I'm a passionate individual with a strong educational background and experience in Actuarial Science and Data Science. I have a solid foundation in Actuarial Science from Moi University and have also pursued data science, data analysis, and database management systems from WorldQuant University, DataCamp Bootcamp, IBM, and W3Schools.
- Moi University
- Bachelor of Actuarial Science
- Graduated: [2024]
- WorldQuant University
- Data Science lab projects
- Completed: [2023]
I have honed my data science and data analysis skills through hands-on experience, including courses and projects from DataCamp, Coursera and IBM. My expertise includes:
- Data analysis and visualization
- Machine learning
- Statistical modeling
- Latex for Maths
Here are some data science projects I've worked on:
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Project 1: Customer Churn Prediction
- Built a machine learning model to predict customer churn for a telecom company.
- Utilized Python and libraries like scikit-learn and pandas.
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Project 2: Sales Forecasting
- Developed a time series forecasting model to predict future sales for an e-commerce business.
- Used Python and tools like Facebook Prophet and ARIMA.
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INLIINSE(Index Linked Inlation Sceme) -We came up with an insurance model where we were trying to figure our probabilyt in inflation and if it is insurable or not.
- We used different tools to fit in our model and do more research about the product.
I am proficient in database management systems, having gained knowledge and experience from W3Schools. My skills in this area include:
- Relational database design
- SQL programming
- Data modeling
Consider adding database-related projects here, showcasing your skills in SQL, data modeling, and database design.
Feel free to connect with me on LinkedIn, follow me on Twitter, or explore my other projects on GitHub. I'm always open to collaborating on interesting projects and networking with like-minded professionals.