The operational challenge
Assistance programmes need more than a completed assessment form. Household and member records must be consistent, possible duplicate registrations need review, and programme teams need clear documents for verification and distribution. Repeating these steps manually creates avoidable work and makes the process harder to reproduce.
My contribution
I developed Python and R scripts to support these tasks alongside ActivityInfo-based information management. The work brought together data preparation, automated checks, scoring analysis and document generation. It supported the wider DRC workflows described in my professional experience, including beneficiary-list preparation for BHA-funded assistance and information management support to the ECHO consortium.
- Make checks repeatable. Apply documented household and member consistency checks, then produce a review report that helps teams investigate the records behind each flag.
- Support careful verification. Compare selected identity and household attributes to identify candidate matches, keeping the final judgement with authorised reviewers.
- Turn exports into field documents. Sort and group structured records into distribution and validation registers, with consistent headers, card-number fields and printable layouts.
- Prepare files for handover. Organise representative exports and picture-processing steps so that preparation can be repeated and inspected.
What you can explore here
The public collection contains adapted examples and documentation. Python demonstrations use explicitly fictional records. The R reference workflows retain the analytical approach while replacing private system connections with local input files. No programme datasets, beneficiary photographs, operational links or credentials are included.
The original scoring criteria are programme-specific, and candidate duplicates require human review. These examples demonstrate my approach to the work; they are not automatic assistance-eligibility tools.