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cybereptilia/README.md

Rosaliz Garcia / cybereptilia

Aspiring Machine Learning Engineer, currently building expertise through data analytics and engineering projects.

Python Scikit-Learn TensorFlow Pandas Matplotlib SQL

About Me

Recent CS grad (Data Science concentration) seeking Data Analyst / Junior Data Engineer roles, building toward a long-term goal in machine learning.

Featured Engineering Projects

Healthcare Claims Data Pipeline

End-to-end data pipeline that generates synthetic healthcare claims data, validates records, loads them into PostgreSQL, and produces analytics-ready reports.

Concepts

  • ETL pipeline design
  • SQL analytics views
  • data validation & reject handling
  • indexing and query optimization
  • automated pipeline execution

https://github.com/cybereptilia/healthcare-claims-pipeline

Predictive Maintenance SQL Performance Study

Time-series database experiment (~600k rows) demonstrating PostgreSQL query planner behavior and index selectivity.

Concepts

  • composite index design
  • cost-based query optimization
  • sequential vs index scan behavior
  • EXPLAIN ANALYZE benchmarking

https://github.com/cybereptilia/predictive-maintenance-sql

Current Work

  • MedTracker Frontend — React + Tailwind integration for Front-end
  • ML Study Series — Implementing algorithms from Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow
  • Data Visualization Projects — Interactive dashboards using Matplotlib, Seaborn, and Plotly

Self-Study & Practice Projects

Iris Project — From-Scratch Classifier

Cross Entropy Loss
Epoch Loss Convergence
Validation Accuracy

Manual Softmax classifier using gradient descent and cross-entropy optimization achieving 96.67% accuracy.

Real Estate Price Prediction — Regression Pipeline

Feature Correlation Heatmap

Complete regression pipeline including EDA, feature engineering, model training, and evaluation.

Evaluation Metrics — MNIST Digit Classifier

Precision vs Recall Curve
Precision Recall vs Threshold

Binary classification evaluation including precision-recall tradeoffs and ROC analysis (AUC ≈ 0.99).

Toolchain

Languages
Python • SQL • JavaScript • C++ • Java

Libraries & ML Frameworks
NumPy • Pandas • Scikit-Learn • TensorFlow • Keras • Matplotlib • Seaborn

Data Tools
PostgreSQL • JupyterLab • Google Colab • Excel

Workflow
Git • GitHub • Virtual Environments

Operating Systems
Rocky Linux • Ubuntu • Windows

Popular repositories Loading

  1. real-estate-ml real-estate-ml Public

    End-to-end regression pipeline: EDA, feature engineering, Random Forest, GridSearchCV - Hands-On ML exercise.

    Jupyter Notebook 1

  2. Chapter-3-Evaluation-Metrics Chapter-3-Evaluation-Metrics Public

    Exercises from Chapter 3 of Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow - Binary classification, precision/recall, ROC/AUC evaluation.

    Jupyter Notebook 1

  3. Medicine-Tracker-Front Medicine-Tracker-Front Public

    Responsive medication tracking web app - React + Tailwind. CS capstone; frontend and QA role.

    JavaScript

  4. cybereptilia cybereptilia Public

  5. iris_project iris_project Public

    From-scratch Softmax classifier using gradient descent and cross-entropy - Hands-On ML exercise.

    Jupyter Notebook

  6. predictive-maintenance-sql predictive-maintenance-sql Public

    PostgreSQL query planner study on ~600k time-series rows - composite indexing, selectivity, and EXPLAIN ANALYZE.

    Python