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I help businesses transform geospatial data into actionable insights through GIS, spatial analysis, interactive mapping, and Python automation. My work includes: • Parcel and land analysis • Spatial relationship modeling • Drive-time / accessibility analysis • Interactive maps and dashboards • GIS workflow automation • Large-scale geospatial data processing Recently, I developed a GIS automation tool for large-scale parcel and road relationship analysis in Australia. The system supports identifying frontage roads, parcel orientation, corner lots, and multi-road adjacency through rule-based spatial analysis workflows. The solution was designed for practical use in real workflows, and packaged as a standalone application with batch processing and configurable parameters for non-technical users. Core expertise: * Spatial analysis and GIS data processing * Map-based analysis and parcel-level studies * Road-network and accessibility analysis * Python-based geospatial automation * Data preparation for mapping and reporting workflows Tools & technologies: Python, GeoPandas, QGIS, ArcGIS Pro, PostGIS, Pandas, Shapely, Jupyter Notebook I also have experience building more advanced spatial rule-based systems that bridge traditional GIS analysis with emerging geospatial intelligence workflows (GeoAI concepts), especially in structured spatial relationship modeling.

💻 Hi there! I am a Full-Stack Data Engineer, Data Scientist, and AI Integration Specialist with 3+ years of hands-on experience building end-to-end data solutions, intelligent automation systems, scalable web applications, and real-time machine learning products. My journey began in data extraction and web scraping, where I developed advanced scraping systems for e-commerce platforms, business intelligence, market research, and large-scale data collection. Over time, I expanded into full-stack data engineering, cloud deployment, AI integration, and production-grade application development, helping businesses transform raw data into live, intelligent products. I have worked as a Statistics Data Labeler at MathGPT.ai, Data Analyst, Business Analyst, and AI Research Intern at the Key Laboratory of Artificial Intelligence, OPTICS & Electronics (iOPEN), Xi’an, China. My background combines academic research, software engineering, machine learning, and business-focused problem-solving. Today, I specialize in building complete data ecosystems from research and data acquisition to automated pipelines, cloud infrastructure, databases, web applications, AI agents, and real-time analytics platforms. 🚀 What I Offer 🌐 Data Extraction & Web Scraping Advanced web scraping and data extraction E-commerce scraping (variants, pricing, reviews, shipping, specifications) JavaScript-heavy website scraping API integration and reverse-engineering Large-scale crawling and data collection systems Lead generation and market intelligence Automated data acquisition pipelines ⚙️ Data Engineering & Automation End-to-end ETL/ELT pipeline development Automated data workflows and scheduling PostgreSQL database design and optimization Real-time data processing systems Data warehousing and migration Cloud-based data infrastructure Workflow automation and monitoring 💻 Full-Stack Development & Deployment Data-driven web applications Dashboard and analytics platforms Backend API development Frontend integration with live databases Vercel, Netlify, Cloudflare deployment Azure and Contabo server deployment Production-ready application architecture Scalable cloud infrastructure 🤖 AI Integration & Machine Learning OpenAI GPT integration DeepSeek API integration AI chatbots and AI assistants Custom AI-powered web applications Machine learning model deployment Real-time prediction systems Predictive analytics and forecasting Fine-tuned AI solutions for business workflows 📊 Data Science & Analytics Exploratory Data Analysis (EDA) Statistical analysis and hypothesis testing Time series forecasting Predictive modeling and classification Business intelligence reporting KPI development and performance analysis Outlier detection and anomaly analysis Data visualization and decision-support systems 🛠 Tools & Technologies Python | PostgreSQL | SQL | Pandas | NumPy | Scikit-Learn | TensorFlow | PyTorch | XGBoost | LightGBM | R Programming | MATLAB Selenium | Scrapy | BeautifulSoup | Playwright | Requests | APIs | JSON/XML Parsing | Data Pipelines | ETL/ELT | Automation Systems OpenAI GPT | DeepSeek | AI Agents | Chatbots | LLM Integrations | Machine Learning Deployment PostgreSQL | Supabase | Render | Azure | Vercel | Netlify | Cloudflare | Contabo | Linux Servers Power BI | Tableau | Excel | Google Sheets | Data Visualization | Statistical Analysis | Business Analytics 📚 Portfolio Highlights • End-to-End Data Platforms – Built complete data ecosystems from collection to deployment for multiple businesses • Smart E-Commerce Scrapers – Automated extraction of variants, pricing, shipping, reviews, and product specifications • Real-Time Data Applications – Live systems that continuously collect, process, analyze, and display data • AI-Powered Business Solutions – Integrated GPT and DeepSeek-powered assistants into production websites • PyGWML Package – Open-source Python package for Geographically Weighted Machine Learning • EEG Microstate Classification – Brain state classification research in collaboration with academic institutions • Climatic Trend Forecasting – Advanced time-series forecasting and urban climate analysis 🌟 Why Work With Me? ✅ Full End-to-End Solution Provider – From research and data collection to deployment and AI integration ✅ Strong Background in Data Science, Data Engineering, and Software Development ✅ Experience Building Production-Ready Systems Used by Real Businesses ✅ Expertise in Automation, Cloud Infrastructure, and Real-Time Applications ✅ DataCamp Certified in Data Science & Web Scraping ✅ Excellent Communication and Client Collaboration ✅ Committed to Clean Code, Scalability, and Long-Term Maintainability 💡 Let's Build Something Powerful Whether you need advanced web scraping, automated data pipelines, AI-powered applications, cloud deployment, machine learning solutions, or complete end-to-end data platforms, I can help turn your idea into a reliable, scalable product. 📩 Lets Connect!

Data Analyst & Automation Specialist | SQL, Python & Web Scraping Hi there! I am a Digital Economics major dedicated to turning raw data into actionable insights. I specialize in helping businesses automate repetitive tasks and organize complex information through technical solutions. What I can do for you: 1.Web Scraping: Extracting data from websites and social media platforms into clean CSV or Excel files. 2.Data Cleaning & Management: Using SQL and Python to organize messy datasets and ensure data integrity. 3.Web Research: Conducting meticulous market research and lead generation with a high attention to detail. 4.Business Insights: Leveraging my economic background to provide data-driven reporting and basic analysis. Why work with me? 1.Analytical Mindset: I understand the economic logic behind the numbers, providing more than just data entry. 2.Efficiency: I prioritize automation scripts over manual work to deliver faster and more accurate results. 3.Communication: Multilingual support in English, Chinese, and Japanese for seamless international collaboration. I am committed to building a long-term reputation on Upwork by delivering high-quality work on every project. Let’s discuss how I can help you save time and streamline your data!

I build and evaluate production AI agents for real business workflows. I work from ambiguous requirements through architecture, implementation, evaluation, deployment, observability, and handoff. Recent delivery: I completed Kinetix Mentor through a $5,600 / 140-hour Upwork engagement. It is a deployed WhatsApp AI platform combining Gemini models, LangGraph orchestration, Pinecone RAG, PostgreSQL memory, multimodal processing with GCS, Stripe subscriptions, external research tools, LangSmith tracing, FastAPI, and Docker. The client gave the project 5 stars and described me as “a complete professional who gets the job done.” I am now turning Kinetix into a measurable Agent Evaluation system. Current work includes: • Versioned JSONL evaluation datasets and repeatable model runners • Deterministic scoring for tool selection, routing, arguments, security, and response contracts • Repeated live-model evaluation instead of one-off testing • Trace-driven failure analysis and targeted regression testing • Separation of scorer defects, agent defects, and infrastructure failures The first router baseline evaluated 30 repeated model runs, uncovered both measurement defects and genuine agent failures, and produced a 17/17 passing targeted regression after fixes. I can help you: • Build or repair LangGraph, RAG, and tool-using AI agents • Create evaluation datasets, behavioral scorers, and regression suites • Diagnose production traces and improve reliability, quality, latency, and cost • Integrate FastAPI, PostgreSQL, vector databases, webhooks, payments, and external APIs • Turn an AI prototype into a deployed, observable workflow with clear documentation and handoff Before freelancing, I worked in ByteDance’s international business, building data-driven systems and translating ambiguous business problems into measurable technical outcomes. Best fit: AI Agent and RAG systems, LLM evaluation, existing AI product improvements, reliability audits, and production integrations. Send me your workflow, current architecture, failure examples, and success criteria. I’ll propose a concrete first milestone.

I am a Ph.D. in Agricultural Water Resources and it’s Environment. My research included crop yield modeling with the climate change that involved huge data analysis, graphics and statistical computing using the R programme. I also have a Masters's degree in Environmental Policy and Management from England, UK with credible experience in research and evaluations of various projects. My strongest skills are academic research writing, editing academic research papers, data analysis, data visualization, and plotting using R.

I help e-commerce stores, businesses, and operators turn manual, time-consuming data tasks into fast, reliable, and error-free automated workflows. Whether you need to extract thousands of product listings from supplier websites, batch-download and rename image assets for auction/e-commerce catalogs, or sync messy data across platforms, I deliver clean, structured results. How I can help your business: • E-Commerce Data Extraction & Web Scraping: Extract product details, prices, specs, and variants from any protected or dynamic website using Python (Playwright/Scrapy/Selenium), Bright Data, or custom automated scrapers. • Catalog Preparation & Asset Processing: Format and map bulk inventory directly into target marketplace templates (eBay, LiveAuctioneers, Shopify, Zoro, Amazon). Automatically batch-download, organize, and rename thousands of high-res images to exact file-naming conventions in minutes. • Data Cleaning & Automated Formatting: Transform messy, inconsistent raw exports, PDFs, and spreadsheets into clean, structured CSV/Excel files with automated quality control checks to ensure zero missing fields or formatting errors. • Workflow Automation & API Integrations: Connect data across Google Sheets, Airtable, CRM systems, and e-commerce backends so your repetitive tasks run automatically. Why work with me: • Fast & Accurate Turnaround: Focused on 100% data integrity with no errors. • Simple Handoff: I deliver clean end-results (ready-to-use CSVs/organized assets) or lightweight automated scripts that you can easily run with one click. • Responsive & Clear Communication. Send over your target website, sample CSV/spreadsheet, or workflow description—let's make your data workflow fast and effortless.