I'm a passionate data science student with a love for turning data into insights. Here's a bit about me:
- 📚 I'm currently studying data science at WorldQuant University.
- 💼 I'm looking for opportunities in data analysis, machine learning, and actuarial science.
- 🌱 I'm constantly learning and experimenting with new data science techniques.
- Programming Languages: Python, R
- Data Analysis Tools: Pandas, NumPy
- Machine Learning: Scikit-Learn, TensorFlow
- Data Visualization: Matplotlib, Seaborn
- Database: SQL,MariaDB
- Version Control: Git and GitHub
- Web Scraping: BeautifulSoup, Scrapy
- Big Data: Apache Spark
- Statistical Analysis: Hypothesis Testing, Regression Analysis
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Bachelor of Science in Computer Science
- MOI UNIVERSITY
- Graduation Year: 2024
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Data Science Certification
- Data camp
- Completion Year: 2022
During my academic journey and internship experiences, I've developed a keen interest in risk modeling and actuarial analysis. Here's what I've worked on:
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Actuarial Internship
- NHIF- Ruiru branch
- year 2023
- Worked on insurance risk assessment, pricing models, and predictive modeling for actuarial purposes.
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Risk Modeling Project
- INLIINSE(Index Linked Inflation Scheme)
- Year 2022
- Collaborated with a team to develop a risk assessment model for Insurance indusrty investor. Utilized statistical techniques and machine learning algorithms to analyze and predict risk factors.
Short description:-
Short description:-
I occasionally write about data science, risk modeling, and actuarial analysis on my blog. Here are some of my recent articles:
- Article 1 Title - Brief description.
Feel free to explore my repositories to see more of my work!
You can reach me via email at [[email protected]].