Skip to content
View njifack's full-sized avatar
Block or Report

Block or report njifack

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
njifack/README.md

Header

Welcome to My GitHub Profile!

Hello! My name is Evanessa, and I'm passionate about turning data into insights for impactful decisions👨‍💻. my main intrest are Data Engineering,Data science Data Analytics, Machine Learning & Statistics . I love exploring new technologies and working on exciting projects that solve real-world problems.

My Skills

  • Programming Languages : Python, R, SQL,BASH
  • Data Analysis : Pandas, NumPy, Matplotlib, Scikit-Learn,ggplot2,Tableau
  • Databases : MySQL, PostgreSQL, Apache Spark
  • Software & Tools : Git, Docker, Jupyter Notebook,Colab,Pycharm,VsCode
  • Operating Systems : MacOS, Windows, Linux

Contact Me

Feel free to reach out if you want to collaborate on a project, have any questions, or just want to say hi! You can contact me via:

Fun Fact

♥️ Photography 📷 Soccer ⚽️ Traveling 🌏

Thank You!

Thank you for visiting my GitHub profile! I look forward to connecting with you.

Pinned

  1. Healthcare-Facility-Analysis Healthcare-Facility-Analysis Public

    working with R & RSql to perform data cleaning, summary statistics, outlier detection and visualization

    R

  2. Green-Taxi-Data-Analysis-Project Green-Taxi-Data-Analysis-Project Public

    We implemented the k-NN regression algorithm using the knn.reg function from the FNN package in R to predict tip amounts based on various features of the green taxi trip data.

    R

  3. gene-expression-analysis gene-expression-analysis Public

    Analysis of gene expression data to identify patterns and clusters related to different types of cancer using hierarchical clustering, k-means clustering, and k-medoids clustering methods.

    R

  4. Diabetes-Prediction-Project Diabetes-Prediction-Project Public

    Predicting the onset of diabetes in patients using the k-nearest neighbors (KNN) algorithm.

    R

  5. ETL-data-Pipeline ETL-data-Pipeline Public

    extraction, transformation, and loading (ETL) process of data using Python and MySQL.

    Python