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kelvinmutunga/README.md

Kelvin Mutunga 💻 📊 - Data Analyst/Data Scientist Portfolio

Hi, I'm Kelvin! passionate Data Analyst/Data Scientist. I have a solid background in Applied Statistics with Programming. I have developed strong analytical and technical skills, and I am enthusiastic about leveraging data to uncover insights and drive decision-making. My expertise spans a range of tools and programming languages essential for data analysis.

I honed my ability to work with complex datasets and developed a keen eye for identifying patterns and trends. I gained experience in data management, statistical analysis, and programming, which are invaluable in the field of data science.

I enjoy exploring new data analysis tools and techniques in my free time, and I am always looking for opportunities to expand my knowledge and skills. Whether working on a team or independently, I am driven by the thrill of discovering new insights and the satisfaction of using data to solve complex problems.

This repository showcases my skills, shares projects, and tracks my progress in Data Analytics / Data science-related topics.

kelvinmutunga

Languages and Tools

Languages

Python R Julia HTML CSS JavaScript PHP Laravel Blade

Best frameworks and main libraries for Python3:

Pandas NumPy Matplotlib Seaborn Scikit-Learn TensorFlow PyTorch

Tools for Data Manipulation & Visualization:

Excel Power BI QGIS Tableau D3.js Looker Data Studio

Environments, Testing, Other:

Jupyter Git MySQL PostgreSQL SQLite Anaconda

About Me

  • 📊 I am proficient in data management, statistical analysis, and visualization.
  • 🤝 I'm looking to collaborate on data analysis projects to generate actionable insights.
  • 📝 I regularly explore new data analysis tools and techniques.
  • 💬 Ask me about Python, R, Julia, pandas, matplotlib, seaborn, Excel, SQL, and Power BI.

Contact

Email

Connect with Me

LinkedIn X Kaggle

GitHub Stats

Kelvin's GitHub Stats Top Langs

Contributions

GitHub Streak

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  1. Linear-Regression-using-julia Linear-Regression-using-julia Public

    Linear regression in Julia can be performed using various packages, but one popular choice is the GLM (Generalized Linear Models) package. Here's a basic example of how you can perform linear regre…

    Julia 3

  2. D3.js-Visualization-and-Dashbords D3.js-Visualization-and-Dashbords Public

    D3.js (Data-Driven Documents) is a powerful JavaScript library used for creating dynamic and interactive data visualizations in web browsers. It gives you the tools to bind data to a Document Objec…

    JavaScript 3

  3. DESeq2-Analysis DESeq2-Analysis Public

    DESeq2 is a widely used tool in RNA-seq analysis that employs normalization, negative binomial modeling, and statistical testing to identify genes with differential expression between experimental …

    R 1

  4. DNA-TRANSCRIPTION DNA-TRANSCRIPTION Public

    Using Biopython, you can swiftly transcribe DNA sequences into RNA. By importing the necessary modules and invoking the transcription function, you can seamlessly convert the genetic code. Biopytho…

    Python 1

  5. Statistical-Analysis-using-SAS-JMP-PRO Statistical-Analysis-using-SAS-JMP-PRO Public

    Analyzing data using SAS JMP (pronounced "jump") involves several steps, from importing data to performing various types of analyses and visualizations.

    3