Responsibilities:- Kenya country programme management (2 projects, Budget ~£110,000 per year).- Working directly with the leaders of our civil society partners.- Interviewing external evaluation consultants and QA of reports.Achievements: - I led workshops with our partners on using data for programme management: Designing a Theory of Change; designing indicators, outputs and outcomes; managing and analysing beneficiary outcome data in Excel.

Responsibilities:- Improve MEL and Programmes Quality systems and processes, including development of CfC Programmes Quality Framework. - Ensure compliance of all projects to MEL standards.- Provide MEL support to CfC programme managers and partner MEL leads in 5 countries. - Lead CfC global impact reporting and visualisation. Supplying MEL plans and evidence from past projects for institutional fundraising bids for UNICEF, Comic Relief, Theirworld, GOAC etc.Achievements: - Automated the aggregation and accessibility of partner reporting data and impact across the organisation using Kobo Toolbox.- Advocated for the use of intersectional beneficiary panel data to monitor progress in outcomes disaggregated by gender, age and disability.- Facilitated the collaborative design of a framework to evaluate the quality of CfC programme management. - Wrote the 2022-25 MEL strategy and contributed to the CfC global 2025 strategy. - Trained colleagues in Rwanda to design surveys in Kobo Toolbox and analyse the collected data

Interrim Project Management.Recruitment and onboarding of Uganda programme manager.

Responsibilities:-Project management of an inclusive education project in Nyabihu, Rwanda-Organization-wide impact & learning data collection and analysis -Interviewed data analyst consultants and performed quality assurance of external evaluationsAchievements:-Trained enumerators in disability data collection to collect data on inclusion for a needs assessment in Palabek refugee settlement, Uganda-Established and lead the environmental sustainability working groupSkills used:-Project management: Budgeting, Partner agreements-Python for data analysis, Tableau Public, Basic Excel VBA

Responsibilities:-MEL specialist-Project Development-Trusts & Foundations FundraisingAchievements:-Co-lead the update of CfC’s MEL framework: Overhauling the beneficiary data collection system-I personally raised over £30k from Trust & Foundation applications, as well as having technical input on institutional applications to UKAid, ECW, UNDEF etc.Skills used:-Project development, with technical input on monitoring & evaluation-Institutional fundraising and donor relationship management, including reporting project outcomes and impact to donors-MS Excel, using IATI data

Based in Cusco, Peru, LAFF (Latin American Foundation for the Future) provide education and vocational training support for marginalised young people and support the organisational sustainability of 4 local partner organisations through income-generation, cost reduction initiatives and capacity building for their staff. I implemented LAFF's M&E framework; collecting, analysing and reporting the quantitative & qualitative data to the board of trustees. My findings informed LAFF's strategic planning, and I began the next evaluation cycle by identifying gaps in what we wanted to achieve and the indicators we were using to measure it. I collaborated closely with local Peruvian organizations which improved my Spanish significantly, and I gained a lot of experience in querying databases then presenting the data in pivot tables.

I interned at a microfinance FNGO in Cape Coast, Ghana where I was able to gain experience in the microfinance sector and use in practice the theoretical knowledge I gained throughout university. I initially learned the logistics of running a microfinance organization, but quickly identified that ASA’s annual ‘social performance review’ had some methodological gaps and could be improved. I used my knowledge of qualitative and quantitative research methods to design a survey which collated statistics (used to calculate the multidimensional poverty index) and qualitative feedback from ASA’s clients.I assembled the results in a report, which showed that ASA’s clients were more likely to be rural, women and MPI poor than the general population, achieving ASA’s social targets. On the other hand, it was identified that the poorest of the poor could benefit from more flexible repayment schedules and more reliable disbursement.I faced considerable challenges in minimising evaluator bias from political and logistical sources, but as my first foray into monitoring & evaluation it cemented my decision to do a masters degree in impact evaluation. Also, based on my time with ASA I wrote a successful essay on the difference between the affirmative and transformative changes in poverty yielded by microfinance, and my third year dissertation on the topic of the financialization of poverty through microfinance in West Africa.