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CraigChiambiro/README.md

πŸ‘‹ Hi, I'm Craig Chiambiro

πŸ’» Data Analyst | Data Scientist | Software Developer

I am a passionate Information Technology graduate specializing in Data Science, with a strong interest in transforming data into meaningful insights and building practical software solutions. I enjoy solving real-world problems through data analytics, machine learning, business intelligence, and modern web development.

πŸš€ Areas of Interest

  • πŸ“Š Data Analytics
  • πŸ€– Machine Learning
  • πŸ’» Software Development
  • πŸš€ SaaS Applications
  • πŸ“ˆ Business Intelligence

πŸ› οΈ Technical Skills

Programming Languages

Python SQL JavaScript TypeScript

Data Science & Analytics

Pandas NumPy Power BI Jupyter

Development Tools

Git GitHub React Next.js


πŸš€ Featured Projects

πŸ“Š Retail Sales Intelligence Dashboard

Analyze retail sales performance using Python, Pandas, Jupyter Notebook, and Power BI.

πŸ”— https://github.com/CraigChiambiro/FUTURE_DS_01


πŸ‘₯ Customer Retention & Churn Analysis

Business intelligence dashboard analyzing customer churn and retention with actionable insights.

πŸ”— https://github.com/CraigChiambiro/FUTURE_DS_02


πŸ“ˆ Marketing Funnel & Conversion Analysis

Marketing analytics project focused on customer conversion, campaign performance, and funnel optimization.

πŸ”— https://github.com/CraigChiambiro/FUTURE_DS_03


πŸ€– Machine Learning Portfolio

A collection of machine learning projects including:

  • Loan Prediction
  • Fraud Detection
  • Bank Customer Churn Prediction
  • House Price Prediction

πŸ”— https://github.com/CraigChiambiro


πŸ’» Software Development Projects

Building practical applications with modern technologies.

Projects include:

  • Daily Reset Productivity App
  • CoupleCheck (In Development)

Tech Stack:

React β€’ Next.js β€’ TypeScript β€’ Firebase β€’ Supabase


🐍 Contribution Graph

Snake animation


πŸ“« Connect With Me

LinkedIn
https://www.linkedin.com/in/craig-chiambiro-6b3394257


⭐ Always learning. Always building. Always improving.

Pinned Loading

  1. fraud-detection-system fraud-detection-system Public

    Machine Learning fraud detection system using Random Forest, Python, Streamlit, and Scikit-learn.

    Python 1

  2. Business-Intelligence-Dashboard Business-Intelligence-Dashboard Public

    Interactive Business Intelligence dashboard for retail sales analysis and forecasting using Python, Streamlit, Plotly, and Pandas.

    Python 1

  3. daily-reset-app daily-reset-app Public

    Modern productivity and daily planning application built with Next.js, React, TypeScript, and Supabase.

    TypeScript 1

  4. FUTURE_DS_01 FUTURE_DS_01 Public

    Retail Sales Intelligence Dashboard using Python, Pandas, Jupyter Notebook, and Power BI.

    Jupyter Notebook 1

  5. FUTURE_DS_02 FUTURE_DS_02 Public

    Customer Retention and Churn Analysis using Python, Pandas, Jupyter Notebook, and Power BI.

    Jupyter Notebook 1

  6. FUTURE_DS_03 FUTURE_DS_03 Public

    Marketing Funnel and Conversion Performance Analysis using Python, Pandas, Jupyter Notebook, and Power BI.

    Jupyter Notebook 1