I’m a passionate Full Stack Web Developer with a strong foundation in Machine Learning and Data Science. I thrive on solving complex problems and building innovative solutions that make a difference. My enthusiasm for bioinformatics drives my exploration in this fascinating field, where I aim to combine technology with biological data to uncover new insights.

Here are some of my recent projects that showcase my skills and interests:

• PC-CDDM: Official codebase for my pancreatic cancer combinational drugs discovery study
• PIM1-Kinase-Inhibitor-QSAR: Machine Learning QSAR Study for Investigating the Characteristics of a Potential Inhibitory Molecule for PIM-1 Kinase which is involved in various types of cancer
• SBA-DEG-Analysis: Identification of novel hub genes for Small Bowel Adenocarcinoma with integrated and non-integrated bioinformatics tools
• Mylinx: A multi-featured link-in-bio generator built with Laravel and Vue.js, designed to help users optimize their online presence.
• ChEMBL-Explorer: A web application for downloading bioactivity data from the ChEMBL database, created using Python and Streamlit.

• Bioinformatics: Differentially Gene Expression Analysis, microarray analysis, ML-based QSAR, GEO, ChEMBL, STRINGS Database, Cytoscape, NetworkAnalyst, Enrichment Analysis (GO, KEGG), DrugBank, PadelPy, PubChemPy, RDKIT
• Machine Learning & Data Science: Scikit-learn, Pandas, NumPy, TensorFlow, R Studio, Matplotlib, Jupyter Notebook, Conda/Anaconda
• Languages & Frameworks: JavaScript, Python, PHP, R, Laravel, Vue.js, HTML, CSS
• Academic: LaTeX, Zotero, EndNote, Overleaf
• Other: Linux, Docker, CI/CD, Git

I’m always excited to connect with fellow developers, researchers, and potential collaborators! Feel free to reach out to me via: Email: [email protected] LinkedIn: (https://www.linkedin.com/in/aram-donyaee)