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

• LinkedIn
• Facebook

• Bachelor of Science in Computer Science

  • MOI UNIVERSITY
  • Graduation Year: 2024

• 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:

• Actuarial Internship

  • NHIF- Ruiru branch
  • year 2023
  • Worked on insurance risk assessment, pricing models, and predictive modeling for actuarial purposes.

• 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:-

• data cleaning with python
• reading and visualization of data
• data scince project

Short description:-

• machine learning in python

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]].