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Bioinformatician (PhD) specializing in age-associated disease research. Experience running comprehensive analysis of proteomic and transcriptomic data from serum, biopsies, and tissue organoids using R. Services; - Differential expression analysis (volcano plots, heatmaps, violin plots) - Biomarker discovery and survival analysis (Kaplan-Meier curves, population setpoints) - Machine learning for classification and regression (SVM, Logistic Regression, Random Forest, Neural Networks) - Pathway analysis (pathfindR, Reactome, KEGG, Wikipathways) - Exploratory data analysis (PCA, UMAP, t-SNE, statistical testing, customized plots) - Drug repurposing analysis (sscMap) Publication track record; - DOI 10.1002/ctm2.70279 (1st Author) - DOI 10.3390/biom14091163 (1st Author) - DOI 10.3390/cells13191613 (2nd Author) - DOI 10.59368/agingbio.20240035 (2nd Author)

Data Scientist and Machine Learning Engineer with experience in Python and R for data analysis, predictive modeling, and NLP. Track record of delivering real-world AI applications — from raw data to working APIs. Skilled in feature engineering, semantic search, multilingual text classification, and deploying ML services with FastAPI. Passionate about building production-ready data pipelines and applying machine learning in meaningful ways.

Hello 👋🏻 I'm Soheil I take messy biological data (DNA, RNA, proteomics, you name it!) and turn it into clear, actionable insights. If you’re looking for someone who: ✧ Has strong data science skills ✧ Has a reliable working style ✧ and Combines deep biological knowledge let’s connect together What sets me apart is not just technical skill, but the way I work: ✅ I keep communication clear ✅ My workflows are organized ✅ Results are aligned with your goals ✅ Also I treat every project like a collaboration, not just a contract. Because when my client is happy with their research, my joy spikes like a volcano plot.🌋 My expertise cover: • Programming: Python, R Programming, Linux, Bash Scripting and Git • Genomics & Transcriptomics: RNA-seq, DNA-seq, variant detection, differential expression, alternative splicing, functional genomics (GO/KEGG), phylogenetics, single-cell analysis • Machine Learning & AI for Biotech: Biomarker prediction, classification, clustering, pharmacogenomics, toxicogenomics, multi-omics integration, deep learning for biomarker discovery • Custom Pipelines in Python/R: Reproducible workflows tailored for NGS, epigenomics, and precision medicine projects • Metagenomics & Microbiome Data Science: Whole-genome & 16S rRNA analysis, microbiome-host interactions, AI-powered taxonomic & functional profiling • Structural & Systems Biology: Protein-protein interaction analysis, molecular docking, molecular dynamics simulations, AI-driven protein structure prediction (AlphaFold, Rosetta) • Data Visualization & Reporting: Clean, insightful figures and publication- or investor-ready reports My background in Biotechnology and the hands-on experience of working with PhD researchers and start-ups on projects in 🧬 Genomic 🩻 Cancer state prediction 🧪 RNA/DNA-seq analysis and 💊 Drug design gave me these foundations. Let's connect. 💎 Together, we’ll make your data tell its story.

I have experience in projects ranging from quick turnaround analyses to large-scale research initiatives. I offer: - Rich quantitative analyses with down-to-earth insights, - Informative, professional, and elegant data visualisations, - A transparent and collaborative-focused process so that you stay informed and involved at every step of the way. Get in touch if you are in need of an experienced and versatile statistician!

I’m a developer with experience in building websites for small and medium sized businesses. Whether you’re trying to win work, list your services or even create a whole online store – I can help!

I'm a Civil Engineer (PhD, Transportation) specializing in AI-driven solutions for urban mobility. At University College Dublin, I work on data-centric approaches to improve city planning, sustainability, and road safety. Experienced in machine learning, computer vision, and data analytics, I aim to create practical tools that help shape smarter and more inclusive cities.