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Islam-tangimul/README.md

# Md. Tangimul Islam

📊 Wet-lab–trained Data Science Enthusiast | 🧪 Computational Biology Learner

Hello and Welcome!

I enjoy exploring how data science and computational tools can be applied to biological and biomedical research, particularly in genomics, microbiome studies, communicable and non-communicable diseases.

My goal is to pursue a PhD in bioinformatics, computational biology, or data-driven translational/clinical research, where I can combine experimental biology with omics data to investigate complex biological questions.

🌱 Currently Learning

  • Bash scripting in Linux
  • R programming and statistical analysis
  • Python for biological data analysis
  • Data visualization for biological datasets
  • Reproducible research workflows (Snakemake)
  • Bioinformatics tools for genomics analysis

🧰 Tools & Skills (Learning and Practicing)

Programming

Python · R · Bash · Linux

Data Science

Pandas · NumPy · Matplotlib · ggplot2 · tidyverse · Gapminder · DESeq2

Bioinformatics

NGS data basics · Microbiome analysis · Genomics workflows · Galaxy platform

Research Skills

Scientific literature reading · Data interpretation · Reproducible research practices

🚀 Projects

  • Python for Biologists – Python scripts for biological data analysis
  • 30 Days with R – Statistical analysis and visualization exercises
  • Microbiome Data Analysis – Computational exploration of microbial datasets
  • Linux & NGS Genomics Basics – Notes and workflows for genomic data analysis

⚡ Beyond Research

I am interested in philosophy of sciences

“A theory that explains everything, explains nothing.”
-Karl Popper

📫 Connect With Me

📍 Bangladesh

✉️ Email: rifat.tangimul@gmail.com

🌐 Website: https://sites.google.com/view/mdtangimulislam

🔗 LinkedIn: https://linkedin.com/in/md-tangimul-islam-3814271a3

🐦 Twitter: https://twitter.com/tangimul_md

💻 GitHub: https://github.com/Islam-tangimul

Popular repositories Loading

  1. R-for-Biologist R-for-Biologist Public

  2. Linux-and-NGS-Genomics-Basic Linux-and-NGS-Genomics-Basic Public

    Tools, scripts, and workflows for Linux-based genomic data analysis

  3. Microbiome-data-analysis- Microbiome-data-analysis- Public

    Microbiome data science project focused on analyzing, processing, and visualizing microbial community data

  4. Git-and-Github- Git-and-Github- Public

    Basic guide to using Git and GitHub for biologists, with practical examples for managing research data, analysis scripts, and collaborative projects.

  5. Python-for-Biologists-Basic- Python-for-Biologists-Basic- Public

    A collection of Python scripts and tutorials designed to help biologists analyze and visualize biological data efficiently.

  6. Machine-Learning-Basic-Theory Machine-Learning-Basic-Theory Public

    A comprehensive collection of foundational machine learning theories, concepts, and mathematical explanations for beginners.