Hire the Best Economics Specialists

I am a Ph.D. holder in Economics from the University of Glasgow, UK, and I also possess a Master's degree in Economics from the University of Illinois at Urbana Champaign, USA. Additionally, I have received education from St John University in Manhattan, the University of California Santa Cruz, and the Bandung Institute of Technology. Over the course of my career, I have acquired substantial experience in both public and private financial institutions, having worked with entities such as the Central Bank, Financial Service Authority, Insurance firm, and Oil company. I am known for being hardworking, reliable, disciplined, loyal, and dedicated to my clients. My expertise encompasses economic analysis, quantitative analysis, business consulting, data analysis, research, and academic writing. I have had the opportunity to collaborate with clients from over 30 countries on a diverse range of projects, covering fields such as macroeconomics, econometrics, statistics, business consulting, SEO, banking, and microeconomics. I take pride in the trust and satisfaction I have earned from a wide spectrum of clients, including CEOs, Directors, startup business owners, professors, policymakers, and students. I have a strong interest for working with data and am proficient in processing statistical data using a variety of statistical packages, including Eviews, SPSS, Matlab, STATA, QM, R, and Minitab. Furthermore, I have a year of experience in questionnaire design for market research. Most importantly, I thoroughly enjoy articulating my analyses through writing and visual representations. I'm looking forward to the opportunity to work with you. Cheers, Jagat

📊 I hold a PhD in Economics with expertise in empirical econometrics, complemented by five years of professional experience in economic analysis and data analytics. My background also includes extensive work in time series forecasting and machine learning applications. 📈 I have collaborated with professionals across the stock market and betting industries to deliver projects forecasting stock market indices and soccer outcomes. 🛠 Technical Skills & Expertise: ✅ Data Analysis: Proficient in data processing, cleaning, and exploratory data analysis using pandas and numpy to derive actionable insights. ✅ Data Visualization: Skilled in effectively communicating findings through tools such as matplotlib, seaborn, and interactive tools such as Streamlit. ✅ Machine Learning: Experienced in creating Machine Learning forecasts and reports using various packages, including scikit-Learn, keras, and statsmodels. ✅ Econometrics: Demonstrated academic success in empirical econometric projects, specializing in causal inference with panel data and employing models such as propensity score matching and difference-in-differences, as well as time series forecasting models (ARIMA/VAR). ✅ Research: Experienced in conducting rigorous empirical research in economics, applying statistical and econometric methods to analyze large datasets. Skilled in extracting meaningful insights and translating them into actionable economic conclusions. Published in peer-reviewed journals on firms' competitiveness. Also experienced in academic writing and research dissemination.

Quantitative Analysis in Macroeconomics & Microeconomics I do quantitative analyses using advanced econometric and statistical methods to explore both macroeconomic and microeconomic research questions. My experience includes model specification, data cleaning and transformation and the interpretation of empirical results within theoretical frameworks. I deliver methodological transparency and provide a clear communication of findings. Preferred Software: Stata, SPSS R, Python, Excel Survey Development & Analysis I have designed several simple to complex narrative-driven research designs. This includes designing questionnaires tailored to economic or sociological research questions, and implementing survey instruments on digital platforms. Usual Software: SurveyMonkey, Qualtrics, SurveyCTO, Limesurvey Qualitative & Mixed-Methods Research I can support in theory-driven qualitative research (interview design, structured coding, clustering, and interpretation) aligned with economic and political theory. Preferred Software: MAXQDA Policy & Legal-Institutional Analysis With formal training in law, I bring a strong understanding of regulatory frameworks and policy design. This allows me to interpret empirical findings in light of legal constraints, particularly in public policy contexts. Background: I am a PhD student in Development Economics specializing in policy-relevant inequality analysis, causal inference, and theory-driven empirical research. My key strength lies in conceptualising meta-level analytical approaches that integrate economic, behavioural, political, and institutional–legal perspectives to extract insights from complex or imperfect data. I work best on problems that demand both analytical and creative reasoning.

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

⭐ Top 1% of Data Science talent on Upwork ⭐Trusted by 50+ clients worldwide⭐ 120+ projects and 7+ years of experience⭐Clear communication, transparent pricing, and top quality. I have worked across different sectors, including: 1.1 InnoSight Financial Planning (USA): I designed an optimal portfolio based on back-projected AI-powered financial indices. 1.2 Aeuthux (USA): I led a team of data scientists to build a web platform supporting investment decision-making. 1.3 Placeholder LLC (USA): I built a trading bot using machine learning deployed on AWS to operate in cryptocurrency markets. 1.4 ARCA-X (QATAR) I wrote research papers on the financial structure of non-central banking systems.

🏆 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