Professional Consulting Services

Research Consultancy

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  Proposal Development: Structuring introduction, problem statement, research questions, and statistical frameworks.
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  Literature Review: Executing systematic database searches, compiling matrices, and writing critical reviews.
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  Research Design: Setting up randomized control trials (RCTs), cohort, case-control, cross-sectional, or experimental studies.

Data Analysis

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  Basic Analysis: Descriptive statistics, t-tests, Chi-square tests, correlation, and ANOVA using SPSS or Microsoft Excel.
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  Advanced Modeling: Multivariable linear regression, logistic regressions, Cox proportional hazard modeling, time-series forecasting, and machine learning structures in R.
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  Epidemiologic Calculations: Adjusted odd ratios (aORs), risk ratios, sensitivity/specificity assessments, and survival tables.

Thesis & Dissertation Support

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  Methodology Structuring: Developing sample calculations, data analysis plans, and matching variables to statistical tests.
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  Chapter 4 (Results) Support: Constructing APA/publication-format tables, clean charts, and writing detailed statistical interpretations.
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  Chapter 5 & Defense Prep: Structuring discussions relative to literature, answering methods questions, and designing defense slide decks.

Monitoring & Evaluation (NGOs)

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  Logical Framework (LogFrame) Design: Structuring outputs, outcomes, indicators, and assumptions.
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  Baseline, Midline & Endline Surveys: Designing collection tool protocols, supervising processing, and evaluating changes.
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  Donor Reporting: Writing evidence-backed evaluation reports that satisfy development agencies and international donors.

Data Visualization & Dashboards

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  Microsoft Power BI: Creating KPI reports, financial dashboards, sales visualizers, and project trackers.
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  R Shiny Applications: Building customized, web-hosted interactive interfaces for scientific data distributions.
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  Executive Presentations: Compiling polished, slide-ready charts, infographics, and trend lines.

Data Collection Tools Development

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  Mobile Questionnaire Programming: Building XLSForms with skip logic, input validation constraints, and localization.
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  Sampling Design: Developing probability structures (stratification, clustering, multi-stage) and calculation sheets.
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  ODK / Kobo Setup: Configuring central servers, API hooks, user access rules, and spatial trackers.

Research Support

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  Proposal Development: Structuring introduction, problem statement, research questions, and statistical frameworks.
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  Literature Review: Executing systematic database searches, compiling matrices, and writing critical reviews.
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  Research Design: Setting up randomized control trials (RCTs), cohort, case-control, cross-sectional, or experimental studies.

Proposal Writing

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  Academic & NGO Proposals: Designing logical frameworks, methodology outlines, and sampling calculations.
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  Grants & Funding: Drafting statistically-backed grant proposals and concept notes for international donors.
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  Ethical Review: Structuring data safety, privacy protocols, and consent documentation.