You will get End-to-End M&E & Impact Evaluation for Development Programs
Project details
I specialize in research and data analysis with nearly three decades of experience in project coordination and management. My expertise lies in mixed-methods studies, utilizing advanced econometrics and impact evaluation to extract insights from socio-economic data. I have reviewed over 120 master's theses as an external examiner. I am proficient in quantitative analysis using STATA, SPSS, and Excel, and excel in qualitative research with ATLAS.ti. I have a strong track record in data collection and cleaning, ensuring integrity and consistency for large datasets. I also possess solid skills in report writing, budgeting, and stakeholder engagement to drive project success. My strategic approach to monitoring, evaluation, and learning ensures projects meet goals and exceed expectations. If you're looking for a skilled professional who can transform complex data into actionable insights, let's connect and discuss how I can contribute to your project's success.
Project Type
Financial Consulting, Training & DevelopmentWhat's included
| Service Tiers |
Starter
$400
|
Standard
$600
|
Advanced
$1,900
|
|---|---|---|---|
| Delivery Time | 15 days | 20 days | 30 days |
Number of Revisions | 2 | 2 | 1 |
Optional add-ons
You can add these on the next page.
Additional Revision
+$80
Master's Thesis Review & Quantitative Analysis Support
(+ 10 Days)
+$500
Survey Data Analysis for Business Decisions
(+ 10 Days)
+$500About Haile
Management Consulting & Analysis | Econometrics, Stata, Economics
Mek'ele, Ethiopia - 3:15 am local time
Steps for completing your project
After purchasing the project, send requirements so Haile can start the project.
Delivery time starts when Haile receives requirements from you.
Haile works on your project following the steps below.
Revisions may occur after the delivery date.
Review study objectives, confirm hypotheses, clarify desired outcomes
Request raw data (Excel, CSV, SPSS, etc.), Understand variable names, value labels, missing codes, Confirm which tests: descriptive, t-tests, ANOVA, regression, chi-square, correlations, assumption checks, Heckman (if needed)
Data Preparation (Days 2-3)
Data Cleaning, Missing Data Handling, Variable recording-create factor variables, dummy codes, or composite scores as needed, Outlier Detection using boxplots, z-scores, or Cook's Distance to flag influential cases