Nabeel H.

Nabeel H.

PeshawarPakistan

Agricultural Economist, Forecasting Data analyst,

I am an economist and statistician with a Ph.D. in Agricultural economics & Management. I have about 07 years of experience in planning, conducting, and summarizing all aspects of the research, including handling primary data, identifying secondary data sources, data analysis and modeling, and have worked with large and complex data sets. Presently, I am working on Forecasting and Time Series regression analysis. I have recently published a research article:- Hussain, N. Predicting Forecast of Sugarcane Production in Pakistan. Sugar Tech (2022). (doi.org/10.1007/s12355-022-01221-4) My skill set includes: • Research • Literature Review • Downloading References in Endnote • Questionnaire design • Data collection • Data entry • Data labelling • Comparing two variables • Making dataset of frequencies and percentages • Recoding categorical variables • Descriptive statistics (Mean, Median, Mode, Variance, Standard Deviation) • Summarizing data (Graphical & Tabulated Form) • Graphs (Bar Chart, Box Plots, Matrix Graphs, Pie Charts, Histogram Plots, Kernel Density Plots, Two-Way Graphs) • Bayesian analysis (Summary Statistics, Hypothesis Testing, Mean of a Normal Distribution with a known Variance, Mean of a Normal Distribution with an Unknown Variance, Simple Linear Regression, Multiple Linear Regression, Logistic Regression, Ordered Probit Regression, Multivariate Regression etc.) • Data cleaning • Multivariate analysis (Computing Interitem Correlations (Covariances) and Cronbach’s alpha, Simple Correspondence Analysis, Discriminant Analysis, Factor Analysis, MANOVA, Multivariate Tests, Principal Component Analysis, Score and Loading Plots) • Regression modelling (Autoregressive Distributed Lag Model (ARDL), Autoregressive Integrated Moving Average (ARIMA) model, Graded Response Model, Ordinary Least Square Regression, Ordered Probit Model, Probit Model, Logit Model, Cobb-Douglas Production Function, Utility Function, Net Revenue Function, Structural Equation Model, Generalized Structural Equation Model) • Data specification tests (e.g. Multicollinearity Test, Heteroscadasticity Test, Serial Auto-Correlation Test, Heterogeneity Test) • Multiple imputation (dealing with missing data) • Quantitative and qualitative data analysis I participated as an active member in project proposal, questionnaire design, research data collection, data entry, data cleaning, data analysis, and research report writing in three research projects at China Agricultural University, Beijing (Investigation on Infant Formula Milk Powder Consumption and Food Safety Confidence Project, Beijing Philosophy and Social Science project, and, Urban Rural Integration Social and Economic survey). In addition, I have helped a Mater student to find mean, standard deviation and two-way ANOVA with replacement of his research project data. Moreover, recently, I have labelled a large data set (including 348 variables and 204 observations), found frequencies and cleaned data for the APEX Consulting Pakistan. I have worked with consumer survey data. I have excellent written and communication skills that I have developed by writing papers, thesis, and dissertation and teaching classes. I have both technical and non-technical writing experience and have written academic journal articles. I am proficient in STATA, SPSS and Microsoft Excel. I have experience with the following types of data: - Consumer survey data (cross-sectional and panel) - Time series data I speak English, Urdu and Pashto fluently. I also speak Chinese.
Jan 22, 2023 - Present

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Portfolio

Copied 198 tables from PDF to MS Word
Copied 198 tables from PDF to MS Word
Entered cross sectional data from 110 questionnaires
Entered cross sectional data from 110 questionnaires
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Nabeel H.

Nabeel H.

PeshawarPakistan
4
Total Jobs
11
Total Hours

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Agricultural Economist, Forecasting Data analyst,

Specializes in
I am an economist and statistician with a Ph.D. in Agricultural economics & Management. I have about 07 years of experience in planning, conducting, and summarizing all aspects of the research, including handling primary data, identifying secondary data sources, data analysis and modeling, and have worked with large and complex data sets. Presently, I am working on Forecasting and Time Series regression analysis. I have recently published a research article:- Hussain, N. Predicting Forecast of Sugarcane Production in Pakistan. Sugar Tech (2022). (doi.org/10.1007/s12355-022-01221-4) My skill set includes: • Research • Literature Review • Downloading References in Endnote • Questionnaire design • Data collection • Data entry • Data labelling • Comparing two variables • Making dataset of frequencies and percentages • Recoding categorical variables • Descriptive statistics (Mean, Median, Mode, Variance, Standard Deviation) • Summarizing data (Graphical & Tabulated Form) • Graphs (Bar Chart, Box Plots, Matrix Graphs, Pie Charts, Histogram Plots, Kernel Density Plots, Two-Way Graphs) • Bayesian analysis (Summary Statistics, Hypothesis Testing, Mean of a Normal Distribution with a known Variance, Mean of a Normal Distribution with an Unknown Variance, Simple Linear Regression, Multiple Linear Regression, Logistic Regression, Ordered Probit Regression, Multivariate Regression etc.) • Data cleaning • Multivariate analysis (Computing Interitem Correlations (Covariances) and Cronbach’s alpha, Simple Correspondence Analysis, Discriminant Analysis, Factor Analysis, MANOVA, Multivariate Tests, Principal Component Analysis, Score and Loading Plots) • Regression modelling (Autoregressive Distributed Lag Model (ARDL), Autoregressive Integrated Moving Average (ARIMA) model, Graded Response Model, Ordinary Least Square Regression, Ordered Probit Model, Probit Model, Logit Model, Cobb-Douglas Production Function, Utility Function, Net Revenue Function, Structural Equation Model, Generalized Structural Equation Model) • Data specification tests (e.g. Multicollinearity Test, Heteroscadasticity Test, Serial Auto-Correlation Test, Heterogeneity Test) • Multiple imputation (dealing with missing data) • Quantitative and qualitative data analysis I participated as an active member in project proposal, questionnaire design, research data collection, data entry, data cleaning, data analysis, and research report writing in three research projects at China Agricultural University, Beijing (Investigation on Infant Formula Milk Powder Consumption and Food Safety Confidence Project, Beijing Philosophy and Social Science project, and, Urban Rural Integration Social and Economic survey). In addition, I have helped a Mater student to find mean, standard deviation and two-way ANOVA with replacement of his research project data. Moreover, recently, I have labelled a large data set (including 348 variables and 204 observations), found frequencies and cleaned data for the APEX Consulting Pakistan. I have worked with consumer survey data. I have excellent written and communication skills that I have developed by writing papers, thesis, and dissertation and teaching classes. I have both technical and non-technical writing experience and have written academic journal articles. I am proficient in STATA, SPSS and Microsoft Excel. I have experience with the following types of data: - Consumer survey data (cross-sectional and panel) - Time series data I speak English, Urdu and Pashto fluently. I also speak Chinese.
Jan 22, 2023 - Present

Job in progress

Private earnings

Nabeel H. has more jobs. Create an account to review them

Portfolio

Copied 198 tables from PDF to MS Word
Copied 198 tables from PDF to MS Word
Entered cross sectional data from 110 questionnaires
Entered cross sectional data from 110 questionnaires
Want to see more? Create Account
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