I'm a Biomedical Engineer with a passion for Bioinformatics, Artificial Intelligence, and Cancer Genomics. I specialize in leveraging Machine Learning and Deep Learning techniques to derive insights from genomics, proteomics, transcriptomics, and multiomics data.

• 🔬 Experienced in AI-driven bioinformatics solutions.
• 🧬 Passionate about genomic variant pathogenicity classification.
• 📊 Skilled in differential gene expression analysis and multi-omics integration.

• Identification of Biomarkers in Pancreatic Ductal Adenocarcinoma (May 2024 - Jan 2025)
  • Performed differential gene expression analysis using R, Python, STRING, DAVID, and GEPIA2.
• Development of a Hybrid GCN-LSTM Model for Genomic Variant Pathogenicity (Sep 2024 - Dec 2024)
  • Achieved 94% accuracy using Graph Convolutional Networks (GCN) and LSTMs in PyTorch.
• Predicting Protein Folding and Misfolding Pathways (Dec 2024 - Jan 2025)
  • Applied ML techniques for neurodegenerative disease research (91% accuracy).
• Project Playground - A collection of personal coding experiments.
• BioHub - A collaborative repository for bioinformatics workflows and tools.

• Programming: Python, R, Bash
• AI/ML/DL: TensorFlow, PyTorch, Scikit-learn
• EDA & Visualization: Pandas, Matplotlib, Seaborn
• Version Control: Git, GitHub
• Operating Systems: Linux, Windows
• Knowledgeable in: Docker, Django, FastAPI
• Bioinformatics Tools:
  NGS Data Processing: FastQC, Trimmomatic, Cutadapt, STAR, HISAT2, Bowtie2, BWA
  Genomic Data Analysis: Samtools, BCFtools, GATK
  Gene Expression Analysis: DESeq2, edgeR, limma, GEPIA2
  Pathway & Functional Analysis: DAVID, KEGG, Reactome, GO (Gene Ontology), PantherDB
  Network & Interaction Analysis: STRING, Networkx, Cytoscape
  Multi-omics Analysis: mixOmics, MetaboAnalyst
  Microbiome Analysis: QIIME2
  Protein & Structural Bioinformatics: PyMOL, Alphafold
  Variant Annotation & Interpretation: ANNOVAR, VEP (Variant Effect Predictor), ClinVar, dbSNP

• 🎤 Guest Speaker at "II INTERNATIONAL CONGRESS OF SCIENTIFIC RESEARCH AND INNOVATION" (2021)
• 🏅 Certificate of Achievement at Bioinformatics Contest 2021 (Supported by JetBrains, Genotek, Yandex, Serokell)
• 🏆 2nd Runners-Up in Matlab Mania at KUET (2019)

• 📜 Cisco: Python Essentials 1 & 2, NDG Linux Essentials
• 📜 Coursera: Deep Learning Specialization, TensorFlow Developer Specialization, AI for Medical Diagnosis
• 💡 Competitive Coding:
  • HackerRank: 270
  • Rosalind: 64
  • LeetCode: 14
  • Fiverr: 187

• 📧 Email: ikraminf.mat@gmail.com
• 💼 LinkedIn: IkramInf
• 💻 GitHub: IkramInf
• 🌍 Fiverr: ikraminf_mat
• 🏆 Credly: IkramInf
• 🏅 HackerRank: IkramInf
• 🧬 Rosalind: IkramInf

💡 "Empowering biomedical research through AI and bioinformatics." 🚀