Welcome to my GitHub! I’m a former educator turned aspiring Data Scientist with a strong background in mathematics, education, and data analysis. I recently completed the MIT Applied Data Science Certificate Program and am passionate about leveraging data to solve meaningful problems and drive business impact.

After 11 years in education, I’ve transitioned into data science to combine my analytical mindset, curiosity, and love for learning with technical tools like Python and machine learning. My mission is to use data science for good—whether it's in EdTech, nonprofits, or mission-driven organizations.

• Languages: Python, SQL, Markdown
• Tools & Libraries: Pandas, NumPy, scikit-learn, Matplotlib, Seaborn, Jupyter, Git
• Techniques: Machine Learning, Clustering, PCA, t-SNE, EDA, Data Visualization, Feature Engineering
• Other: GitHub, LinkedIn, Data Storytelling

Here are some of the projects I’m most proud of:

Performed customer segmentation using K-Means clustering and dimensionality reduction techniques to drive targeted marketing strategies. Key Highlights:

• Applied K-Means clustering to identify distinct customer groups.
• Utilized dimensionality reduction for better visualization and interpretation.
• Delivered actionable recommendations for marketing optimization.
• Tools: Python, Pandas, Scikit-learn, Matplotlib.

🔗 Project Repository »

Applied PCA and t-SNE on the Auto MPG dataset to segment vintage cars for a fictional dealership, SecondLife. Key Highlights:

• Identified 3 vintage car segments based on fuel efficiency, performance, and engine characteristics.
• Provided business recommendations for marketing, pricing, and procurement strategies.
• Tools: Python, Pandas, Scikit-learn, Matplotlib.

🔗 Project Repository »

Analyzed transactional data from a food aggregator platform to uncover customer behavior and product performance. Key Highlights:

• Conducted Exploratory Data Analysis (EDA) and statistical analysis.
• Identified key drivers of high-order volumes and customer preferences.
• Provided recommendations to improve customer experience and optimize product offerings.
• Tools: Python, Pandas, Matplotlib, Seaborn.

🔗 Project Repository »

Stay tuned for additional projects on clustering, predictive modeling, and machine learning.

• Expanding my GitHub portfolio with more machine learning and analytics projects.
• Networking and applying for data science, product analyst, and machine learning engineer roles.
• Enhancing my skills in predictive modeling and advanced machine learning.

I'm always open to collaboration, mentorship, and networking opportunities. Feel free to connect with me:

• LinkedIn: https://www.linkedin.com/in/kakennedy183

Thanks for stopping by! 😊