MySQL, Spring Boot, Oracle Cloud (OCI)
  • Led sprint deliverables and deployment architecture in a cross-functional team during the Oracle Next Education (ONE) Hackathon.
  • Engineered an NLP transaction classifier with Scikit-learn (TF-IDF + Linear Classifier) categorizing 240,000+ records across 10 categories evaluated via Macro & Weighted F1-Scores.
  • Prevented data leakage via temporal train/test validation and optimized hyperparameters using GridSearchCV across 36 candidates (3-fold cross-validation).
  • Developed a multivariate Decision Tree diagnostic model evaluating user financial risk status ('Healthy', 'In Observation', 'At Risk').
  • Serialized ML pipelines to ONNX format (skl2onnx), enabling native sub-millisecond inference inside a Java 17 / Spring Boot backend service.
  • Orchestrated 4 microservices with Docker Compose (Vue 3, Spring Boot, MySQL, Jupyter) and deployed the complete stack to OCI Compute.
Predictive Modeling & Tabular Data Analytics Practice | Independent Data Practitioner 2026
Technologies: Python, Pandas, Scikit-Learn, Matplotlib, Seaborn, MySQL, Jupyter
  • Executed comprehensive exploratory data analysis (EDA) across tabular transaction datasets, detecting outliers via IQR and analyzing multivariate feature distributions.
  • Built automated preprocessing pipelines handling missing value imputation, StandardScaler numerical normalization, and One-Hot Encoding for categorical attributes.
  • Evaluated classification and regression baselines (Logistic Regression, Decision Trees), analyzing trade-offs using Confusion Matrices, ROC-AUC, F1-Score, and RMSE.
  • Documented findings, visual insights, and reproducible code workflows in structured Jupyter notebooks adhering to clean coding standards.

Experience & Leadership

Academic Hackathons & Open Source Projects | Technical Contributor & Team Lead 2026 – Present
Location: Remote
  • Coordinated project milestones, task delegation, and code integration across Frontend, Backend, and Data Science peers in agile sprints.
  • Authored technical documentation and schema contracts (metadata.json) ensuring seamless integration between ML models and software applications.
  • Guided team members on Git/GitHub version control best practices (branching, pull requests, conflict resolution) for multi-service repositories.

Education & Certifications

Oracle Next Education (ONE) – in partnership with Alura Latam 2025 – 2026
Specialized Program in Data Science & Software Engineering (Python, Scikit-Learn, MySQL, Docker, OCI)
• Data Science Specialization – Oracle Next Education & Alura Latam (2026)
• Machine Learning with Scikit-Learn & Python – Alura Latam (2026)