I'm a retired academic with 30 years' experience in life-science research, education and publishing. So I understand your problem, as I've spent decades helping people just like YOU. Here’s how I can help with your scientific or medical project: –Literature searches, systematic reviews and meta-analyses –Experimental design and sample size estimation –Descriptive statistics and data visualization –Advanced multivariate modeling and hypothesis testing –Technical illustrations, graphical abstracts and flowcharts –Content editing for theses, articles, grants, fellowship applications and full-length books –Copy editing for grammar, logic, brevity, flow and adherence to academic citation styles –Fact-checking sources to root out false claims and hallucinated references –General coaching, strategizing and career development for life-science researchers at any career stage, whether you are a prospective graduate student, PhD candidate, postdoc or tenured faculty member. Everyone needs a helping hand from time to time. I can start from scratch or work with YOUR existing materials. I’m skilled with tools like PubMed, EndNote, Zotero, LaTeX, Prism, R Studio, Photoshop and Illustrator. For more advanced bioinformatics tasks, I use Expasy, GEO, NCBI, UniProt, and genome browsers like Ensembl and UCSC. As my postdoc advisor once said, "You can explain it to 100 people one at a time, or you can write a great set of instructions." So if you need a manual, protocol, or Standard Operating Procedure (SOP), I can help with that too. Using my deep experience writing clear instructions for labs and classrooms, I can cover every topic: experimental workflow, equipment maintenance, how-to guides or whatever might be your critical need. A little more about ME: I have a BA from Yale and a PhD from the University of Chicago. I led an NIH-funded research lab for 23 years and published 25+ peer-reviewed journal articles. I’ve reviewed over 50 scientific manuscripts and scored grants for the NIH, NSF, and DOD. As a full Professor I taught cell biology, histology, human development, ecology/evolution, epidemiology and statistics at university. In 2024 I semi-retired by starting my own scientific consulting company, offering fractional services to principal investigators, healthcare providers, biotech startups, scientific societies, health- and environment-focused non-profits, and independent entrepreneurs. And let's end with US. Because together, we might be unstoppable.

I design and deploy production-grade AI systems: from data pipelines to scalable LLM applications. With 7+ years in ML/AI, I specialize in LLM systems, RAG architectures, and MLOps, helping teams move from prototype to reliable, scalable AI in production. My focus is not just building models but ensuring they perform under real-world constraints: latency, cost, hallucination control, and continuous improvement. What I build -End-to-end ML pipelines: ingestion, training, deployment, monitoring -RAG systems with proper evaluation harnesses (retrieval quality, regression catching) -LLM observability: prompt versioning, tracing, feedback loops -Scalable inference (real-time and batch) with GPU optimization -CI/CD for ML with MLflow, Airflow, automated retraining -AI agents with guardrails and reliable tool use Selected results -Fraud detection pipeline (real-time inference) → ~$890K in losses prevented -Forecasting system using ensemble models → 31% accuracy lift over baseline -Multiple LLM products running in production under client SLAs -$3M+ in measurable business impact across deployments (happy to walk through specifics on a call) Stack -Languages/frameworks: Python, FastAPI -LLMs: OpenAI, Anthropic, HuggingFace, LangChain, LlamaIndex -Vector DBs: Pinecone, Weaviate, ChromaDB, FAISS -Infra: AWS, Docker, Supabase, MLflow, Airflow How I work -Replies in 0–4 hours on business days -Production-grade code with tests and docs, not throwaway notebooks -Clear scope, direct communication, focused on business outcomes -Revenue, automation, speed-to-market — that's the scoreboard Let's turn your AI idea into a working product. Send an invite with your project details and I'll get back to you with a clear plan.

⭐⭐⭐⭐⭐ As a data scientist with a programming background, I have 5 years of experience working as a data scientist and analyst, I am passionate about using data to solve complex business problems. I have a proven track record of delivering valuable insights and driving business decisions through data analysis, predictive modeling, and machine learning. My skills and expertise include Python, R, Python libraries, Anaconda, Machine Learning, PowerBI, SQL, Excel, Google Sheets, Data Studio, and Tableau. I am experienced in working with large datasets and using statistical analysis to draw actionable insights. I am also skilled in data visualization, ensuring that my reports and visualizations are clear and informative. I have worked on a wide range of projects. I am a collaborative team player with excellent written and verbal communication skills. I understand the importance of meeting deadlines and ensuring client satisfaction, and I am committed to delivering projects on time and within budget. I aim to use my skills and experience to help companies optimize their operations, reduce costs, and increase revenue. I understand the value of actionable insights derived from data, and I can help your company gain valuable insights and drive your business forward, and skyrocket your sales! If you are looking for a data scientist who can deliver high-quality results and help you make informed decisions based on your data, please don't hesitate to contact me. I am excited about the opportunity to work with you and help your company succeed

Driven by a deep-seated passion for leveraging data to enact positive change, I am a dedicated PhD candidate specializing in Machine Learning applied to climate sciences. Beyond mere data analysis, my focus lies in utilizing data as a catalyst for creating significant societal impact. With a solid foundation in both theory and application, I strive to bring a unique perspective to the field of data science. Key Skills: - Machine Learning & Climate Sciences: My ongoing PhD research focuses on the application of Machine Learning techniques to climate sciences, with a clear objective: to unlock insights that can inform policies and practices aimed at mitigating the impacts of climate change. - Spatio-Temporal Data Analysis: I specialize in navigating the complexities of spatio-temporal data, mining it for valuable insights that can guide informed decision-making and drive tangible outcomes for communities and ecosystems. - Expertise in Causal Inference: I am deeply invested in the application of causal inference methodologies to climate sciences, recognizing their potential to elucidate causal relationships and inform interventions that have real-world implications. - Medical Applications: My diverse background extends beyond climate sciences into medical imaging and epidemiology, where I am passionate about leveraging data to improve healthcare outcomes and enhance the well-being of individuals and communities. If you share my passion for using data science as a catalyst for positive change, I'd love to collaborate with you. Together, we can harness the power of data to tackle some of society's most pressing challenges.

Hi! I’m a 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗘𝘅𝗽𝗲𝗿𝘁 with 4+ years of experience helping companies turn raw data into clear predictions, insights, and measurable results. I work across 𝗲-𝗰𝗼𝗺𝗺𝗲𝗿𝗰𝗲, 𝗳𝗶𝗻𝗮𝗻𝗰𝗲, 𝘀𝗽𝗼𝗿𝘁𝘀 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 (𝗡𝗕𝗔 & 𝗡𝗙𝗟), 𝗮𝗻𝗱 𝘀𝗼𝗰𝗶𝗮𝗹 𝗶𝗺𝗽𝗮𝗰𝘁, delivering models that actually perform in the real world. 𝗔 𝗿𝗲𝗰𝗲𝗻𝘁 𝗰𝗹𝗶𝗲𝗻𝘁 𝘀𝗮𝗶𝗱 𝗶𝘁 𝗯𝗲𝘀𝘁: ⭐⭐⭐⭐⭐ “I've worked with Ahmed on a number of projects and he continues to do an excellent job. The project was completed successfully and another one is already being started. He is a great freelancer to work with” 🚀 𝗪𝗵𝗮𝘁 𝗜 𝗛𝗲𝗹𝗽 𝗪𝗶𝘁𝗵 • Predictive modeling & forecasting • Sports analytics (NBA/NFL DFS) • NLP & text classification • Clustering, segmentation & ML pipelines • Data analytics & dashboarding I focus on solutions that are practical, accurate, and actionable - not academic experiments. 📊 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗧𝗵𝗮𝘁 𝗠𝗮𝘁𝘁𝗲𝗿𝘀 • Built forecasting models with 85%+ accuracy • Increased sales by 50% through smarter data pipelines • Saved $150,000/year with simulation-based optimization • Automated processes that cut payment cycles from 90 to 30 days I’ve also worked with UNDP, Save the Children, and Omdena, applying ML to global connectivity, solar adoption, and online child safety. 🤝 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗛𝗶𝗿𝗲 𝗠𝗲 • Fast, reliable communication • Business-minded problem solving • Models that deliver real impact • A versatile skillset across industries 🛠 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 Python • SQL • Pandas • NumPy • Scikit-Learn • TensorFlow • NLP • BigQuery • Looker Studio • Google Cloud • Tableau • ML pipelines • Forecasting • Clustering • CV models. 📞 𝗥𝗲𝗮𝗱𝘆 𝘁𝗼 𝘂𝗻𝗹𝗼𝗰𝗸 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝗳𝗿𝗼𝗺 𝘆𝗼𝘂𝗿 𝗱𝗮𝘁𝗮? Send me a message - I’d love to help you turn your dataset into something valuable.

Finally, an AI expert you can truly rely on! No fluff, just real values. With years of hands-on experience in developing, deploying, and optimizing AI solutions, I specialize in MLOps, Large Language Models (LLMs), and scalable AI infrastructure. My expertise spans end-to-end machine learning workflows, from model training to deployment, monitoring, and scaling in production. I have successfully built and managed LLM-powered applications, ensuring efficiency, reliability, and scalability using modern MLOps practices. My work has driven innovation across healthcare, academia, and e-commerce, automating complex processes and enabling intelligent decision-making. 🔥 Core Expertise MLOps & AI Infrastructure: ✅ Model Deployment: FastAPI, Flask, Docker, Kubernetes, AWS Lambda ✅ Model Monitoring & Optimization: MLflow, Weights & Biases, Great Expectations, CometML ✅ CI/CD for ML: GitHub Actions, DVC, Terraform, CloudFormation ✅ Scalable Compute: AWS SageMaker, GCP Vertex AI, Azure Machine Learning ✅ Vector Databases: Pinecone, ChromaDB, Weaviate, FAISS ✅ Data Pipelines: Apache Kafka, Redpanda, Airflow, Prefect LLMs & Generative AI: ✅ LLM Fine-Tuning: BERT, GPT (OpenAI, Llama, Mistral, Claude), LoRA, QLoRA ✅ Retrieval-Augmented Generation (RAG): LangChain, Haystack, Milvus ✅ Prompt Engineering & Optimization ✅ Open-Source LLMs: LlamaIndex, Hugging Face Transformers ✅ AI Assistants: Chatbot Development, Multi-modal LLMs Machine Learning & Deep Learning: ✅ NLP: Named Entity Recognition (NER), Text Classification, Speech Recognition ✅ Computer Vision: Object Detection (YOLO), Image Segmentation, OCR (Tesseract, PaddleOCR) ✅ Supervised & Unsupervised Learning: XGBoost, Random Forest, SVM, KNN ✅ Time-Series Forecasting & Anomaly Detection Cloud & DevOps for AI: ✅ AWS (S3, Lambda, SageMaker, Bedrock), GCP (Vertex AI, BigQuery) ✅ Serverless AI Deployments & Microservices ✅ SQL & NoSQL Databases: PostgreSQL, MySQL, MongoDB 🔑 Why Work With Me? ✅ Production-Ready AI – I design and implement scalable ML pipelines that ensure smooth integration into real-world applications. ✅ MLOps & AI Deployment – From model versioning to automated retraining, I handle the full ML lifecycle. ✅ LLM Optimization & Fine-Tuning – I help businesses integrate custom AI assistants using the latest LLM research. ✅ Robust & Scalable Code – My solutions are efficient, well-documented, and optimized for long-term maintainability. ✅ Transparent & Effective Communication – I collaborate closely with clients, ensuring alignment at every stage of development.

Most companies sitting on years of operational data still can't answer their most important questions: What will fail next? Where are we losing money? What should we do differently? I build the AI and ML systems that answer those questions — reliably, in production, not just in demos. I'm a PhD-trained Senior Applied AI & Data Scientist with 10+ years of experience translating messy, fragmented, domain-specific data into working decision-support systems. My background spans industrial operations, healthcare, agriculture, retail, and oil & gas — environments where the data is imperfect, the stakes are real, and generic solutions don't work. I have delivered production-ready AI/ML systems across several domains: - Retail security: anomaly-detection logic for security gate systems in large retail environments - Agriculture: greenhouse sensor analytics and ML-based decision-support for tomato production optimization - Oil & gas: production analytics, decline-curve interpretation, geospatial analysis, and forecasting dashboards - Healthcare: claims analytics, patient population classification, risk grouping, and payment workflow automation - Travel & pricing: recommendation systems, demand analysis, and personalized pricing automation - Research: peer-reviewed AI/ML and NLP publications, university-level collaboration What I typically build: - Predictive models and forecasting systems for operational and business decisions - Anomaly detection and risk scoring pipelines - Time-series and sensor data analysis - Explainable AI workflows with interpretable outputs for non-technical stakeholders - End-to-end ML proof-of-concepts and production-ready solutions for startups and enterprise teams I work best with clients who have a real business or engineering problem and need someone who can navigate unclear requirements, imperfect data, and domain complexity — and deliver something that actually works.

I am a Machine Learning Engineer and Data Scientist with 5+ years of experience building intelligent systems that transform raw data into measurable business results. My expertise spans Machine Learning, Deep Learning, Predictive Analytics, Data Science, MLOps, and AI-powered automation solutions. I specialize in designing and deploying end-to-end AI systems from data collection and preprocessing to model training, optimization, API deployment, and cloud-based production environments. Key Strengths & Expertise: 🦾 Machine Learning & Predictive Analytics using Scikit-learn, TensorFlow, PyTorch, XGBoost, and LightGBM 🦾 Deep Learning solutions for classification, forecasting, recommendation systems, and intelligent automation 🦾 Data Science & Analytics with Pandas, NumPy, SQL, and advanced statistical modeling 🦾 Time Series Forecasting for sales prediction, demand forecasting, customer behavior analysis, and business intelligence 🦾 NLP applications including text classification, sentiment analysis, chatbot development, and LLM integrations 🦾 End-to-End Data Pipelines for automated data collection, transformation, validation, and monitoring 🦾 Production Deployment using FastAPI, Docker, AWS, Google Cloud Platform (GCP), and scalable cloud infrastructure 🦾 MLOps implementation including model versioning, monitoring, CI/CD pipelines, and automated retraining workflows 🦾 Database and Data Engineering experience with PostgreSQL, MySQL, MongoDB, APIs, and cloud data platforms 🦾 Full-stack AI integrations connecting machine learning models with web applications and business systems Technical Stack: Python • Scikit-learn • TensorFlow • PyTorch • FastAPI • Docker • AWS • Google Cloud • Pandas • NumPy • SQL • Git • Jupyter • MLflow What Sets Me Apart: ✅ I don't just build models—I deliver production-ready AI solutions. ✅ I focus on business outcomes, not research experiments. ✅ I stay involved until the solution is deployed, tested, optimized, and generating value. ✅ I communicate clearly and provide practical recommendations throughout the project lifecycle. Notable Project Experience: 🏆 Developed machine learning systems for predictive analytics and business forecasting 🏆 Built automated data processing pipelines handling large-scale datasets 🏆 Deployed scalable AI APIs for real-time predictions and business applications 🏆 Designed cloud-based machine learning infrastructure for reliable production performance 🏆 Delivered custom data science solutions across multiple industries and use cases Education: 🎓 Bachelor of Science in Computer Systems Engineering Whether you need a predictive model, AI-powered automation, forecasting system, data pipeline, or a complete machine learning solution, I am committed to delivering results that create real business impact. #datascience #machinelearning #python 📩 Let's discuss your project and turn your data into actionable insights.

I'm a Data Analyst and Machine Learning Specialist with hands-on experience in delivering AI-powered solutions and actionable insights. I specialize in data analytics, web scraping, and predictive modeling, helping businesses make smarter, data-driven decisions. ✅ Skilled in Python, R, SQL, Excel, Google Sheet, Power BI, and statistical analysis ✅ Expert in web scraping and automation (BeautifulSoup, Selenium, Scrapy) ✅ End-to-end solutions: from data collection to insights and visualization ✅ Clean code, scalable workflows, and strong data ethics Whether you need a custom dashboard, a machine learning model, or automated data scraping from websites I can help. Clear communication, timely delivery, and client satisfaction are my top priorities. Let's connect and get started on your next data project!

I'm a data scientist with experiences on middle and big financial industries at my country. I have experience with R, Python, Matlab, SPSS and other software for data analysis, financial modeling, and machine learning application's.