Hi! I'm Charles — a data science enthusiast pivoting into the field with hands-on experience in:
- 🧮 Data Analysis: Excel, SQL, pandas, matplotlib
- 🤖 Machine Learning: scikit-learn, TensorFlow, neural networks
- 📊 Visualization & Reporting: Jupyter Notebooks, Python plots
- 🧰 Tools: GitHub, Google Colab, Notion, VS Code
I'm currently building my portfolio and actively looking for internships, freelance gigs, or mentorship opportunities in real-world data projects.
Project | Description | Tools Used | Link |
---|---|---|---|
🧼 Heart Disease Prediction (Classification) | Built an end-to-end model to predict heart disease using logistic regression, involving more than 100,000 patient records from the UCI repository. | Python, pandas, scikit-learn, matplotlib | Heart Disease Classification Repo |
📈 Bull-Dozer Price Prediction (Time Series) | Forecasted potential bulldozer prices using linear Regression and the Random Forest Regressor. Compared models and visualized results. | Python, statsmodels, TensorFlow, matplotlib | Bull-Dozer Price Prediction Repo |
🧠 Dog Breed Prediction (TensorFlow) | Submitted my solution to the Kaggle Competitions on Dog Breed Prediction Models using Tensorflow 2.0, Keras and MobileNet V2 Classification Model | Python, Google Colabs, Tensorflow, Keras, Numpy, Pandas, Matplotlib | Kaggle Submission |
📊 Excel Dashboards (Sales KPIs) | Created interactive dashboards for sales and inventory KPIs. | Excel, Power Query, Pivot Tables | Link or Screenshot |
- Master Python + SQL for data
- Build 5 portfolio projects
- Learn Power BI / Tableau
- Contribute to an open-source data project
- Land my first freelance or internship gig
- LinkedIn: [https://www.linkedin.com/in/charles-kyalo-mulinga/]
- Email: [mulingacharles@gmail.com]
- Kaggle: [https://www.kaggle.com/charlesmulinga]
- Portfolio: [https://mulinga-personal-profile.netlify.app/]