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Cyamos2/README.md

Hi, I’m Christopher Amos 👋

I’m a Software Engineer with a growing focus on Machine Learning and Data Science, blending full-stack development skills with analytical and predictive modeling capabilities. My background includes building production-grade applications, creating data-driven solutions, and optimizing workflows through automation.

💡 Mission: Use code, data, and AI to create efficient, impactful, and user-friendly solutions.

💻 Technical Skill Set

Programming & Development: Python, JavaScript, HTML/CSS, SQL, UI/UX Design, Agile Collaboration Machine Learning & Data Science: scikit-learn, pandas, NumPy, data preprocessing, feature engineering, regression/classification models, exploratory data analysis (EDA) Data Visualization & BI: Matplotlib, Seaborn, Tableau, Power BI Databases: MySQL, PostgreSQL, SQLite Tools & Platforms: GitHub, AWS (Athena, Lambda, Glue), Excel (Advanced), Jira Additional Skills: API integration, QA testing, cross-browser UI validation, test automation

🚀 Current Focus • Building end-to-end ML workflows from data collection → model training → deployment • Leveraging SQL + Python for performance tuning and data analytics • Enhancing UI/UX for better human–AI interaction in applications

🛠 Featured Projects • Titanic Survival Prediction (ML) – Used Python, pandas, scikit-learn, and logistic regression to build a predictive model for Titanic passenger survival. Included feature engineering, missing value handling, and model evaluation. • DevPrep: Interview Prep Tracker – Full-stack app (Flask + JS) that tracks coding interview practice and visualizes progress • System Log Analyzer – Python CLI tool that validates logs, detects anomalies, and generates QA reports • Guinea Pig Info Site – Rebuilt from scratch in HTML, CSS, and JavaScript with planned animations, adoption database, and “Guinea Pig of the Wheek” feature • Data Cleaning & Visualization Scripts – Python-based ETL scripts automating data preprocessing and generating interactive dashboards

📊 Data & ML Interests • Predictive modeling for business intelligence • Process automation using AI/ML • Supply chain optimization with data analytics • Natural language processing (NLP) for support automation

📫 Let’s Connect • LinkedIn: www.linkedin.com/in/christopher-amos-05a873158 • GitHub: github.com/cyamos2 • Portfolio: (coming soon)

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  1. job-scam-detector job-scam-detector Public

    React Native + Expo app to detect scam job postings by analyzing job text, links, and screenshots.

    TypeScript 1

  2. scribble-stadium-fe scribble-stadium-fe Public

    Forked from BloomTech-Labs/scribble-stadium-fe

    JavaScript

  3. ui-component-sandbox ui-component-sandbox Public

    HTML

  4. titanic-ml-analysis titanic-ml-analysis Public

    Notebook analyzing Titanic passenger data using logistic regression and random forest classifiers.

    Jupyter Notebook

  5. Guinea-Pig-Info-Site Guinea-Pig-Info-Site Public

    JavaScript

  6. login-activity-report login-activity-report Public

    Python script that scans login logs, detects suspicious activity, and generates a summary report.

    Python