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👋 Hi, I'm Weldon Kipkoech
Data Scientist | AI Explorer | Software Engineer
🚀 Blending data, code, and creativity to build smart, beautiful things.
About Me
I'm a passionate explorer in Artificial Intelligence, Machine Learning, and Data Analysis. My coding journey is a fusion of creativity and logic—mastering both the art of user experiences and the science of intelligent models.
- 🎨 Frontend Alchemist: Crafting immersive user interfaces with React, CSS, and HTML.
- 🤖 Machine Learning Maestro: Building models that learn, predict, and evolve.
- 💡 Innovator: Driven to push the boundaries with code and data.
🛠️ Skills
- 📊 Data Science & Analytics: Data wrangling, visualization, model building
- 🧠 Artificial Intelligence & ML: Predictive modeling, NLP, deep learning
- 💻 Software Engineering: Backend & frontend dev, automation, scripting
🌟 Projects
- Netflix Data Analysis
- Hotel Performance Analytics Dashboard
- Exploratory Titanic Dataset EDA
- HR Analytics Dashboard (Tableau)
- Regression Models (Linear & Multivariate
Netflix Data Analysis:
A comprehensive data science project exploring Netflix’s catalog, revealing insights about genres, trends, and more using Python, Pandas, and visualizations.
🌐 View on Kaggle
A comprehensive data science project exploring Netflix’s catalog, revealing insights about genres, trends, and more using Python, Pandas, and visualizations.
🌐 View on Kaggle
Hotel Performance Analytics Dashboard:
A visually rich dashboard analyzing hotel revenue, occupancy, performance metrics, and operational KPIs for multiple luxury properties. Includes insights on ADR, RevPAR, cancellations, and realization rates.
📊 View on Github | 💾 Download PBIX File
A visually rich dashboard analyzing hotel revenue, occupancy, performance metrics, and operational KPIs for multiple luxury properties. Includes insights on ADR, RevPAR, cancellations, and realization rates.
📊 View on Github | 💾 Download PBIX File
Exploratory Titanic Dataset EDA:
Performed in-depth analysis of the Titanic dataset to uncover survival trends based on gender, class, and age. Created visualizations and derived insights.
🌐 View on Kaggle
Performed in-depth analysis of the Titanic dataset to uncover survival trends based on gender, class, and age. Created visualizations and derived insights.
🌐 View on Kaggle
HR Analytics Dashboard (Tableau):
An interactive Tableau dashboard visualizing key HR metrics such as employee turnover, departmental performance, and job satisfaction. It enables HR professionals to make data-driven decisions by revealing workforce trends and attrition insights.
🌐 View on Tableau Public | 📁 Download Tableau File (.twbx)
An interactive Tableau dashboard visualizing key HR metrics such as employee turnover, departmental performance, and job satisfaction. It enables HR professionals to make data-driven decisions by revealing workforce trends and attrition insights.
🌐 View on Tableau Public | 📁 Download Tableau File (.twbx)
Regression Models (Linear & Multivariate):
Implemented Linear Regression models to predict housing prices based on key features such as area, number of bedrooms, and age. The project covers both Univariate and Multivariate Regression approaches using Python’s
🌐 View on Google Colab | 📄 View Report (PDF)
Implemented Linear Regression models to predict housing prices based on key features such as area, number of bedrooms, and age. The project covers both Univariate and Multivariate Regression approaches using Python’s
scikit-learn, pandas, and matplotlib.🌐 View on Google Colab | 📄 View Report (PDF)
See more on my PROJECTS.
🤝 Let's Collaborate!
I'm always open to collaborative projects and open-source contributions.
Got an idea or want to geek out on tech? Let's connect!