Welcome to my GitHub portfolio! I'm passionate about turning data into actionable insights and building predictive models that solve real-world problems. With a strong foundation in mathematics and statistics, I combine analytical rigor with practical data science skills.

I'm a data-driven professional with expertise in data analysis, machine learning, and business intelligence. Currently pursuing advanced studies in Mathematics and Statistics while actively working on data science projects. I thrive on solving complex problems through data and am always eager to learn new technologies and methodologies.

• Excel: Advanced functions, PivotTables, PivotCharts, dashboards, YoY growth analysis
• Power BI: Interactive dashboards, data modeling, business reporting
• Python: Data analysis, visualization (Pandas, NumPy, Matplotlib, Seaborn)
• SQL: Query optimization, database management, data extraction

• Predictive Analytics: Customer churn prediction, classification models
• Classical ML: Regression, classification, clustering
• Natural Language Processing: Text analysis, sentiment analysis, fake news detection
• Libraries: Scikit-learn, TensorFlow basics, NLTK

• Advanced Mathematics: Calculus III, Linear Algebra II, Abstract Algebra
• Statistics: Probability & Statistics I & II, bivariate analysis, moment generating functions
• Statistical Modeling: Hypothesis testing, regression analysis, probability distributions

• Version Control: Git, GitHub
• Documentation: Technical writing, Markdown
• Software Testing: Quality assurance, testing methodologies
• Operating Systems: Cross-platform development knowledge

Machine Learning | Healthcare Analytics

• Built a classification model to predict diabetes risk using patient health metrics
• Implemented feature engineering and model optimization techniques
• Achieved [X]% accuracy with comprehensive model evaluation
• Tech Stack: Python, Scikit-learn, Pandas, Matplotlib

NLP | Classification | Social Media Analytics

• Developed an NLP-based system to classify news articles as real or fake
• Implemented text preprocessing, feature extraction, and machine learning algorithms
• Created an end-to-end pipeline for news verification
• Tech Stack: Python, NLTK, Scikit-learn, Natural Language Processing

Predictive Analytics | Business Intelligence

• Analyzed customer behavior patterns to predict churn probability
• Implemented multiple ML algorithms and compared performance
• Provided actionable insights for customer retention strategies
• Tech Stack: Python, Machine Learning, Statistical Analysis

Business Intelligence | Data Visualization

• Created interactive dashboards for sales performance monitoring
• Implemented KPI tracking and trend analysis
• Designed user-friendly reports for stakeholder decision-making
• Tech Stack: Power BI, Excel, Data Visualization

• Mathematics & Statistics - [Kenyatta University]
  • Advanced coursework in Calculus, Linear Algebra, Probability Theory
• Virtual Assistance Certificate - Digital communication and organizational skills
• Machine Learning Associate Level - Predictive analytics and classical ML

🔍 Data Analysis & Problem Solving

• Real-world project experience in Excel, Power BI, and Python
• Strong analytical thinking backed by mathematical rigor

🤖 Machine Learning & Predictive Modeling

• Experience with classification, regression, and NLP projects
• Focus on practical applications and model interpretability

📊 Business Intelligence & Reporting

• Dashboard creation and KPI monitoring
• Translating data insights into business value

🎯 Professional Skills

• Critical thinking and feedback-driven improvement
• Strong communication and technical documentation
• Adaptability and continuous learning mindset

• Strong Mathematical Foundation: Advanced coursework in mathematics and statistics provides deep analytical capabilities
• Practical Experience: Real-world projects spanning healthcare, media analysis, and business intelligence
• Growth Mindset: Actively seeks feedback and continuously improves technical and professional skills
• End-to-End Perspective: From data collection to model deployment and business insights

I'm always interested in collaborating on data science projects, discussing machine learning techniques, or exploring new opportunities in analytics and AI.

• Advancing NLP skills through fake news detection project
• Exploring deep learning applications in predictive analytics
• Building more interactive dashboards and data visualization projects
• Contributing to open-source data science projects

"Data is not just numbers; it's the story waiting to be told and the insights waiting to drive action."

⭐ If you find my projects interesting, please consider giving them a star! ⭐