Chuyeh Godlove's Portfolio.

Data Analyst well versed in Excel,Python,SQL,Tableau,Power BI
@chuyeh-godlove.

  • About Me.

    I am a recent graduate with a Bachelor of Science in Mathematics from the University of Buea, Cameroon. I am passionate about using data to solve problems and make informed decisions. I am a highly motivated and detail-oriented individual with strong analytical and problem-solving skills. I am also proficient in using statistical software, such as R and Python. In my research, I was responsible for collecting, cleaning, and analyzing data on the effectiveness of different teaching methods. I also developed and implemented statistical models to predict student performance. I am confident that my skills and experience make me a strong candidate for a career in data I am eager to learn more about the field of data analytics and to apply my skills to real-world problems. I am also a team player and I am confident that I can contribute to a positive work environment. I am looking for a position in data analytics where I can use my skills to make a difference. I am particularly interested in working in the finance or education sectors.

    • sep 12, 2022

    Amazon Web
    Scraping

    In this project i used some python libraries such as; Beautifulsoup Pandas and many others to scrape and change the data into a csv file and load into excel for further analysis.

    April 24, 2022

    Data Cleaning in
    SQL Sever.

    Used sql to clean covid 19 data. The COVID-19 dataset is a collection of data about the COVID-19 pandemic. It includes data on confirmed cases, deaths, and other metrics from countries around the world. The data is collected from a variety of sources, including government agencies, health organizations, and news outlets.

    Sep 06, 2023

    IBM Data Analytics
    Capstone Project

    Final project meant to showcase my skills In this project, assuming myself as the Data Analyst for the company, I undertook the tasks of collecting data from multiple sources, performing exploratory data analysis, data wrangling and preparation, statistical analysis and mining the data, creating charts and plots to visualize data, and building an interactive dashboard using IBM Cognos Analytics.