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🏆 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

I am a Statistical Consultant and MS Statistics student at UC Davis. I also received a B.S. in Applied Mathematics/Economics and a Minor in Business Analytics from the University of California, Riverside. 🏆 Elite Credibility: My coauthored research has been selected for presentation at premier national conferences, including: 1️⃣ 2025 Association for Public Policy Analysis & Management (APPAM), Seattle, Washington 2️⃣ 2025 Population Association of America (PAA), Washington, D.C. 📈 Specialized Statistical Services: I leverage R, Stata, and Python to solve complex causal and predictive problems: ✅ Descriptive Regression Analysis: Linear/nonlinear regression, probability modeling (LPM, logistic), ANOVA (One-Way, Two-way, Random / Fixed / Mixed Effects) ✅ Causal Inference: Difference-in-Differences (DiD), Instrumental Variables (IV), and Panel Data (Random / Fixed / Mixed Effects) ✅ Predictive Modeling: Machine Learning (Gradient Boosted Trees, Random Forest, KNN) ✅ Survey Methodology: Expert population weighting, clustering, and post-stratification ✅ Statistical Tests: A/B tests, T-tests, Chi-squared Tests, Hausman test, etc. Some Projects: 1️⃣ Github Website (with an interactive dashboard using PostgresSQL and Python, portfolio, and other webpages on reproducible research) 2️⃣ Regression Analysis of Airbnb prices in Mexico 3️⃣ Regression Analysis of H-1B sponsor rates by industry type and location In a year-long data analytics intern position, I: 1️⃣ Created and implemented a database into our center's initiative on analyzing academic technology usage. 2️⃣ Reached out to technology vendors of the university, requesting data extracts and communicating with them on the interpretation of data. 3️⃣ Streamlined data collection, and organized all data into a database that is still used at the center. 4️⃣ I cleaned and prepared several spreadsheets with hundreds of thousands of rows within Google Sheets, and provided key metrics through dashboards and reports in Google Looker Studio. 5️⃣ I connected this data and made it accessible through Slack. I reported on my progress through Slack, Asana, and Zoom meetings (disseminating findings through bi-weekly meetings). 6️⃣ I implemented data governance policies and facilitated meetings on data governance. 7️⃣ I wrote, recorded, and hosted trainings for my colleagues in Looker Studio. 8️⃣ Providing data-driven insights through story-telling. 🛠 Technical Toolkit: Languages: R, Python , SQL (PostgreSQL), Stata. Visualization: Plotly, ggplot, Looker Studio

Ph.D. Scholar in Econometrics with strong expertise in econometric theory, advanced statistical modeling, and quantitative research in economics, Finance, and Business. Experienced in applying econometric techniques, causal inference methods, forecasting models, and data-driven analytics to address complex economic and business challenges. I help researchers, businesses, and policymakers turn complex data into actionable insights through advanced econometric modeling, statistical analysis, and quantitative research. My work goes beyond data analysis—I focus on selecting appropriate methodologies, validating assumptions, ensuring analytical rigor, and delivering reliable results for academic research, policy analysis, business intelligence, and strategic decision-making. I provide reproducible analyses, clear interpretations, and publication-ready reports that meet professional and academic standards. Most research and business challenges are not solved by applying more statistical tests—they are solved by asking the right research questions and selecting the right analytical framework. That's where I add value. As a Ph.D. Scholar in Econometrics and university lecturer, I help researchers, businesses, development organizations, and policymakers transform complex data into actionable insights through rigorous econometric analysis, statistical modeling, and evidence-based research. ⤷ Ph.D. Scholar in Econometrics ⤷ University Lecturer & Researcher ⤷ Extensive Experience in Economic, Business & Policy Research ⤷ Advanced Expertise in STATA, R, SPSS, Python, Tableau & Power BI ⤷ Strong Background in Quantitative Research & Data-Driven Decision Making 𝗪𝗵𝗮𝘁 𝗜 𝗱𝗼: → Econometric Modeling & Quantitative Research → Economic, Business & Policy Analysis → Spatial Econometric Data Analysis → Statistical Analysis & Data Modeling → R Programming, STATA, SPSS & Python Analytics → Regression Analysis (OLS, Logistic, Probit, Tobit, IV & GMM) → Panel Data Analysis (Fixed Effects, Random Effects & Dynamic Models) → Time Series Analysis, Forecasting & ARIMA Models → Causal Inference & Impact Evaluation → Difference-in-Differences (DiD),Propensity Score Matching (PSM), Regression Discontinuity Design (RDD) → Structural Equation Modeling (SEM) → Survey Data Analysis & Socioeconomic Research → Machine Learning for Economic & Business Applications → Data Visualization, Dashboards & Business Intelligence → Academic Research, Thesis & Dissertation Support → Publication-Ready Tables, Figures & Reports → Reproducible Research & Transparent Analytical Workflows 𝗪𝗵𝗼𝗺 𝗜 𝘄𝗼𝗿𝗸 𝘄𝗶𝘁𝗵: Researchers, Ph.D. and Master's students, universities, development organizations, NGOs, government agencies, policy analysts, economists, financial analysts, consultants, and businesses seeking robust quantitative analysis, econometric modeling, forecasting, and evidence-based decision support. 𝗪𝗵𝗮𝘁 𝗺𝗮𝗸𝗲𝘀 𝗺𝘆 𝘄𝗼𝗿𝗸 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁: I do more than generate statistical output. I help clients understand the story behind the data, select appropriate methodologies, validate assumptions, interpret findings correctly, and communicate results effectively. If a model is unsuitable, I recommend a better alternative. If assumptions are violated, I identify and address the issue. My goal is to deliver results that are academically rigorous, professionally credible, and practically useful. 𝗧𝘆𝗽𝗶𝗰𝗮𝗹 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀: → Econometric analysis for academic research → Policy impact evaluation and program assessment → Panel data and longitudinal data modeling → Economic forecasting and time-series analysis → Survey data analysis and socioeconomic studies → Business intelligence and performance analytics → Thesis, dissertation, and journal publication support If you have a dataset, a research question, or a project requiring rigorous quantitative analysis, feel free to send me a message. I will assess your requirements and provide a clear roadmap for achieving your research or business objectives.

Top Rated Economist | Data Analyst | Statistician | Quantitative & Qualitative Researcher | Survey Analyst | Statistician Econometrician | Research Analyst | Survey Specialist | Visualization Expert ✅ Lead Analyst @Suncor Energy. Previously, a Business Analyst @NNPC & @Pan Allen Energy ✅ A Consulting Researcher @Statisda with high level research experience -000's of offers closed ✅ Able to Gather and transform data into publication-ready insight for Businesses & Researchers ✅ Econometrics| Time-series |Panel data |Cross-sectional |Non-parametric |ANOVA | Regression ✅ Adapt to any writing & formatting style; MLA, Harvard, APA, Chicago, IEEE ✅ Tools: SPSS | Stata | EViews |R | Python | Power BI | Tableau | Excel ✅ 100% original, Copyscape-verified work with unlimited revisions ✅ Professional dashboards, reports, visualizations & clear storytelling My Services: Thesis, Dissertation & Research Editing, Proofreading & Guide ⭐ Areas of focus; social sciences; Business, Finance, Economics etc ⭐ Data Collection, Literature reviews, case studies, whitepaper guide ⭐ Assistance on In-depth literature review using peer-reviewed journals ⭐ Guide to Perfect formatting in APA, MLA, Chicago, Harvard or IEEE ⭐ Insight on SEO-optimized where needed, while keeping full scholarly rigor ⭐ Professional structure with tables, figures & references Time Series Analysis ⭐ Unit root testing/ Stationarity ⭐ Cointegration analysis ⭐ Long Run Regression ⭐ Auto-Regressive Distributive Lag ⭐ Error Correction Model ⭐ Vector Error Correction Model ⭐ Simultaneous Equation ⭐ Vector Auto-Regressive model ⭐ Generalized Method of Moment ⭐ 2 Stage Least Squares ⭐ Volatility Analysis ⭐ Instrumental Variables ⭐ GARCH Modelling ⭐ ARCH Modelling ⭐ Variance Decomposition ⭐ Impulse Response Model ⭐ Volatility Check ⭐ Auto Correlation ⭐ Walds Test ⭐ And a lot more Panel Analysis ⭐ Panel Unit Root ⭐ Panel Cointegration ⭐ Fixed Effects OLS ⭐ Pool Ordinary Least Square ⭐ Random Effects ⭐ Random Walk ⭐ Fully Modified OLS ⭐ Canonical Regression ⭐ Graphical Presentation ⭐ Online Consultation ⭐ And a lot more Cross Sectional Analysis ⭐ Binary Models: Tobit ⭐ Probit Model ⭐ Logit Model ⭐ Multinomial Analysis ⭐ Factorial Analysis ⭐ Linear Regression ⭐ Correlation ⭐ Delphi Method of Estimation ⭐ Multivariate analyses ⭐ Simultaneous equations ⭐ And a lot more Non Parametric Analysis ⭐ Kruskal-walis Test ⭐ Mann-Whitney Test ⭐ Friedman Test ⭐ Chi-square ⭐ Kappa Measure of Agreement ⭐ Wilcoxon Signed-rank Test ⭐ And a lot more Group Comparison ⭐ T-Tests ⭐ Effect Size ⭐ One Way ANOVA ⭐ Two Way ANOVA ⭐ Multivariate Analysis of Variance ⭐ Analysis of Covariance ⭐ Generalized Linear Models ⭐ And a lot more Survey & Questionnaire ⭐ Questionnaire Design ⭐ Survey Design ⭐ Survey Analysis ⭐ And a lot more Preliminary & Descriptive Analysis ⭐ Massaging and Cleaning ⭐ Data Visualization Graphs & Tables ⭐ Development of Scale ⭐ Cronbach’s Alpha Coefficient ⭐ Mean, Frequency ⭐ Proportions, Charts, Graphs ⭐ Assessing Normality ⭐ Trend Analysis ⭐ Sampling Distributions ⭐ PowerPoint Presentations for Statistical Results ⭐ And a lot more Interactive Dashboard & Visualization ⭐ Visualize sales performance, ⭐ Performance tracking ⭐ Track project progress ⭐ Analyze market trend ⭐ Powerful insights. Tools ⭐ Microsoft Office Programs ⭐ Proficient with Python Programming language ⭐ Online survey distribution programs; Qualtrics, Survey Monkey, Google Survey ⭐ Econometrics; SPSS, STATA, EVIEWS, MAT-LAB, TABLEAU, RStudio etc

I have experience in econometrics, biostatistics, statistical analysis, and forecasting. I've worked with PhD researchers scrambling before their defense, policy teams who needed econometric data analysis that could survive a room full of critics, and healthcare professionals whose clinical data analysis had to meet journal standards before submission. In every case, the goal was the same: to get the data analysis right, explain it clearly, and make sure it holds up. ⤷ 5+ years of experience ⤷ Top-rated Data Analyst on Upwork ⤷ 50+ completed data analysis projects ⤷ 100% Job Success Score ⤷ Certified: Data Visualization with R (IBM) | R for Data Science (IBM) | Google Analytics Here's what I've learned after five years of data analysis work: Most projects don't fail because of bad data. They fail because the wrong question was asked, the wrong model was chosen, or the assumptions were never checked. That's the gap I close. Before I run a single test, I make sure I understand your research question, your dataset, and what your results actually need to prove. What I do for you I handle the full data analysis process, from messy raw data to clean, documented, and publication-ready results. For researchers and students working on dissertations, I support the entire process, starting from research design and data preparation, moving through model selection and statistical analysis, and finishing with results interpretation written in language your committee will actually accept. Whether your study calls for regression analysis, hypothesis testing, or a more advanced econometric approach, I make sure every methodological decision is justified and clearly explained. For economists, policy researchers, and development teams, I bring rigorous econometrics to problems that demand more than basic statistical analysis. Program evaluation, causal inference, and policy impact work require models that hold up under scrutiny. I build those models using OLS, instrumental variables, difference-in-differences, panel data methods with fixed and random effects, and time series approaches including ARIMA, VAR, and cointegration testing. The econometrics I apply is always matched to your specific research question, not applied as a default. For healthcare professionals and clinical researchers, I translate complex health data into statistical analysis that meets publication standards. Survival analysis, Cox regression, Kaplan-Meier estimation, longitudinal data analysis, and multilevel modeling are tools I use regularly on clinical and public health datasets. I understand the standards peer reviewers apply, and I build the statistical analysis with those expectations in mind from day one. For businesses and financial teams, I provide data analysis that connects numbers to decisions. Predictive modeling, financial forecasting, and regression analysis help you understand what is driving your outcomes and where things are likely to go. I go beyond surface-level reporting and deliver statistical analysis that your leadership can actually act on. Every engagement is delivered with fully reproducible and well-documented code in R, Stata, Python, or SPSS. That means your results can be verified, your methodology can be defended, and your analysis can be built upon as your project evolves. Have a dataset, a deadline, or a research question you are not sure how to approach? Message me now. I respond within a few hours; I will tell you honestly whether I can help, and if I can, I will tell you exactly how. No vague proposals, no wasted time, just a clear plan for getting your data analysis done right.

I am a certified in accounting and finance from the Institute of chartered accountants Of Pakistan (ICAP). I am a practicing accounting tutor in the school of accounting and management. I would like to be your accounting tutor. I have been teaching accounting economics and chemistry to students in US, Canada and Ireland via Skype .I have expertise in 🔷 Maths 🔷 Economics 🔷 Finance 🔷 Accounting 🔷 Micro Economics 🔷 Macro Economics 🔷 Managerial Economics 🔷 Financial Accounting, Managerial Accounting 🔷 Financial Mathematics 🔷 Financial Numerical including NPV, WACC, IRR, MIRR, Payback period 🔷 Cost and Management Accounting Numerical including, Budgeting, forecasting What I can do for you!? ✅ Quiz preparations ✅ Exam Preparations ✅ Assignment Preparations ✅ Homework Preparations I also provide bookkeeping services. ✅ Bookkeeping ✅ Bank Reconciliation Statements (BRS) ✅ Income Statement, ✅ Balance Sheets, ✅ Accounts Receivable /Payable, ✅ Setup, catch up, clean up, and keep your business accounting books up-to-date. ✅ Accounts receivables and accounts payables. ✅ Recording daily/weekly or monthly financial business transactions (Sales, Purchase). ✅ Online Data Entry / Offline Data Entry, ✅ Web Research, ✅ Excel Data Entry, ✅ Copy/ Paste Work, ✅ MS Excel or Word, & Many More. ** Before hiring my services, feel free to contact so we can have a smooth transitioning from project initiation to project delivery** Thank you