Bioinformatics | Computational Biology | AI for Healthcare

I’m a Biotechnology graduate with deep interest in bioinformatics, antimicrobial resistance genomics, and computational data analysis. I build real-world research-oriented tools and analytical workflows that bridge biological insight with data science and machine learning.

• Portfolio

• B.Sc. (Hons) Biotechnology — Mahayogi Gorakhnath University, Gorakhpur (2025)
• Strong foundation in Biotechnology & Bioinformatics
• Currently focused on AMR genomics, sequence analysis, and computational pipelines
• Career goal: Become a researcher & professor with strong expertise in bioinformatics and AI-driven biological analysis

I’m actively improving Python & ML skills to build reproducible biological analysis and research tools.

A structured knowledgebase and analytical framework for studying antimicrobial resistance genes and genomic patterns across pathogens.
This includes data collection, NCBI sequence processing, BLAST automation, visualization, and prototype pipeline creation.

• Bone Fracture Detection using CNN (X-ray images) Quick Test
• BioGeneXplore web app for Gene, proteins Analysis Quick Test
• Antimicrobial activity on Copper literature review

• Improving Python proficiency with data science libraries (pandas, numpy, matplotlib)
• Solidifying foundation in bioinformatics pipelines (sequence alignment, AMR prediction tools)
• Taking real genomic datasets through complete analysis workflows
• MSc + research publications

• Bioinformatics & Genomics: BLAST, Biopython, FASTA processing
• Data Analysis: pandas, matplotlib, seaborn
• Version Control: Git & GitHub
• Future Focus: Machine Learning for biological prediction

I’m open to research collaborations, internships, and academic opportunities — especially in computational biology and AI driven bioinformatics.

• ✉️ Email: researcher.shubham@gmail.com
• 🔗 LinkedIn: https://www.linkedin.com/in/shubham-maddhesiya/