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**************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. 🔍💻🧬

I am a PhD-qualified Data Analyst with a robust background in mathematics, specializing in data-driven insights, statistical analysis, and predictive modeling. My advanced education has provided me with a deep understanding of analytical methodologies, data visualization, and problem-solving techniques that enable me to tackle complex datasets and translate them into actionable business insights. With a PhD in Applied Mathematics .I have developed a strong foundation in statistical modeling, machine learning algorithms, and advanced data analysis. I leverage these skills to help businesses optimize processes, improve decision-making, and forecast future trends. I am proficient in data cleaning, exploratory data analysis, visualization, and statistical testing, using tools like SQL, Excel, Python, and Tableau. I also have experience in providing detailed, clear reports and visualizations that are easy for stakeholders to understand and act upon. Skills: Data Analysis & Statistical Modeling Mathematical Modeling & Algorithm Development Advanced Data Visualization (Tableau, Power BI) SQL, Python, R, Excel Predictive Analytics & Machine Learning (Basic) Data Cleaning, Preprocessing & Transformation Report Writing & Dashboard Creation Data Interpretation & Insights Generation Experience: Over the course of my academic journey and professional career, I have analyzed large datasets, applied advanced statistical models, and delivered precise insights for various sectors. I have experience with both structured and unstructured data, and my strong problem-solving abilities allow me to provide well-founded recommendations that drive business success. Why Choose Me: PhD-level expertise in mathematical and statistical analysis Advanced problem-solving skills, with an emphasis on mathematical rigor Proficient in using cutting-edge tools to analyze and visualize data Clear, actionable insights that support data-driven decision-making Strong communication skills, delivering easy-to-understand reports and dashboards Let’s collaborate to unlock the full potential of your data and make informed, data-backed decisions! ⚠️𝐃𝐢𝐬𝐜𝐥𝐚𝐢𝐦𝐞𝐫: Please note that I offer tutoring, proofreading, and editing services for educational tasks that comply with Upwork's Terms and Conditions. I strictly adhere to the policy that students' assignments are 𝐒𝐓𝐑𝐈𝐂𝐓𝐋𝐘 𝐏𝐑𝐎𝐇𝐈𝐁𝐈𝐓𝐄𝐃!

🎁𝗜 𝘄𝗶𝗹𝗹 𝘀𝘂𝗴𝗴𝗲𝘀𝘁 𝘁𝗵𝗲 𝗯𝗲𝘀𝘁 𝗔𝗜 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝗳𝗼𝗿 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗯𝗲𝗳𝗼𝗿𝗲 𝘆𝗼𝘂 𝗵𝗶𝗿𝗲 𝗺𝗲. ➤ 𝗖𝗹𝗶𝗲𝗻𝘁 𝗣𝗮𝗶𝗻 𝗣𝗼𝗶𝗻𝘁 Many clients struggle with: ✔Slow or inaccurate AI systems ✔No proper RAG implementation (bad answers from LLMs) ✔High cloud costs on AWS or other platforms ✔Poor integration between AI and web/mobile apps ✔Hard-to-scale AI agents and voice systems ✔This leads to lost revenue, slow decisions, and poor visibility. ➤ 𝗠𝘆 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻 I solve these problems by building production-ready AI/ML systems that are fast, scalable, and cost-efficient. I am a Top Rated AI/Full Stack Engineer with experience, specializing in LLMs, AI Agents, RAG pipelines, and cloud deployments (AWS Bedrock, SageMaker). ➤ 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲𝘀 ✓ LLM Applications (GPT-4o, LLaMA 3, Mistral, Claude) ✓ RAG Systems (LangChain, LlamaIndex, FAISS, Pinecone, Qdrant) ✓ AI Agents (CrewAI, AutoGen, LangGraph) ✓ Voice AI (Polly, Deepgram, Whisper, Rasa) ✓ LLM Fine-tuning (LoRA, QLoRA, PEFT, RLHF, DPO) ✓ AI Infrastructure (AWS, Docker, Kubernetes, Serverless) ➤ 𝗦𝗸𝗶𝗹𝗹𝘀 ✓ Python, Node.js, TypeScript, FastAPI, Django, Flask ✓ React, Next.js, Vue.js, React Native ✓ REST APIs, GraphQL, Microservices ✓ Vector Databases & Embeddings ✓ Prompt Engineering & AI Workflows ➤ 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 ✓ AI Chatbots & AI Assistants ✓ RAG-based Knowledge Systems ✓ Voice AI Agents ✓ Custom LLM Integration ✓ AI SaaS Development ✓ Full Stack Web Applications ➤ 𝗪𝗼𝗿𝗸𝗶𝗻𝗴 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 ✓ 8+ Years in Full Stack Development ✓ 80+ Projects Delivered Successfully ✓ Enterprise AI Integrations ✓ AWS Certified Developer ✓ Production-grade AI Systems for startups & businesses ➤ 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 ✓ SaaS ✓ FinTech ✓ Healthcare AI ✓ E-commerce ✓ Automation & AI Agents ➤ 𝗗𝗼𝗺𝗮𝗶𝗻𝘀 ✓ Generative AI ✓ NLP & LLM Systems ✓ Cloud AI Deployment ✓ Automation Systems ✓ Data-driven Applications ➤ 𝗧𝗼𝗼𝗹𝘀 ✓ AWS (Bedrock, Lambda, S3, EC2, SageMaker) ✓ LangChain, LlamaIndex ✓ HuggingFace Transformers ✓ Docker, Kubernetes ✓ Pinecone, FAISS, ChromaDB, Qdrant ✓ vLLM, TensorRT-LLM If you need a serious AI engineer who can build scalable LLM systems, RAG pipelines, or AI agents, let’s connect. I can turn your idea into a production-ready AI product. 𝗞𝗲𝘆𝘄𝗼𝗿𝗱𝘀 AI engineer, LLM developer, RAG system, AI agents, AWS Bedrock, voice AI, chatbot development, Python developer, Node.js developer, full stack developer, machine learning engineer, generative AI, LangChain, LlamaIndex, GPT integration, OpenAI API, Claude AI, Mistral, LLaMA 3, fine-tuning LLM, LoRA, QLoRA, PEFT, RLHF, DPO, vector database, Pinecone, FAISS, ChromaDB, Qdrant, FastAPI, Django, React, Next.js, TypeScript, Docker, Kubernetes, AI automation, SaaS development, cloud AI, backend development

I help businesses, hospitals, startups, and research teams convert messy operational data into intelligent decision-support systems using Machine Learning, Mathematical Optimization, and Predictive Analytics. My core work includes forecasting, scheduling, resource allocation, clinical/engineering data analysis, AI model development, and optimization dashboards that help clients reduce delays, improve utilization, and make faster data-driven decisions. I specialize in Python-based analytical systems, that do not only analyze data but also support real operational decisions. I combine Operations Research, Machine Learning, Forecasting, Simulation, and Python-based analytics to solve problems related to scheduling, resource allocation, prediction, classification, capacity planning, business intelligence, and system optimization. What I Can Help You With Computational Optimization & Mathematical Modeling I formulate and solve real-world decision problems using linear programming, mixed-integer linear programming, scheduling models, resource allocation models, routing models, and constraint-based optimization. I work with Python, Pyomo, CPLEX logic, CBC solver, MATLAB, GAMS, and Excel-based optimization tools. Healthcare Optimization & Decision Support I have strong experience in healthcare operations research, including operating room scheduling, patient-flow optimization, hospital resource planning, PACU/ICU capacity analysis, staff allocation, and AI-driven healthcare decision-support frameworks. My focus is on improving utilization, reducing delays, and supporting evidence-based operational decisions. Machine Learning & Predictive Analytics I develop supervised machine learning models for regression, classification, forecasting, risk prediction, and performance analysis. My experience includes Random Forest, XGBoost, CatBoost, SVM, Decision Trees, feature engineering, model validation, and performance evaluation using MAE, RMSE, R², accuracy, AUC, F1-score, and other KPIs. Computer Vision & Image-Based AI I work on image preprocessing, feature extraction, computer vision regression/classification, medical image analytics, segmentation-based analysis, and AI-assisted visual decision systems. I can support projects involving OpenCV, Python, image datasets, clinical imaging features, and machine learning-based image interpretation. Forecasting & Business Analytics I help businesses and researchers build forecasting models, demand prediction systems, KPI dashboards, market analytics, operational performance reports, and decision-ready business insights. I can analyze structured data and translate results into clear recommendations for management, research, or client-facing reports. Research, Reports & Technical Documentation Along with modeling and analytics, I prepare professional technical reports, research manuscripts, white papers, methodology sections, literature reviews, results interpretation, and publication-style documentation. I can turn raw datasets, models, and technical concepts into clear, polished, and client-ready deliverables. Tools & Technologies Python | Pyomo | Scikit-learn | Pandas | NumPy | Matplotlib | OpenCV | MATLAB | Simulink | CPLEX | CBC Solver | GAMS | Excel Solver | Machine Learning | Optimization | Forecasting | Predictive Modeling | Computer Vision | Business Analytics | Decision Support Systems Industries I Work With Healthcare Systems Business Operations Supply Chain and Logistics Manufacturing and Production Systems Research and Academic Projects AI/ML-Based Decision Systems Engineering and Technical Consulting My goal is simple: to help you solve complex problems with clear models, reliable data analysis, and practical decision-support outputs. Whether you need an optimization model, a machine learning pipeline, a forecasting system, a computer vision workflow, or a complete analytical report, I can help you build a solution that is technically sound, well-documented, and ready for real-world use. Let’s connect and turn your operational chaos into confident, data-driven decisions using the power of analytics, optimization, and intelligent AI systems.

🔍,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.

I am a professional electrical engineer with experience of 2 years in industrial projects and more than 7 years in educational sector. I am proficient in variety of engineering softwares like MATLAB, proteus, HOMER Pro, etap and Autocad. I have successfully completed many projects on MATLAB including programming, simulink mostly related to microgrids. Optimization is one of my core skill. I have implemented many techniques like linear programming, MILP and also including the metaheauristic like particle swarm optimization, genetic algorithm, bat algorithm, firefly, path finder, bees algorithm, differential evolution etc. I have done GPU computation in MATLAB also. I have also done many projects related to machine learning including the regression, classification and reinforcement learning. Moreover, I have also done many projects on python such as web scrapping, building GUI using Tkinter and PyQt. I have skills in many features of Excel also such as vba, macros, etc. Also, I can handle any machine learning project from basic to advance with perfection in least possible time. I have vast experience in creating apps using GUIDE and App Designer in MATLAB. Other than that I have experience of creating professional articles using LATEX. I can write any kind of article with perfection. I have successfully solved complex optimization problems using PULP, Pyomo, GUROBI, CPLEX. I have full command on using optimization programming language (OPL) in IBM CPLEX studio. I have full command in using ARENA Simulation. I can simulate any kind of operation perfectly using Arena.