🌌 Summary: - Astrophysics MS Graduate with expertise in Physics, Statistics, Data Science and AI/ML. - Python Programming Expert specializing in data analysis, modeling, and automation. - Fluent in English, with professional-level writing and communication skills. - SEO Writing Expertise for optimized, high-ranking content. 🌟 Core Skills: - Astrophysics Research & Data Analysis - Machine Learning & AI Applications - Python Programming (Advanced Level) - Data Visualization & Problem Solving - Professional Writing & SEO Content Creation 📊 Notable Achievements: - Conducted advanced research projects in Astrophysics for my Master’s degree. - Developed data-driven solutions to solve complex challenges using Python. - Authored and presented a Master’s thesis in High-Energy Astrophysics, showcasing both scientific expertise and technical writing. - Created SEO-optimized content for improved visibility and traffic. - Demonstrated a strong ability to analyze, model, and interpret data effectively. 👨‍💻 My Work Approach: - Committed to delivering high-quality, data-backed results. - Detail-oriented, ensuring precision and accuracy in every project. - Adaptable and proactive, with a willingness to explore new challenges. - Clear and consistent communication for seamless project management. - Strict adherence to deadlines to ensure timely completion. 🔗 Let’s Collaborate: If you need astrophysics research, data analysis, content writing, or SEO optimization, I’m here to help you succeed. I’ll work closely with you to understand your requirements and deliver results that exceed expectations.

Are you looking for more than just a data entry specialist? I am a PhD-qualified (Monash University, 2025) Physicist with a background in high-stakes research, synchrotron beamline operations, and advanced medical imaging. I specialise in bridging the gap between raw, complex datasets and the clear technical communication required for industry success. What I bring to your project: Expert Data Analysis: Advanced proficiency in Python (Pandas, NumPy, SciPy) and statistical modelling. I don't just run scripts; I understand the underlying physics and logic of your data. Imaging & Signal Processing: Extensive experience in C++/Python image processing, specifically for medical and X-ray applications. Scientific Communication: As a published researcher in Q1 journals (Optics Express, Physics in Medicine & Biology), I can draft whitepapers, technical documentation, and AI training datasets that are accurate and professional. Problem Solving: From developing remote-friendly tutorials to optimising synchrotron experiments, I thrive on finding efficient solutions to "impossible" technical hurdles. Services Offered: ✅ Custom Python Data Pipelines & Automation ✅ Scientific & Technical Writing / Peer-Review Prep ✅ Statistical Modeling & Quantitative Analysis ✅ Medical Imaging Data Processing Let’s collaborate to make your data work harder for you. Click the "Invite" button, and let's discuss how my research background can solve your current challenge.

I help research teams and biotech companies turn complex clinical and genomic data into clear, publication-ready insights. With a unique background as a former dentist, I don't just see the numbers; I understand the clinical context behind them. I specialize in designing and executing hypothesis-driven research projects. My work begins with processed genomic or clinical data (e.g., from TCGA, GEO, or your own lab), from which I generate deep biological insights using advanced statistical and machine learning models in R. My Core Services: Bioinformatics & Genomics: Downstream analysis of large-scale datasets (TCGA, GEO), gene expression & RNA-Seq analysis, and biomarker discovery. Clinical Biostatistics: Survival analysis (Kaplan-Meier, Cox Models), clinical trial data analysis, longitudinal studies, and analysis of real-world data (EHR). Machine Learning: Building and validating predictive models in R (tidymodels, caret) to stratify patients or predict clinical outcomes. Data Visualization & Reporting: Creating clear, publication-quality figures (ggplot2) and interactive dashboards (Power BI) that tell a compelling story. If you need a research partner who can handle the entire high-level data analysis portion of your project—from hypothesis to publication—let's connect.

🧠 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 + 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 + 𝗕𝗶𝗼𝗹𝗼𝗴𝗶𝘀𝘁 PhD Biologist turned AI Engineer. Based in Germany. 60+ peer-reviewed publications in Gut (IF>25), JAMA Cardiology, and Neurology. Led international GWAS consortia. 20+ production ML projects in computer vision, NLP, time series, and MLOps. 5.0 stars across 100+ clients. 15+ years leading genetics, genomics, and clinical AI research across top European institutions. 🚀 𝗪𝗵𝗮𝘁 𝗜 𝗗𝗼 - Build RAG systems and LLM agents for medical, scientific, and enterprise workflows - Build ML models: classification, computer vision, NLP, time series, recommendation - Analyse genomes: RNA-seq, scRNA-seq, microbiome, GWAS, NGS variant calling - Run biostatistics and epidemiology: survival analysis, meta-analysis, causal inference - Write manuscripts, systematic reviews, grants, and scientific reports - Build Excel dashboards, Power BI reports, and automated data pipelines - Tutor in R, Python, biostatistics, bioinformatics, and ML fundamentals 🤖 𝗔𝗜 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 - RAG pipelines: LangChain, ChromaDB, Pinecone, Supabase Vector, GraphRAG, RAGAS - Agents: LangGraph, Claude Code WAT framework (40+ Python tools), n8n, Make, VAPI - Full-stack: FastAPI, Streamlit, React, TypeScript, Supabase, Docker - 89 live platforms across AI, genomics, automation, and healthcare (see Portfolio section) 📈 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 - Classification/regression: scikit-learn, XGBoost, LightGBM, GNN - Computer vision: pneumonia detection, COVID X-ray, steel defect segmentation - Time series: energy forecasting (167M rows), fire response, retail sales - NLP: supply chain satisfaction, form NER, multimodal classification (27 classes) - MLOps: federated learning, model registry, CI/CD, anomaly detection pipelines - Data engineering: OHLCV pipelines, OCR extraction, production ETL 🧬 𝗕𝗶𝗼𝗹𝗼𝗴𝘆 & 𝗕𝗶𝗼𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗰𝘀 - RNA-seq and scRNA-seq: STAR, DESeq2, Seurat, Scanpy, trajectory analysis - Spatial transcriptomics, ATAC-seq, multiomics (SIB Swiss Institute trained) - Microbiome: QIIME2, DADA2, 16S/ITS amplicon, shotgun metagenomics - GWAS: PLINK, PRSice, Mendelian randomization - led COURAGE-PD consortium - NGS: GATK, VCF, WES/WGS, pharmacogenomics, methylation (EPIC array) - Pipelines: Snakemake, Nextflow, HPC/SLURM, Docker, Conda 📊 𝗕𝗶𝗼𝘀𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝘀 & 𝗘𝗽𝗶𝗱𝗲𝗺𝗶𝗼𝗹𝗼𝗴𝘆 - Cox regression, mixed models, survival analysis, logistic, causal inference - Meta-analysis, PRISMA systematic reviews, health economics, QALY - R, Python, SPSS, SAS, Stata - Lecturer in Applied Regression at Masters level (Lübeck) 📋 𝗘𝘅𝗰𝗲𝗹, 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀 & 𝗥𝗲𝗽𝗼𝗿𝘁𝗶𝗻𝗴 - Advanced Excel, VBA, Power BI, Tableau, Google Sheets, Looker Studio - Clinical KPI dashboards, automated XLSX pipelines via Python, financial modeling 📝 𝗪𝗿𝗶𝘁𝗶𝗻𝗴, 𝗚𝗿𝗮𝗻𝘁𝘀 & 𝗗𝗲𝘀𝗶𝗴𝗻 - Manuscripts, systematic reviews, grant proposals (NIH, EU Horizon, DFG) - Scientific figures, posters, graphical abstracts, slides from papers ⭐ "Best researcher and data analyst I have ever worked with." ⭐ "Professional, understands both the science and the data." ⭐ "Great at both writing and R, brings creative AI solutions." Send your goal, timeline, and data. I will reply with exactly what I can deliver. SKILLS TAGS Artificial Intelligence RAG Claude Code Medical Writing Biostatistics Epidemiology Systematic Review Genetics Bioinformatics Scientific Writing Python React Supabase Grant Writing Web Development

I hold a Ph.D. in Optical Engineering, a Master’s in Physics, and a Postgraduate Diploma in Information Technology, along with dual bachelor’s degrees in Science and Education. Beyond academics, I specialize in creating clear, engaging, and professional educational content. My expertise includes: Developing technical articles supported by self-explanatory illustrations Designing academic graphics, worksheets, and tutorial-style videos Editing and preparing research papers, reports, and professional documents Building adaptive, AI-driven learning modules and personalized practice resources I actively apply AI tools in education and research, integrating them into curriculum development, data analysis, and content creation. My work connects traditional academic rigor with modern, technology-enhanced learning. Key Services: Academic Graphics, Illustrations, and LaTeX/MathJax Content Technical Writing, Articles, Blogs, and Research Support Data Analysis, Modeling, and Automation (Python, Matlab, AI-based tools) Curriculum and Worksheet Development with AI integration Data Collection, Annotation, and Preprocessing AI Automation I have published in peer-reviewed journals and bring the same attention to detail and precision to client projects. Whether developing research documents, designing graphics, or applying AI for education and analytics, I deliver results that are accurate, professional, and tailored to your needs.

🔍,SEO-based research | 📊 Data Science | 🤖 Generative AI | 🧠 Machine Learning | 🐍 Python | 📈 R Programming | 📊 Analytics | 🧬 Bioinformatics I am a Data Scientist and AI Engineer with expertise in Machine Learning, Generative AI, data analytics, natural language processing (NLP), and bioinformatics. I help businesses, researchers, and startups transform data into actionable insights through predictive modelling, statistical analysis, AI-powered solutions, and custom Python and R applications. With over **75 successfully completed freelance projects* and experience training 32+ students in Data Science and Bioinformatics, I bring both technical expertise and strong communication skills to every engagement. My focus is on delivering accurate, reproducible, and business-oriented solutions that create measurable value. 🎯 Core Expertise 🔹 Data Science & Analytics • Data Cleaning & Preprocessing • Exploratory Data Analysis (EDA) • Feature Engineering • Statistical Modeling • Predictive Analytics • Data Mining • Network Analysis 🔹 Machine Learning & AI • Supervised & Unsupervised Learning • Classification & Regression • Support Vector Machines (SVM) • Principal Component Analysis (PCA) • K-Means Clustering • Deep Learning • Generative AI • Natural Language Processing (NLP) 🔹 Featured Projects • Stock Price Prediction using LSTM Networks • Breast Cancer Classification using PCA + SVM • Image Segmentation using K-Means Clustering • Machine Learning Model Development and Evaluation • Face Detection using Haar Cascade Features and OpenCV • Research Analytics and Data Visualization 🔹 Programming & Analytics • Python • R Programming • SQL • C++ • C# • MATLAB •Java 🔹 Data Science & Machine Learning Libraries • Scikit-Learn • TensorFlow • Keras • NumPy • Pandas • Matplotlib • Seaborn • Plotly • ggplot2 • dplyr • tidyr • DESeq2 🔹 Bioinformatics & Computational Biology • NGS & RNA-Seq Analysis in Python and R • Biopython • Cytoscape, STRING, DAVID, GSEA • AlphaFold, PyMOL, ChimeraX • Galaxy Server and Linux-based Pipelines • Molecular Docking (AutoDock and ML-Based) • Molecular Dynamic Simulation in GPU (GROMACS, AMBER, NAMD) Why Work With Me? ✅ 75+ Successfully Completed Projects ✅ 32+ Students Trained Worldwide ✅ Strong Research and Analytical Background ✅ Clear Communication and Documentation ✅ On-Time Delivery and Reliable Support Let's discuss how I can help with your data science, AI, machine learning, analytics, or bioinformatics project.

**************Genomics & Informatics Lab (GIL) ***************** **************Your Trusted Partner in Advanced Bioinformatics & AI-Driven Multi-Omics****** I lead a distinguished team at Genomics & Informatics Lab (GIL), specializing in Biotechnology, Bioinformatics, Computational Biology, and AI-powered Multi-Omics. At GIL, we offer a comprehensive suite of cutting-edge services tailored to meet the evolving demands of genomics, transcriptomics, proteomics, metagenomics, pharmacogenomics, and precision medicine. Our Expertise: AI-Powered Bioinformatics & Multi-Omics Data Analysis 🔬 1. Bioinformatics & Genomics: AI/ML-powered Next-Generation Sequencing (NGS) data analysis Comparative & Population Genomics for evolutionary insights Genetic variant detection & annotation Functional Genomics (Gene Ontology, KEGG Pathway analysis) Phylogenetics & Evolutionary Genomics miRNA structure prediction & target analysis 🧬 2. AI-Driven Transcriptomics & Epigenomics: RNA-Seq & Single-Cell Transcriptomics Differential Expression & Alternative Splicing Analysis Epigenomics: DNA Methylation & Histone Modification Analysis 💊 3. Computational Pharmacogenomics & Precision Medicine: AI-assisted drug-gene interaction prediction Pharmacogenomic modeling for personalized medicine Toxicogenomics & Drug Response Prediction 🦠 4. Metagenomics & Microbiome Data Science: Whole-genome & 16S rRNA sequencing-based microbiome analysis Microbiome-host interaction modeling AI-powered taxonomic & functional profiling ⚛ 5. AI in Structural & Systems Biology: Protein-Protein Interaction Analysis & Docking Molecular Dynamics (MD) & Simulation Studies AI-driven protein structure prediction (AlphaFold, Rosetta, etc.) 🤖 6. AI & Machine Learning in Multi-Omics Integration: Deep learning for biomarker discovery Multi-omics data integration (Genomics, Proteomics, Metabolomics, Epigenomics) Network-based systems biology approaches 🚀 State-of-the-Art Computing Infrastructure GIL is equipped with high-performance computing (HPC) clusters, multi-core processing, and cloud-based analytics, ensuring scalable, fast, and accurate bioinformatics solutions. 💡 Why Choose GIL? ✅ Expert Team: Decades of experience in computational biology & AI ✅ Cutting-Edge Technologies: AI, ML, and HPC-powered analytics ✅ Proven Track Record: Successful projects in academia & industry ✅ Custom Solutions: Tailored pipelines for diverse research needs Let GIL be your trusted partner in advancing your research! Contact us today to explore how we can support your next breakthrough in computational biology and AI-driven bioinformatics. 🔍💻🧬

⭐⭐⭐⭐⭐ Top Rated | 100% Job Success | Trusted by Global Clients “Talented work… more than expected.” “Excellent quality and professional communication.” “Highly recommend for complex, detail-oriented projects.” I am Dr. Abhishek Gupta, BDS, MDS — Associate Professor & Head of Oral Medicine and Radiology at Chitwan Medical College, Nepal, with 70+ publications, 220+ citations, and extensive experience in medical research, academic writing, and SEO health content. I specialize in delivering **publication-ready research and high-impact medical content** that meets both journal standards and real-world application. ━━━━━━━━━━━━━━━━━━━ 🔬 SYSTEMATIC REVIEWS & RESEARCH ━━━━━━━━━━━━━━━━━━━ ✔ PRISMA-compliant Systematic Reviews & Meta-analysis ✔ PROSPERO Registration & Protocol Development ✔ Literature Search (PubMed, Scopus, Embase, Cochrane) ✔ Data Extraction, Risk of Bias (ROBINS-I, NOS), Evidence Synthesis ✔ Manuscripts: Reviews, Original Research, Case Reports 📚 Representative Work:Q1 Journals • Systematic Review – Pediatric Obesity Interventions (Elsevier) • Systematic Review – Early Feeding & Obesity Risk • Systematic Review – Ethnicity & Pharmacotherapy ━━━━━━━━━━━━━━━━━━━ ✍️ MEDICAL WRITING & SEO CONTENT ━━━━━━━━━━━━━━━━━━━ ✔ Medical & Scientific Writing (PubMed/Scopus-indexed journals) ✔ SEO-Optimized Health Content (Semrush-certified strategies) ✔ Blog, Website, and Patient Education Content ✔ Academic Editing & Journal Submission Support 📄 Featured Work: • Mixed-Methods Public Health Study (Food Allergy KAP) ━━━━━━━━━━━━━━━━━━━ 🦷 CLINICAL & SPECIALIZED EXPERTISE ━━━━━━━━━━━━━━━━━━━ ✔ Oral Medicine & Radiology (2D & CBCT interpretation) ✔ Oral Cancer & Preventive Oncology ✔ Public Health & Epidemiology ✔ Medical Annotation & Clinical Data Review 📌 Oncology Portfolio: • Oral Cancer Research & Awareness Work ━━━━━━━━━━━━━━━━━━━ 📈 CREDENTIALS & AUTHORITY ━━━━━━━━━━━━━━━━━━━ • 70+ peer-reviewed publications | 220+ citations • h-index: 9 | i10-index: 9 • Reviewer for 20+ international journals (100+ reviews completed) • Published in Cureus, BioMed Research International, Obesity Pillars, and more • Certified in Medical Writing, Research Methodology, and SEO ━━━━━━━━━━━━━━━━━━━ ⚡ WHAT YOU CAN EXPECT ━━━━━━━━━━━━━━━━━━━ ✔ Publication-ready, plagiarism-free work ✔ Accurate referencing (Mendeley/Zotero) ✔ Evidence-based, high-impact writing ✔ Clear communication & on-time delivery ✔ Revisions until acceptance 🚫 Ethical Note: I strictly follow academic integrity and do not assist with unethical academic tasks. If you’re looking for a reliable medical expert who delivers accurate, publication-ready, and impactful work — I’d be glad to collaborate.

I help businesses turn messy datasets and spreadsheets into clean, reliable, analysis-ready data. If your dataset contains duplicates, missing values, inconsistent formats, or poorly structured spreadsheets, I can clean, standardize, and prepare it for reliable analysis and reporting. I’m a PhD Chemical Engineer with a strong background in analytical methods and scientific data validation. I apply the same rigor used in scientific research to ensure that your data is accurate, consistent, and reproducible. What I can help you with: DATA CLEANING & PREPARATION ▪️ Cleaning messy Excel / CSV datasets ▪️ Handling missing values and inconsistent formats ▪️ Detecting duplicates and anomalies ▪️ Standardizing variables and data formats ▪️ Preparing datasets for analysis or dashboards DATA VALIDATION ▪️ Creating validation rules ▪️ Detecting data integrity issues ▪️ Building reproducible data cleaning workflows DOCUMENTATION ▪️ Clear data dictionaries ▪️ Structured datasets ready for analysis ▪️ Reproducible workflows using Jupyter notebooks TOOLS I USE ▪️ Python (Pandas, NumPy) ▪️ Excel ▪️ CSV / Parquet ▪️ Jupyter Notebooks TYPICAL PROJECTS: ▪️ Cleaning and restructuring large Excel datasets ▪️ Preparing datasets for dashboards or data analysis ▪️ Building reproducible data cleaning pipelines ▪️ Creating data dictionaries and data quality reports My goal is simple: deliver clean, reliable data that you can confidently use for analysis and decision-making.

Hello, I Have a PhD in Computer science and have been working with MATLAB over the last 12 years. I work on any aspect of computational neuroscience, signal and image processing and mathematical modeling. I am fluent in these toolboxes: Curve Fitting Toolbox Optimization Toolbox Symbolic Math Toolbox Partial Differential Equation Toolbox Signal Processing Toolbox Image Processing Toolbox Simulink Control Design Data Acquisition Toolbox Instrument Control Toolbox Bioinformatics Toolbox MATLAB App Designer Working of various MATLAB project is my professional job and hobby and I am looking forward to work on your projects.