Throughout my career as a biostatistician, I have had the honor of working on numerous high-profile projects at both the national and international levels. My area of expertise centers around the analysis of intricate data sets, allowing me to extract meaningful insights that can inform crucial healthcare decisions. My vast experience in the field has equipped me with the necessary skills to provide invaluable statistical guidance to any organization in need. I take pride in my ability to transform complex data into actionable recommendations that can drive positive outcomes. Areas of Experience ● Statistics, Biostatistics ● Statistical modeling ● Teaching statistics ● Design of surveys ● Machine learning ● Clinical trials ● Big data analysis ● Sample size calculation ● Longitudinal data analysis ● Reviewer for scientific journals ● Small Area Estimation ● Time series analysis ● Multivariate analysis ● Categorical data analysis ● Statistical advisor in post-graduate dissertations ● R, Shiny, RMarkdown, Rstudio, R programming, R debugging ● SPSS, STATA, SAS ● Meta-analysis

Need accurate, high-quality labeled datasets for your computer vision or machine learning model? I'm a Top Rated AI Data Annotation Specialist with hands-on expertise in CVAT, Roboflow, Label Studio, and LabelMe. I help AI teams, ML startups, computer vision researchers, and data operations teams build clean, accurate, model-ready training datasets and I help B2B businesses generate qualified leads through verified prospect lists. ⭐ 𝗖𝗢𝗥𝗘 𝗦𝗘𝗥𝗩𝗜𝗖𝗘𝗦 ➤ AI DATA ANNOTATION & IMAGE LABELING - Image annotation using CVAT (bounding boxes, polygons, semantic segmentation, keypoint) - Object detection labeling for ML model training - Medical image labeling for healthcare AI datasets - Video frame annotation - Dataset preparation, quality validation, and review - Labeling guidelines documentation - Tools: CVAT, Roboflow, Label Studio, LabelMe, Supervisely Recent AI annotation projects: 1,072+ hours labeling vehicle/RV images for Camping World, medical image labeling for a Roboflow client, large-scale object detection datasets. Both projects received "Endorsed by client" badges. ➤ B2B LEAD GENERATION & PROSPECT LIST BUILDING - Verified B2B contact lists (name, email, phone, LinkedIn, company) - Decision-maker research (CEO, founder, director, VP) - LinkedIn Sales Navigator prospecting - Apollo, Hunter, ZoomInfo lead sourcing - Email verification (NeverBounce, ZeroBounce, Bouncer) - Industries: SaaS, eCommerce, real estate, healthcare, agencies, professional services ➤ DATA ENTRY, WEB RESEARCH & CRM MANAGEMENT - Spreadsheet data entry (Excel, Google Sheets) - CRM data entry, cleaning, and migration (HubSpot, Salesforce, GoHighLevel, Zoho, Airtable, ClickUp) - PDF to Excel / CSV conversion - Web research and company data collection - Real estate data research (Zillow, Redfin, Realtor) - Database management and contact enrichment 𝗪𝗛𝗬 𝗖𝗟𝗜𝗘𝗡𝗧𝗦 𝗪𝗢𝗥𝗞 𝗪𝗜𝗧𝗛 𝗠𝗘 - Top Rated on Upwork with consistent 5-star reviews - IBM Lead Generation & Data Entry Specialist Certified - DeepLearning AI Data Annotation & Computer Vision Certified - 1,500+ hours of CVAT annotation experience - 98%+ accuracy on every project - Clear daily communication, fast turnaround, no missed deadlines - Long-term collaboration and most clients work with me for 6+ months ⭐ 𝗛𝗢𝗪 𝗜 𝗪𝗢𝗥𝗞 1. I review your project requirements, dataset, and quality guidelines 2. I produce a small sample first so you can verify accuracy before scaling 3. I work in batches with regular quality checkpoints 4. I deliver structured, error-free output ready for immediate use 5. Final QA review before submission ⭐ 𝗧𝗢𝗢𝗟𝗦 𝗜 𝗨𝗦𝗘 𝗗𝗔𝗜𝗟𝗬 ➤ Annotation: CVAT, Roboflow, Label Studio, LabelMe, Supervisely ➤ Lead generation: LinkedIn Sales Navigator, Apollo, Hunter, Snov, ZoomInfo ➤ Data: Microsoft Excel (advanced), Google Sheets, Airtable ➤ CRM: HubSpot, Salesforce, GoHighLevel, Zoho, ClickUp, Notion ➤ Email verification: NeverBounce, ZeroBounce, Bouncer ➤ Real estate: Zillow, Redfin, Realtor, Facebook Marketplace If you need an accurate, ai data annotation specialist for your AI dataset or a reliable lead generation specialist for your B2B outreach, send me a message describing your project. I respond within a few hours and offer a free sample for first-time clients. Thank you for visiting my profile. Cheers Ayesha

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.

I’m a bioinformatics specialist with deep expertise in multi-omics, advanced statistics, and data-driven computational biology. I build end-to-end analysis pipelines, machine-learning workflows, and full-stack analytical applications tailored for research and biotech. My core strengths include: • Multi-omics analysis: bulk & single-cell RNA-seq, ATAC-seq, proteomics, lipidomics, metabolomics, cytokine panels, and integrative multi-omics modeling (MOFA, DIABLO, WGCNA, chromVAR, network analysis). • Advanced statistics & computational methods: differential analysis, mixed effects models, longitudinal designs, batch correction, feature selection, Bayesian modeling, and high-dimensional inference. • Machine learning & AI: supervised and unsupervised learning, classification, clustering, feature engineering, model tuning, and interpretable ML for biological and clinical datasets. • Python and R engineering: reproducible pipelines, notebooks, renv/venv environments, optimized code, data wrangling, visualization, and automation (tidyverse, DESeq2, Seurat, limma, sklearn, PyTorch-light workflows). • Biostatistics & data science: rigorous data QC, exploratory analysis, normalization, imputation, effect estimation, and publication-ready figures. • Full-stack app design & dashboards: R Shiny, Plotly Dash, Streamlit, FastAPI back ends, and modern front-end development using React, Vite, Tailwind, component libraries, and API-driven architectures. I build clean, fast, and interactive tools for analytics, reporting, and client use. I deliver production-ready, reproducible, and well-documented workflows suitable for research labs, startups, and clinical projects. At the tail end of my skill set, I also support small-scale computational chemistry tasks including virtual screening, molecular dynamics, and light drug-design workflows, when relevant to biological findings. If you need a bioinformatics expert who merges strong statistical foundations, robust coding, full-stack development, and deep domain knowledge, I can take your project from raw data to polished, actionable insight.

With over 7 years of experience as a Data Scientist, I hold a Master of Science in Computer Science (MSCS) degree and have worked on a diverse range of projects. My expertise includes developing databases in various frameworks, designing and developing websites, creating web scrapers/snipers, and writing research / scientific papers in IEEE, APA MLA and Chicago styles & formatting using LaTex and other tools. I am proficient in Data Science- Machine Learning, Deep Learning & AI techniques and have extensive experience in Python, R, SPSS, Palisade, Tableau, Power BI, and Microsoft Excel (Macro and VBA Programming). In addition to my technical skills, I also specialize in books layout designing, formatting, and typesetting using Adobe InDesign and MS Word. As a provider of professional services, I offer a wide range of skills to assist with data analysis and interpretation, web scraper/sniper development in Python and Excel, advanced Excel and VBA macros, IBM SPSS & Modeler, R Language, Python projects, book layout design and formatting, book typesetting for Amazon KDP, website and database development, MS Access projects, efficient data entry, creative writing, mathematics, statistics, computer science projects and assignments, Research Papers, Research Articles, Dissertations, Theses, Tableau projects, Palisade Decision Tools projects, Google Sheets, Google Docs, and more. I am dedicated to providing high-quality work and ensuring that each project is delivered on time and to the highest standards. I have the ability to analyze and interpret complex datasets using R, Python, SPSS, Tableau, Stata & Excel , draw insightful conclusions, and produce detailed reports that are tailored to your specific requirements. I am always willing to provide a sample prior to hiring to ensure that my services align with your needs. Do not hesitate to discuss/formulate your Research Paper/Proposal, Thesis and Dissertation. If you are looking for a reliable and professional Data Scientist who can provide you with a range of technical and creative services, please feel free to contact me at any time.

Most businesses are sitting on valuable data, they just don't know how to use it yet. I help founders, managers, and growing businesses turn that data into clear decisions, accurate predictions, and real results. I work with businesses to solve practical problems using data: forecasting outcomes, understanding customer behavior, automating repetitive analysis, and building intelligent systems that save time and reduce guesswork. - Turning messy, overwhelming data into clear, actionable insights - Building prediction models with 87%+ accuracy that help you plan ahead with confidence - Automating manual reporting and analysis to save your team hours - Identifying patterns in customer data to support smarter business decisions - Delivering results you can actually act on, not just technical reports A few things I'm proud of: - ⭐ 100% Job Success Score across all completed projects on Upwork - 🎯 Built prediction models achieving 87% accuracy on real-world data - ✅ 5-star reviews on every completed client engagement across multiple platforms - 📊 Delivered solutions across healthcare, education, and business analytics I focus on practical solutions, not just theory. Every project I take on is built around your specific business goals and designed to fit into how your team already works, no unnecessary complexity, just results. If you're ready to make your data work for you, I'd love to hear about your project. Let's talk.

Education: Master's in Data Analytics (in progress) - Harvard University Bachelor's Degree in Neuroscience and Data Analytics - Kent State University Certifications: Project Management Certification Business Analytics Certification - IBM Professional Summary: I am a seasoned data science professional with a diverse scientific research and business analytics background. With over ten years of experience as a project manager and business analyst, I have a proven track record of managing complex projects and delivering data-driven insights. My educational foundation in neuroscience and data analytics, combined with my ongoing master's studies at Harvard equips me with the skills to tackle challenging data problems and develop innovative solutions. Technical Skills: Programming Languages: Python, R, C++, JavaScript (JS), React Data Analysis and Modeling: Pandas, AI Modeling, Statistical Analysis Data Visualization: Tableau, Power BI, Looker Databases: SQL Business Tools: Excel, VBA, Google Sheets Project Management: Agile methodologies, Scrum Certifications, Project planning and execution

🚀 🥇 Expert-Vetted Talent | Principal AI/ML | GenAI, LLM, RAG, Fine-tuning, Cloud(Azure, AWS, GCP) | Healthcare & FinTech I transform complex business challenges into cutting-edge AI solutions. With 15+ years leading AI/ML initiatives and a Doctor of Philosophy in Machine Learning from Iowa State University, Master's in Computational Neuroscience from UC San Diego, I deliver production-ready GenAI systems that drive measurable ROI. ✅ What I Offer: • GenAI & LLM Solutions: Custom GPT fine-tuning, prompt engineering, multi-agent systems, RAG architectures • Production AI Systems: End-to-end ML pipelines, MLOps, model deployment at enterprise scale • Healthcare AI: Clinical trial automation, medical document generation, HIPAA-compliant solutions • AI Strategy & Architecture: Technical roadmapping, proof-of-concepts, AI transformation leadership • Full-Stack AI Development: Python, PyTorch, TensorFlow, AWS, GCP, Azure, Vector DBs, Kubernetes 🎯 Recent Achievements: • Built AI system processing 100K+ clinical trials for pharma enterprise, enabling intelligent Q&A and benchmarking • Developed GenAI platform generating 100+ page clinical trial protocols with 95% accuracy • Led 60+ engineer team delivering first commercial AI healthcare product at ResMed (NYSE: RMD) • Created $1M+ revenue AI products in first year at multiple startups • Secured $3.5M+ funding through strategic AI product development 💼 Industry Expertise: • Healthcare/Pharma: Clinical trials, EHR integration, medical AI, FDA-regulated software • FinTech: Real-time fraud detection, risk assessment, payment processing systems • Enterprise SaaS: Multi-tenant architectures, API development, scalable AI services • Retail/E-commerce: Recommendation engines, inventory optimization, customer analytics 🔧 Technical Stack: AI/ML: GPT-4/5, Claude, Llama, BERT, Transformers, Fine-tuning, RLHF, RAG, Vector Databases Languages: Python, JavaScript, TypeScript, Java, Ruby, Go, SQL Frameworks: PyTorch, TensorFlow, Hugging Face, LangChain, Scikit-learn, FastAPI Cloud/DevOps: AWS (SageMaker, Lambda, ECS), GCP (Vertex AI), Azure, Kubernetes, Docker Databases: PostgreSQL, MongoDB, Redis, Elasticsearch, Pinecone, Weaviate, ChromaDB Tools: MLflow, Weights & Biases, Git, CI/CD, Jupyter, Streamlit 📊 Quantifiable Impact: • 73% engagement increase for nonprofit youth chatbot with emotional intelligence • 94% accuracy in crisis detection for at-risk populations • 10X growth in subscriber base through AI-driven optimizations • 100+ pages of medical documents generated with regulatory compliance • $100K+/month revenue generated through ML-powered ad targeting 🎓 Credentials: • M.Sci. Computational Neuroscience - UC San Diego • IBM Certified: RAG and Agentic AI • Deep Learning Specialization - Coursera • Published researcher in AI/ML (Psychological Science, ICSE) • 4 provisional patents in AI/computer vision 🌟 What Sets Me Apart: Unlike typical developers, I combine deep technical expertise with business acumen from leading multiple successful startups. I don't just build models – I architect complete AI ecosystems that scale, comply with regulations, and deliver measurable business value. My neuroscience background provides unique insights into building truly intelligent systems that understand human behavior and needs. 📋 Services I Provide: • Custom LLM fine-tuning and deployment • RAG system architecture and implementation • Multi-agent AI system development • Healthcare AI and medical document automation • AI-powered data extraction and processing • Computer vision and image analysis solutions • Production ML pipeline development • AI strategy consulting and roadmapping • Technical due diligence for AI projects • Team mentoring and AI capability building 🤝 Working With Me: I pride myself on clear communication, translating complex AI concepts into actionable business strategies. Whether you need a production-ready AI system, strategic guidance, or technical leadership, I deliver solutions that exceed expectations. I'm available for both short-term projects and long-term engagements. Ready to transform your business with AI? Let's discuss how I can help you leverage the latest in GenAI, LLMs, and machine learning to achieve your goals. Keywords: Artificial Intelligence, Machine Learning, Deep Learning, GenAI, Generative AI, ChatGPT, GPT-4, GPT-5, Large Language Models, LLM, Fine-tuning, RAG, Retrieval Augmented Generation, RLHF, Vector Database, Embeddings, Transformers, NLP, Computer Vision, PyTorch, TensorFlow, Python, AWS, GCP, Azure, Healthcare AI, FinTech AI, MLOps, AI Architecture, Prompt Engineering, LangChain, Hugging Face

I help founders and teams turn AI ideas into working products in weeks, not months. Instead of spending months experimenting with LLMs, tools, and architectures, I design and build MVPs that actually work in real business conditions. Typical results: – Working AI MVP in 2–4 weeks – Clear, scalable architecture (not a demo that breaks later) – Reduced risk before investing into full development 💡 What I do best – Turn raw AI ideas into working MVPs – Design production-ready AI architectures – Build agentic AI systems (multi-agent workflows, automation) – Develop RAG systems & knowledge-based AI – Integrate LLMs into existing products and workflows I focus on execution and outcomes — not just code. 🧠 Who I work with – Startups validating AI ideas – Founders building MVPs for investors or internal use – Teams внедряющие AI в существующие продукты – Businesses looking to automate workflows with AI 💬 Not sure where to start? I offer short consultation calls where we: – break down your idea – define architecture – identify fastest path to MVP Most of my projects start this way. ⚙️ Typical engagement – AI MVP / Proof of Concept: $1,500 – $5,000+ – Architecture & planning: via consultation – Ongoing development: after MVP validation Most of my work is fixed-scope (MVPs, PoCs). If you need someone who can not only build, but also think through your AI product — let’s talk.

I build credit scoring and loan default prediction models that help lenders approve more good borrowers, cut losses, and make underwriting decisions they can stand behind. I work in Python, and I focus on models that go into production not prototypes that get shelved. Before Upwork, I spent three years as an in-house Data Scientist at Ameriabank, one of Armenia's largest banks, building forecasting and risk models used in live operations. That experience shapes how I work: I care as much about how a model holds up over time and under review as I do about its accuracy on day one. I usually work with: — Fintech and alternative/SME lenders building or improving credit decisioning — Banks and credit unions that need scorecards built, rebuilt, or validated — Risk and analytics teams that need an extra pair of expert hands What I typically deliver: — Credit scoring and application/behavioral scorecards — Loan default prediction and PD models — PD / LGD / EAD modeling and IFRS 9 ECL work [ADD REAL PROJECT DETAIL] — Model validation, monitoring, and clear documentation — Risk segmentation and lending portfolio analytics — Fraud detection models for lending — Risk dashboards and SQL/Python pipelines that replace fragile Excel reporting Tools I rely on: Python (pandas, scikit-learn, statsmodels), XGBoost, LightGBM, logistic regression, and SQL, with FastAPI and Docker when something needs to be deployed. A few honest signals: Top Rated Plus, 100% Job Success, and $40K+ earned on Upwork. On a recent credit scoring project the client's feedback was simply "Highly recommended," and another noted my "amazing knowledge in ML and DS." [ADD REAL METRIC e.g. Gini/AUC, default-rate reduction, or approval-rate lift] How I work is straightforward: a short scoping call, then a clear plan with an honest estimate, then iterative delivery with documentation your team and any reviewer can actually follow. If something isn't the right fit for me, I'll tell you. Send a short message with your problem, your data, and your timeline. I usually reply within a few hours. The first 15-minute scoping call is free.