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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
  • Bioinformatics Tools : Blast,DESeq2, edgeR,ClustalW, MUSCLE,MAFFT,NCBI, EMBL
  • Bioinformatics : multiple genome alignments, Phylogenetic Trees,RNA-Seq NGS data Analysis

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.

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  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