Hire the Best Economics Specialists

🚀 SENIOR FULL-STACK AUTOMATION ENGINEER — AI · CRM/ERP · DevOps I build production AI agents, automation workflows, and end-to-end integrations as ONE technical partner — instead of clients juggling 3-4 specialists who blame each other when systems break. Trusted across 20+ verticals since 2019. 📊 TRACK RECORD (6+ years on Upwork) ✅ $1M+ earnings · 462 projects ($2K → $500K range) · 16,635 hours logged ✅ 100% Job Success Score · Top Rated Plus ✅ 5,000+ workflows deployed · $5M+ saved · 100K+ hours of manual work eliminated ✅ AI agents in production handling 10,000+ calls/month ✅ Certified partners: Monday, Make, Vapi, Retell AI, Palantir Foundry ✅ Supported by Retailbox team (15K+ combined hours) for surge capacity ✅ Average response under 4 hours · US East Coast (West Palm Beach, FL) ✅ Available 10-30 hrs/week or full-time burst engagements 🏆 RECENT WINS (anonymized) • AI Copilot for $500M+ investment portal — Salesforce + SharePoint + RAG, 4-month build • Multi-tenant AI SaaS for elder care lead intelligence — scraping + AI scoring + dashboard • Healthcare wound care platform — HIPAA-compliant, mobile + EMR + AI transcription • Estate Planning AI Copilot — Claude + custom legal workflows for law firm • B2B Outbound System — Apollo + Clay + Smartlead + AI personalization, 1,000+ leads/week • ERP transformation — QuickBooks → Tryton migration, custom Python pipeline • AI Acquisition Engine — Multi-source enrichment + LLM scoring for B2B sales team 🌐 INDUSTRIES Home Services & Trades (HVAC · Plumbing · Electrical · Roofing · Solar · Pool · Painting) · Healthcare & Medical (Clinics · Pharmacy · Health Insurance · EMR · HIPAA) · Financial Services (Mortgage · Insurance · Investment · Crypto · Payments) · Manufacturing (Cabinet · Furniture · Steel · Civil Engineering) · Real Estate & Property · Marketing & Sales Agencies (GHL · HubSpot) · Construction & Contractors · Legal & Compliance · Retail & E-commerce (Shopify · Amazon · WooCommerce) · SaaS & Tech Startups · Telecom · Trucking · and more. 🤖 WHAT I DELIVER AI Engineering • Custom AI agents (Claude, GPT, Gemini) with tool calling • MCP server development for enterprise systems • RAG with vector databases (Pinecone, Weaviate, Qdrant, pgvector) • LangChain, LangGraph, CrewAI orchestration • I use Claude Code, Cursor, Codex daily — ship 5× faster Workflow Automation • n8n, Zapier, Make, Windmill, Power Automate • Custom Python/Node replacing fragile no-code chains • ETL pipelines (CRM ↔ data warehouse, AI training data, ERP migrations) • Event-driven systems, drip campaigns, scheduled reports CRM/ERP Integration & Architecture • HubSpot, Salesforce, Zoho, Monday, Pipedrive, Dynamics 365, GHL, Close CRM • NetSuite, Odoo, QuickBooks, Xero, Stripe • Field service — ServiceTitan, Jobber, Housecall Pro • Healthcare — eClinicalWorks, FHIR, HL7 • Multi-system architectures (5+ platforms unified) Full-Stack Development • React, Next.js, Node.js, Python, FastAPI, Django • Mobile — React Native, native iOS/Android • AI dashboards, admin panels, internal tools • PostgreSQL, MongoDB, Redis DevOps & Cloud • AWS, GCP, Azure · Docker, Kubernetes, CI/CD • Production monitoring, observability, security • HIPAA / SOC2 / PCI-aware integrations Voice AI — Vapi, Retell AI, Bland AI, Twilio (when use case fits) 🎯 COMMON ASKS • Claude/GPT integration into your app or CRM • AI SDR that books meetings (Apollo + Clay + Smartlead + Claude) • RAG chatbot trained on your company data • CRM automation with AI lead scoring (HubSpot/SF/Zoho/GHL) • Field service workflow (ServiceTitan/Jobber + AI) • Internal AI dashboard for ops team (Retool/custom) • Migrate Zapier/Make spaghetti to maintainable code • AI-powered mobile MVP (React Native + Claude) • Voice AI receptionist (Vapi or Retell + CRM sync) • ETL pipeline (QuickBooks/NetSuite ↔ data warehouse) • Custom MCP server for your team's Claude 🎯 IDEAL FIT I serve all sizes: • SMB ($1K-$10K) — small but specific automation that pays back fast • Mid-market ($10K-$100K) — multi-month engagements, multi-system builds • Enterprise ($100K-$500K+) — strategic platform builds, AI-native systems Engagement models: • $2K-$15K fixed scope (1-6 weeks) • $50K+ for AI/full-stack platform builds • $95-125/hr fractional (10-30 hrs/week, weekly Slack sprints) • Long-term Tech Support retainers 💼 HOW I WORK Week 1 — discovery + architecture · Week 2-N — weekly build sprints with daily Slack · Final week — production deploy with docs, tests, handoff. You own the code (zero agency lock-in). Available for ongoing maintenance OR clean handoff to your in-house team. 💬 NEXT STEP Send a 2-3 sentence brief: what you're building, your current stack, and the specific problem you want solved. Loom walkthroughs, existing repos, and architecture diagrams welcome.

I received my masters and phd degree from the University of Texas at Austin in economics. I have over 10 years of experience in econometric data analysis. I can manipulate and analyze data in excel, Stata and SPSS. From simple data analysis to advanced econometric techniques I can help in your homeworks, projects, masters or PhD thesis. I am familiar with cross section, panel and time series econometric techniques. I have many published papers. I have also great deal of teaching experience. I can teach almost in all fields of economics.

I'm a mathematician, economist, and data analyst with expertise in data, statistical, and economic analysis. I'm driven to help my clients achieve their goals and do their best. I have experience in the following: Economic and Econometric Analysis Data and statistical analysis using: SPSS Matlab Minitab R Jamovi Excel Python SAS R Stata Report writing Research I enjoy regular conversations and keeping my clients posted.

PhD in Finance, Postdoctoral Research Fellow, and university lecturer helping clients with financial analysis, market research, quantitative analysis, and evidence-based financial research. I combine rigorous academic research with practical financial and data analysis. I help clients investigate markets, companies, investment themes, financial datasets, regulatory developments, and complex research questions — then turn the evidence into clear, decision-useful results. My areas of expertise include financial and market analysis, quantitative finance, econometrics, statistical modelling, investment and sector research, financial data analysis, and academic/scientific research. I work with Python, R, Stata, SPSS, and Excel, with experience in financial time-series analysis, regression and econometric modelling, robustness testing, bootstrap inference, connectedness analysis, machine learning, research validation, and publication-quality visualization. My peer-reviewed research has appeared in Finance Research Letters, Financial Innovation, and Mineral Economics, covering financial markets, portfolio and risk implications, sustainable finance, energy markets, carbon markets, digital assets, and green minerals. My recent research also includes financial reporting and sustainability-assurance measurement, including development and validation of a claim-level classification framework using human-coded reference data, out-of-fold validation, measurement-validity assessment, and statistical inference. I also support ongoing finance-content and market research, where I identify timely financial and business developments, verify figures and primary sources, evaluate their market significance, and translate complex information into concise, audience-friendly insights. Whether you need financial analysis, investment/market research, quantitative modelling, statistical analysis, research validation, or publication-quality financial research, I focus on accurate sources, transparent methodology, and clear communication.

I am a data analyst and a researcher holding a PhD in business administration with specialization in finance. I help businesses and researchers all over the world to analyze their data effectively using various statistical tools but primarily using STATA. At the same time, my extensive research work on finance and micro-economics has been published by leading peer-reviewed journals. The combination of domain knowledge in finance and economics on one hand, and excellent technical skills on the other allow me to generate valuable insights from my clients’ data. My skillset includes -Data analysis for business and research purposes using methods from data mining, econometrics and statistics -Causal inference (propensity score matching, regression discontinuity design (RDD), difference-in-difference (DID) estimation, event studies) -Quantitative market research data analysis (regression analysis, time series analysis, hypothesis testing) -I have experience with cross-sectional, time-series, panel, survey, firm (business) data. -Statistical consulting/tutoring using Stata

🏆 EXPERT-VETTED TOP 1% ON UPWORK |⭐ 5-Star Ratings | Data Analytics and Predictive Modeling|💎MASTER/PHD THESIS Help |✅Statistics, Panel Data, Time series Econometrics |✅ R, PYTHON, SAS, Tableau, Power BI | ✅Data Science, Machine Learning Models | ✅STATA Master, Large Survey Data and Regression Analysis, Economic Policy Evaluation, Predictive Financial Modeling | 🏆PhD and 20 years of experience. ABOUT ME: 🏆 EXPERT-VETTED and TOP RATED PLUS status (TOP 1% on UPWORK) 🥇20 years of working experience with large corporations and institutions (Amazon, the World Bank, International Financial Corporation, University of Pennsylvania) 🎓PhD/Professor in Econometrics/Statistics/Data Science 💎Provide effective help for MASTER/PHD THESIS With proven tracked records of success in Upwork (Expert Vetted Top 1% and Top Rated Plus), overwhelmingly positive feedback with 5* ratings, my PhD and 20 years of experience, I can definitely help you bring out the highest quality, great results for your project and achieve your business goals. I have over 20 years of experience in empirical research, statistical analysis, econometric modeling, data science, machine learning models, data analysis (panel data analysis and time series analysis, complex survey design and analysis), data visualization, storytelling, and project management. I enjoy creating dashboards of data analytics to provide data insights, data trend, meaningful graphs, statistical analysis, story-telling summary that serves as key benchmark to influence business decision. Moreover, I also provide robust statistical evidence, regression/correlation analysis, machine learning predictive models to provide supportive and significant results for business projects. I also help clients understand different statistical techniques, regression techniques, learn excellent statistical language including STATA, SAS, R, and Python to make your life easier. My previous projects on machine learning and econometric modeling include the followings but not limited to: - Data Analysis, Large Survey Data Analytics and Data Visualization. - Linear regression with panel data and time series data. - Forecasting model for time series analysis - Financial modeling such as stock returns, cryptocurrency price prediction, financial indices and financial performance prediction. - Machine Learning models: Random forest, decision trees, KNN, neural network,... - Logistic models, multinomial logit models, ordered logit models. - Economics research, market research, house price, mortgage default prediction, - Program evaluation using different methods such as difference in difference, propensity score matching, instrument variables, fixed effects, regression discontinuity design. I am happy to share my knowledge on machine learning modeling as well as quantitative and analytical skills to help you succeed in your project. In addition, with my experience in participating and presenting in thousands of academic and industry conferences, supervising and guiding hundreds of college and graduate students in their thesis/dissertation, I am very confident that I can help you make a difference in your project and bring out the highest quality and great results for your Master or PhD's thesis/dissertation project. I can also provide statistical advice and statistical analysis including: - Descriptive Statistics. - Bi-variate analyses such as t-tests, correlations, chi-square tests and non-parametric tests for normal and non-normal data. - Multivariate analyses such as ANOVA, MANOVA, LDA, PCA and factoring analysis, regression analysis (see econometric models above). - Review and interpret statistical output, set up the appropriate hypothesis testing and write up conclusion and policy recommendation. - Tutoring Statistics, Math and Econometric courses: including both introduction and advanced courses. I have experience with different types of data including: - Survey data (household, market research, firm/business/country data, house price, loan performance, accounting, finance, health, labor and income, etc.) - Panel data - Time series data I help clients put together and analyze different types of survey data, panel and time series data, getting the data insights, build data trend and data stories with meaningful graphs and great visualization. With proven tracked records of success in Upwork (Expert Vetted Top 1% and Top rated), overwhelmingly positive feedback with 5* ratings, my PhD and 20 years of experience, I can definitely help you bring out the highest quality, great results for your project and achieve your business goals. Looking forward to working with you soon, Dr. Victoria