Hire the Best Predictive Analytics Specialists

I build AI systems that replace manual work and make businesses money. 30+ clients. 5x Google Certified. Everything I build runs in production — not a prototype, not a demo. RIGHT NOW: I'm offering senior-level AI and data work at competitive rates while building my Upwork reviews. This window closes after my first 10 reviews. **AI Agents & Voice AI** -Internal SAAS Tools for you to sell or run your business! - AI phone agents that answer calls 24/7, book appointments, and qualify leads (Twilio + Claude/GPT) - AI chatbots trained on YOUR data — customer support, lead capture, internal Q&A - Multi-agent systems where AI tools coordinate, hand off, and self-correct - RAG pipelines — ask your documents anything in plain English - Voice AI for service businesses: HVAC, plumbing, dental, legal, real estate **Workflow Automation** - End-to-end business process automation (n8n, Make, Zapier + AI) - CRM automation — lead routing, follow-up sequences, data enrichment - Document processing — invoices, contracts, applications handled by AI - Email/SMS automation integrated with your existing tools **Data Analytics & Dashboards** - GA4 setup, audit, and optimization — done this 30+ times - Custom dashboards (Looker Studio, Tableau, Google Sheets) - BigQuery data pipelines and warehouse architecture - Market research, competitive intelligence, financial modeling **What I've built (running in production right now):** - 28-agent autonomous AI system handling daily business operations (80,000+ lines) - AI voice agents answering calls 24/7 for service businesses - AI-powered compliance platform automating security questionnaires - Automated market research engine replacing $15K consulting engagements - Real-time data pipelines and dashboards for business intelligence **How I work:** 1. You describe the problem 2. I scope it with a fixed price and timeline — no surprises 3. I build fast, communicate daily, and over-deliver 4. Full documentation — you own everything, you're never dependent on me Tools: Python, Claude API, OpenAI API, Twilio, n8n, Make, Zapier, LangChain, Docker, SQL, GA4, GTM, BigQuery, Looker Studio, Tableau, Notion Send me a message. I'll tell you honestly if I can help, what it costs, and how fast.

I help ecommerce brands, restaurant chains, and retail groups stop guessing and start reading their numbers at a glance. With 8+ years in data and BI, I turn messy Shopify, POS, and store data into a clean warehouse, dashboards your team actually uses, and an AI copilot that answers business questions in plain English. Here is what makes my work different: I add a chat-with-data layer on top of governed analytics. Instead of learning Power BI, a store manager or founder can just ask "how did each region do vs last month?" and get the right answer, backed by real SQL. The AI runs on a local model on your own infrastructure, so your data never leaves your environment and there are no per-query API fees. Every metric is defined once and protected by automated tests, so numbers do not silently drift between reports. A bit of my background: Senior BI Developer building end-to-end enterprise Power BI: dashboards, semantic models, star-schema data models, DAX optimization, and row-level security. Senior Data Analyst at Pizza Hut Vietnam, where I led the reporting redesign from SSRS to Power BI and grew internal BI adoption by 82% year over year. I also built RFM segmentation, churn prediction, pricing models, and demand forecasting, and trained restaurant managers directly. Independent analytics engineering: full pipelines using dbt, Airflow, and WrenAI text-to-SQL on a local LLM, delivered as governed, self-hosted platforms. Core stack: SQL (advanced), Snowflake, BigQuery, PostgreSQL, Python (pandas), Power BI, Superset, dbt, Airflow, and WrenAI for natural-language analytics. Strengths in dimensional modeling, metric governance, KPI dashboards, and turning data into decisions. How I like to start: a fixed-price pilot on your own data (usually 1 to 2 weeks). I connect one source, model your top KPIs, and deliver one dashboard plus a working chat-with-data copilot, so you see the result before committing to a full build. If you want analytics your whole team can trust and actually use, send me a message and tell me about your data. I am happy to show a live demo of the copilot in action.

I help businesses turn complex data into actionable insights, predictive models, and AI-powered solutions that improve decision-making and automate processes. I am a Data Scientist with 5+ years of experience in 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴, 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲, 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀, 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲, 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜, 𝗮𝗻𝗱 𝗠𝗟𝗢𝗽𝘀. I specialize in building complete AI solutions, from data preparation and feature engineering to model development, deployment, monitoring, and business reporting. My experience covers industries including 𝗵𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲, 𝗿𝗲𝘁𝗮𝗶𝗹, 𝗲-𝗰𝗼𝗺𝗺𝗲𝗿𝗰𝗲, 𝗳𝗶𝗻𝗮𝗻𝗰𝗲, 𝗮𝗻𝗱 𝗺𝗲𝗱𝗶𝗮 𝗮𝗻𝗱 𝗺𝗼𝗿𝗲, helping organizations solve problems related to forecasting, customer retention, automation, risk analysis, and operational efficiency. 𝑺𝑬𝑹𝑽𝑰𝑪𝑬𝑺 𝑰 𝑷𝑹𝑶𝑽𝑰𝑫𝑬: → 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 Build and deploy ML models for demand forecasting, customer churn prediction, pricing optimization, fraud detection, classification, and regression problems. → 𝗔𝗜 & 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 Develop AI applications using OpenAI, GPT models, LangChain, and Retrieval-Augmented Generation (RAG) systems for automation, knowledge assistants, and intelligent workflows. → 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 & 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 Perform data analysis, data cleaning, exploratory data analysis (EDA), statistical analysis, feature engineering, and data modeling to uncover valuable business insights. → 𝗘𝗻𝗱-𝘁𝗼-𝗘𝗻𝗱 𝗠𝗟 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 Create scalable machine learning workflows from data ingestion and processing to production deployment using Azure Machine Learning, Google Vertex AI, and Databricks. → 𝗠𝗟𝗢𝗽𝘀 & 𝗠𝗼𝗱𝗲𝗹 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 Deploy, monitor, and optimize machine learning models with reliable production workflows and performance tracking. → 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 & 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 Create interactive dashboards and reports using Power BI, Tableau, and Metabase to help teams track KPIs and make data-driven decisions. 𝑩𝑼𝑺𝑰𝑵𝑬𝑺𝑺 𝑰𝑴𝑷𝑨𝑪𝑻 𝑫𝑬𝑳𝑰𝑽𝑬𝑹𝑬𝑫: • Developed a pricing optimization model that identified inaccurate listings and prevented $10,000+ in potential losses • Built a customer churn prediction model that improved retention strategies and increased customer retention by 15% • Created an audit prediction model achieving 82% accuracy, reducing manual review efforts • Developed forecasting models reaching 90% accuracy for sales and inventory planning • Automated Databricks ETL pipelines, reducing data processing time by 8% • Analyzed 800K+ data records to identify operational improvements and close a 25% performance gap 𝑻𝑬𝑪𝑯𝑵𝑰𝑪𝑨𝑳 𝑺𝑲𝑰𝑳𝑳𝑺 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 & 𝗗𝗮𝘁𝗮: Python, SQL, Pandas, NumPy, Data Cleaning, Data Analysis, Statistics, EDA 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗔𝗜: Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Neural Networks, Deep Learning, NLP, Computer Vision 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜: OpenAI API, GPT Models, LangChain, RAG Applications, AI Agents, LLM Automation 𝗖𝗹𝗼𝘂𝗱 & 𝗠𝗟𝗢𝗽𝘀: Azure ML, Google Vertex AI, Databricks, Model Deployment, ML Pipelines, Monitoring 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲: Power BI, Tableau, Metabase, KPI Dashboards, Data Visualization I hold an MSc in Artificial Intelligence from Kings College London (Distinction, Best Overall MSc Student) and a Computer Software Engineering degree (Gold Medalist, 3.99/4.00 GPA). I do not just build machine learning models. I build AI systems that solve real business problems, generate measurable outcomes, and move from prototype to production. If you need a Data Scientist, Machine Learning Engineer, or AI specialist who can handle the complete lifecycle of a data project, 𝗹𝗲𝘁 𝘂𝘀 𝗱𝗶𝘀𝗰𝘂𝘀𝘀 𝘆𝗼𝘂𝗿 𝗴𝗼𝗮𝗹𝘀. 𝗦𝗲𝗲 𝘆𝗼𝘂 𝗶𝗻 𝘁𝗵𝗲 𝗜𝗻𝗯𝗼𝘅!

Most business teams I've worked with have the data — it's just buried in SAP exports, manual Excel files, or reports nobody reads. My job is to turn that mess into something people actually open and use to decide. I've spent 12 years doing this inside John Deere and Volvo spare parts operations — not as a consultant who comes in with a framework, but as the person who built the systems from scratch. I architected the SAP ↔ John Deere RPM integration that runs purchase orders automatically. I built the forecasting models (XGBoost, CatBoost, LightGBM) for my PhD. And right now I'm using Claude AI to automate decisions that used to take days of manual work. The way I work is simple: before touching any data, I ask "what questions are we trying to answer?" That one habit saves weeks of building the wrong thing. What I build: Decision tools — Streamlit apps · AI agents · automated reporting Data infrastructure — SAP · SQL · Snowflake · ETL pipelines BI Dashboards — Power BI · Tableau · inventory & commercial KPIs ML & Forecasting — XGBoost · LightGBM · demand modeling · Python Inventory Management and Replenishment Data Driven Systems Industrial Engineer · MBA · PhD in ML-based inventory optimization. Bilingual EN/ES.

I turn tangled data and hard modelling problems into things you can actually use — a working model, a deployed app, a clear answer to a question that mattered enough to pay someone to get right. I hold a PhD in Complexity Sciences and a first in Theoretical Physics, and I've spent ~15 years as a researcher and consultant building this stuff for real. Most of that work has been across fields that don't usually talk to each other: critical-care medicine, theoretical ecology, economics, education, and industry. That range isn't a gimmick — the same handful of methods (machine learning, agent-based simulation, network analysis, optimisation) keeps showing up in different disguises, and having applied them in genuinely different settings means I recognise which one your problem actually needs, rather than reaching for whatever's fashionable this quarter. A few concrete things, so this isn't just adjectives: I built and deployed a Flask decision-support app for ICU discharge that came out of a machine-learning study (published in BMJ Open). I've written agent-based models of illegal fishing and GPU-accelerated simulations with large speed-ups over the naive version. I've done reinforcement-learning and optimisation for allocating people at organisational scale, control software for off-grid sanitation hardware, and Streamlit data tools for public-good projects. My research has appeared as first-author work in Nature Communications, PNAS, and BMJ Open. Two things I'm reliably good at: picking up an unfamiliar technique and getting it working quickly, and explaining a complicated result to the people who have to act on it without dumbing it down. I work in full-stack Python and am comfortable across the whole pipeline — extraction and cleaning, exploratory analysis, model building, and getting it deployed somewhere people can click it. I run a small consultancy, Rusty Data, focused on helping organisations get value out of data they're already sitting on. If you've got a modelling problem, a pile of data you suspect is useful, or an idea you want pressure-tested by someone who'll tell you honestly whether it'll work — send me a message with a bit of detail and I'll tell you how I'd approach it. How I can help: Build and deploy ML models — classifiers, deep learning (CNN/RNN), predictive tools — end to end, not just a notebook. LLM and agentic work: RAG systems, NLP pipelines, and automation of the tedious analysis you'd rather not do by hand. Simulation and modelling: agent-based models, dynamical systems, and network analysis, including GPU-accelerated versions when speed matters. Optimisation and decision support: numerical optimisation, reinforcement learning, and bespoke apps that turn a model into something a team can use. Data wrangling and exploratory analysis on messy, large, or HPC-scale datasets. Data visualisation and interactive dashboards (d3.js, Tableau, Streamlit, Bokeh) that make a result legible. A second opinion — feasibility reviews, method selection, and clear write-ups for technical or non-technical stakeholders. Skills & tools: Languages: Python (full-stack), SQL (MySQL/Postgres), C++, R, MATLAB/Octave, NetLogo, Unix/shell Python stack: TensorFlow, Keras, PyTorch, scikit-learn, Pandas, SciPy, NumPy, Matplotlib, Bokeh, Streamlit, Flask, Django, Jupyter Infrastructure: big data, HPC, GPU acceleration, cloud compute Visualisation: d3.js, Tableau, Streamlit, Bokeh, Matplotlib Methods: ML (classifiers, CNN/RNN deep learning, deployment) · LLMs (NLP, RAG, agentic workflows, automation) · reinforcement learning · agent-based & dynamical-systems modelling · network analysis & inference · dimensionality reduction (PCA, t-SNE, kernel) · structural equation models & causal inference · numerical optimisation (simulated annealing, basin hopping) · full-stack software development · data visualisation

I help research, healthcare, education, and behavioral science teams turn complex data into clear findings, publication-ready reports, dashboards, and AI-enabled tools. I bring a rare mix of PhD-level statistical training and hands-on AI/data engineering. My background includes 200+ Upwork jobs, Top Rated status, published academic research, graduate-level statistics teaching, grant evaluation work, and current work as a Lead Data Science & Analytics Architect for a VA-facing behavioral health chatbot. I can help with: - Statistical analysis in R, Python, SPSS, JASP, or Stata - APA-style results sections, tables, figures, reports, and presentations - Regression, GLM, multilevel models, SEM/factor analysis, mediation, power analysis, meta-analysis, and ML models - Survey data cleaning, coding, visualization, and interpretation - Dashboards in Power BI, Tableau, R Shiny, or Microsoft Fabric - AI agents, RAG/GraphRAG workflows, NLP, Azure AI, and Microsoft Copilot Studio solutions My clients usually come to me when they need more than a quick chart. They need analysis that is technically sound, clearly explained, and ready for stakeholders, reviewers, funders, or product teams. Send me your research question, dataset, analysis plan, or AI/data product idea, and I'll help clarify the best next step.