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Engineering Draftsman Freelancer Available

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Expertise areas include product design and 2D/3D drafting, CAD conversion (PDF, Jpeg to dwg or DXF), mechanical engineering design, furniture design, concept creation, sheet metal development, surface modeling, mold design detailed drawings for manufacturing and assembly instruction, FEA, as well as the generation of manufacturing files for 3D printing, laser cutting, cnc milling, turning, and drilling. Call/WhatsApp: +27746399746 Email address:info@eddservice.com Webpage: www.eddservice.co.za Kind regards, Nickson (Qualified Mechanical Engineer)

Sunnyside & Arcadia

Engineering Draftsman Freelancer Available

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22d

Sunnyside & Arcadia

Engineering Draftsman Freelancer Available

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1mo

Sunnyside & Arcadia

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Engineering Draftsman Freelancer Available

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Pretoria West

Engineering Draftsman Freelancer Available

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10d

Pretoria West

Engineering Draftsman Freelancer Available

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21d

Pretoria West

Project Manager Available - Business Analyst

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Call Olajide Kuku for your Project Documents Business Case. Competence ------------------------------- Requirements Package Requirements Quality Plan Business Process Modelling etc Microsoft Office Excel Data Analysis/Business-Intelligence Microsoft Project Microsoft Visio SQL Server Microsoft Sharepoint Microsoft Dynamics CRM Call Olajide Kuku on 0842958144 or 0718165933 A Consultant Project Manager/Business Analyst- Implementation Manager.

1mo

Brooklyn

Biostatistician For Your Thesis Or Project, Tuks Phd Finalist

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For your chapter 4 thesis or research paper. Experienced STATISTICIAN/RESEARCHER and PHD Finalist with 10 plus years’ experience in quantitative analysis. Longitudinal and cross section data analysis methodologies. I have vast experience in large household surveys around SADC countries, have analysed and presented for the African Union as a PhD and independent consultant. For thesis, analysis and interpretation, I also coach through the analysis and interpretation (for ownership). In my part time I am provide the following expertise; i. Univariate analysis: Frequencies (prevalence’s-epi studies), tables and graphs ii. Bivariate analysis-correlations (pairwise, tetrachloric, correlograms-in time series); ii. Multivariate-Regression analyses which cover ordinal, count, categorical and binary outcomes. Ordinary Least Squares, Partial/Pooled effects; Factor/Principal component analysis; iii. Hypothesis testing -parametric tests e.g. paired t-tests, and non-parametric tests (e.g. Wilcoxon sign rank) iv. For Likert scale data-normality tests (Wilk Shapiro tests, skewness, kurtosis) iv. Pathway Analysis and Structural Equation Modelling (SEM), and its post estimation results v. Time series: Autoregressive Conditional Heteroscedastic (ARCH) and Auto Regressive Distributed Lag (ARDL) family models. Stepwise analysis which includes settimg data to time series, white noise detection (stationarity tests), Dick Fuller or PPeroni unit root tests (VAR), Vector error correction models (VEC), Granger causality tests. v. Includes setting data to survival, run descriptive stats with survival analysis family of analysis.Survival analysis: Censoring, prevalence and incident rates, regression models e,g, cox regression, interactions (log rank, and Kaplan Meier survival functions graphs). vi. Checking multicollenearity/endogeneity-Variance Inflation Factor (VIF in STATA), or any pre model estimation. Software experience: Excel, SPSS, STATA (advanced/excellent), EPI Info (intermediate), R (intermediate), SAS (Intermediate). Turnaround time: In a space of 5 days. If you need to self tutor STATA You can get a STATA version 15 -30 day trial on https://www.stata.com/customer-service/evaluate-stata/

2mo

Hatfield

Dividend, people and profit driven /Financial manager/ Financial director / Accountant Available

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I am driven and motivated professional with MBA ,Bcom in finance , certified accountant ( I can sign financial statements ) and with several diplomas in accounting. With over several years of success linking finance, corporate governance , strategic plans , investment planning, mission and vision to business operations, the value I bring in South Africa Connection extends far beyond that of typical Chief Financial Officer or Chief executive officer. Not only am I effective in developing strategic plans,corporate governance plans, investment , divided planning, planning growth ,innovation , budgets and forecast, I know what it will take for operations, marketing and sales to successfully execute on them to deliver strong sustainable revenue, profit and performance results. I can perform any of the following tasks:Prepare and interpret monthly management accounts and annual reports Implement financial plans Assess and manage risks Reconcile balance sheets Analyse margins Manage budgets Handle debtors Monitor cash flows statements and predict future trends Conduct reviews and evaluations for cost-reduction Develop external relationships, for example; solicitors, bankers, Inland Revenue Liaise with auditors to ensure annual monitoring is carried out Arrange new sources of finance and debt facilities Ensure that all transactional, payroll and VAT/ taxation requirements are met Keep on top of changes in regulation and legislation and new industry developments Monitoring business performance Monitoring cash flow Overseeing the budgets and that everyone is sticking to them Working with departments and teams Supervising your own accounts team Preparing accounts Developing financial models Planning for the future Competitor analysis Strategic planning,Ensures staff and Board have sufficient and up-to-date information Looks to the future for change opportunities,Interfaces between Board and employees,Interfaces between organization and community.

2mo

Centurion

Statistician /applied Economics Expert. For Yr Masters And Phd Thesis. Tuks Phd Finalis. In 5 Days

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In my part time I analyse, interpret and write up chapter 4/5 thesis, in 3-5 days. I am an experienced STATISTICIAN/RESEARCHER and PHD Finalist (University of Pretoria), with 15 plus years’ experience in quantitative analysis. My experience is specifically on cross sectional and longitudinal research (econometric models and survival models) processes. I have also supervised Masters thesis. My profiles online for more https://www.linkedin.com/in/christopher-manyamba-04490713/ http://oasis.col.org/handle/11599/3934?show=full https://www.up.ac.za/news/post_1722144-up-student-wins-fellowship-to-study-womens-empowerment-index https://researchspace.ukzn.ac.za/handle/10413/8822 1. Proposal development: Intro, Literature review, Methodology (study design, approach, sampling, reliability, ethical issues) 2. Univariate analysis: Frequencies. Means and std deviations for continuous data, tables and graphs; 3. Bivariate analysis: pairwise correlation, Spearman’s for non-parametric and Pearson’s for normally distributed data; 4. For Likert scale data, reliability (Cronbach’s alpha) and normality tests (Wilk Shapiro tests, skewness, kurtosis); 5. Hypothesis testing -parametric tests e.g. paired t-tests, and non-parametric tests (e.g. Wilcoxon sign rank, Kruskal Wallis); 6. Multivariate-Regression analyses which cover ordinal, count, categorical and binary outcomes. Ordinary Least Squares (OLS), Partial/Pooled effects; Factor/Principal component analysis; 7. Pathway Analysis and Structural Equation Modelling (SEM), and its post estimation results 8. Time-series, Econometric Models: Autoregressive Conditional Heteroscedastic (ARCH) and Auto-Regressive Distributed Lag (ARDL) family models. The stepwise analysis includes setting data to time series, white noise detection (stationarity tests), Dick Fuller or P-Peroni unit root tests (VAR), Vector error correction models (VEC), Granger causality tests; 9. Survival analysis (epidemiological): Includes setting data to survival, run descriptive stats with survival analysis family of analysis. Survival analysis: Censoring, prevalence and incident rates, regression models e.g. Cox proportionate regression, interactions (log-rank, and Kaplan Meier survival functions graphs); 10. Checking multicollinearity/endogeneity-Variance Inflation Factor (VIF in STATA), or any pre-model estimation; 11. Software experience: Excel, SPSS, STATA EViews (advanced/excellent), EPI Info (intermediate), R (intermediate), SAS (Intermediate). If you need to self-tutor STATA, you can get a STATA version 15-30-day trial Whattsapp 0732177216

6mo

Hatfield

Phd Level Statistician For Your Thesis Data Analysis And Write Up

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Certificated Natural Scientist. Statistical Sciences.For your chapter 4 and 5 thesis chapter. Experienced STATISTICIAN/RESEARCHER and PHD Finalist with 15 plus years’ experience in quantitative analysis.See https://www.up.ac.za/news/post_1722144-up-student-wins-fellowship-to-study-womens-empowerment-indexMy Linkdin profile: https://www.linkedin.com/in/christopher-manyamba-04490713/Also see https://researchspace.ukzn.ac.za/handle/10413/8822Whattsapp 0732177216I analyse, interpret and write up Chapter 4 (15-25 pages, or more), which you then discuss in Ch5.Overall I provide the following quantitative analysis and modelling expertise;1. Proposal development including study design and sampling;2. Univariate analysis: Frequencies. Means and std deviations for continuous data, tables and graphs;3. Bivariate analysis: pairwise correlation, Spearman’s for non-parametric and Pearson’s for normally distributed data;4. For Likert scale data, reliability (Cronbach’s alpha) and normality tests (Wilk Shapiro tests, skewness, kurtosis);5. Hypothesis testing -parametric tests e.g. paired t-tests, and non-parametric tests (e.g. Wilcoxon sign rank, Kruskal Wallis);6. Multivariate-Regression analyses which cover ordinal, count, categorical and binary outcomes. Ordinary Least Squares (OLS), Partial/Pooled effects; Factor/Principal component analysis;7. Pathway Analysis and Structural Equation Modelling (SEM), and its post estimation results8. Time-series, Econometric Models: Autoregressive Conditional Heteroscedastic (ARCH) and Auto-Regressive Distributed Lag (ARDL) family models. The stepwise analysis includes setting data to time series, white noise detection (stationarity tests), Dick Fuller or P-Peroni unit root tests (VAR), Vector error correction models (VEC), Granger causality tests;9. Survival analysis (epidemiological): Includes setting data to survival, run descriptive stats with survival analysis family of analysis. Survival analysis: Censoring, prevalence and incident rates, regression models e.g. Cox proportionate regression, interactions (log-rank, and Kaplan Meier survival functions graphs);10. Checking multicollinearity/endogeneity-Variance Inflation Factor (VIF in STATA), or any pre-model estimation;11. Turnaround time for analysis, interpretation and write up: In a space of 5 days;If you need to self-tutor STATA, you can get a STATA version 15-30-day trial

8mo

Hatfield

Phd Finalist, Statistician For Your Analysis And Results Write Up

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For your chapter 4 and 5 thesis chapter. Experienced STATISTICIAN/RESEARCHER and PHD Finalist with 15 plus years’ experience in quantitative analysis.See https://www.up.ac.za/news/post_1722144-up-student-wins-fellowship-to-study-womens-empowerment-indexMy Linkdin profile: https://www.linkedin.com/in/christopher-manyamba-04490713/Also see https://researchspace.ukzn.ac.za/handle/10413/8822I analyse, interpret and write up Chapter 4 (15-25 pages, or more), which you then discuss in Ch5.Overall I provide the following quantitative analysis and modelling expertise;1. Proposal development including study design and sampling;2. Univariate analysis: Frequencies. Means and std deviations for continuous data, tables and graphs;3. Bivariate analysis: pairwise correlation, Spearman’s for non-parametric and Pearson’s for normally distributed data;4. For Likert scale data, reliability (Cronbach’s alpha) and normality tests (Wilk Shapiro tests, skewness, kurtosis);5. Hypothesis testing -parametric tests e.g. paired t-tests, and non-parametric tests (e.g. Wilcoxon sign rank, Kruskal Wallis);6. Multivariate-Regression analyses which cover ordinal, count, categorical and binary outcomes. Ordinary Least Squares (OLS), Partial/Pooled effects; Factor/Principal component analysis;7. Pathway Analysis and Structural Equation Modelling (SEM), and its post estimation results8. Time-series, Econometric Models: Autoregressive Conditional Heteroscedastic (ARCH) and Auto-Regressive Distributed Lag (ARDL) family models. The stepwise analysis includes setting data to time series, white noise detection (stationarity tests), Dick Fuller or P-Peroni unit root tests (VAR), Vector error correction models (VEC), Granger causality tests;9. Survival analysis (epidemiological): Includes setting data to survival, run descriptive stats with survival analysis family of analysis. Survival analysis: Censoring, prevalence and incident rates, regression models e.g. Cox proportionate regression, interactions (log-rank, and Kaplan Meier survival functions graphs);10. Checking multicollinearity/endogeneity-Variance Inflation Factor (VIF in STATA), or any pre-model estimation;11. Turnaround time for analysis, interpretation and write up: In a space of 5 days;If you need to self-tutor STATA, you can get a STATA version 15-30-day trial

3mo

Hatfield

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model in Sunnyside & Arcadia (3 results)

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