Consulting

Struggling with your data? I can help.

Data scattered across spreadsheets, CRMs and field forms, with no single source of truth? I build the pipeline that gets it into one place, tested and refreshed automatically.

Reports that take days to compile, or dashboards nobody trusts? I design the analytics layer and BI dashboards your team can actually rely on for daily decisions.

Applying for grants or running a portfolio in development finance and need evidence that holds up? I combine credit analytics, financial modelling and grant writing to make the case with real numbers.

MSc Statistics & Data Science (Hasselt University), with 8 years spanning business consulting, data science and analytics, grant writing and data infrastructure for small businesses.

Work with me

  • Discovery call: A free, no-obligation conversation to understand your data, your constraints, and what “done” looks like for you.
  • Proposal: A short written proposal with clear deliverables, timeline and pricing, no surprises once work starts.
  • Flexible engagement: From a single audit or model build to an ongoing retainer alongside your team, scoped to match how much support you actually need.

How engagements are priced - exact rates are set in the proposal once scope is clear:

  • Hourly: best for short, well-defined tasks such as a code review, data audit, or unblocking a specific pipeline or model issue.
  • Project-based: a fixed price for a defined deliverable, such as a business strategy document, business plan, financial model, credit-scoring model, dashboard build, or grant application.
  • Retainer: a recurring monthly arrangement for ongoing support, such as reporting cycles, dashboard maintenance, or continued modelling work.

Services I offer

Business & Strategy Consulting

  • Business plans & financial models: full business plans backed by working financial models: unit economics, revenue and cost build-ups, cash-flow projections and multi-year forecasts.
  • Viability & investment readiness: assessing whether a business model holds up, where the margins actually sit, and what an investor or lender would need to see before committing.
  • Scenario modelling & feasibility studies: testing a plan against its assumptions, running best/base/worst cases, and sizing the downside before money is spent.
  • Field research & data collection: designing surveys and instruments, recruiting and managing enumerator teams, and running collection in the field so decisions rest on primary evidence rather than guesswork.
  • Applied statistics for business problems: bringing statistical and modelling techniques to commercial questions: pricing, segmentation, demand estimation and portfolio performance.

Analytics & Dashboards

Research & Grant Support

Data Engineering & Pipelines

  • Production data platforms: CRM-to-warehouse pipelines, transformed and tested with dbt, and orchestrated with GitHub Actions CI/CD.
  • Data governance & SOPs: data dictionaries, metric glossaries and documentation that make a pipeline usable by non-technical teams.
  • Spatial and geospatial data workflows: See Creating Heatmaps in R.

Portfolio

Drawn from client work; client names withheld where engagements are ongoing.

  • Clean-energy microfinance lender, Uganda · 2018–present: Built the production data platform (CRM → Supabase/PostgreSQL → dbt → Looker Studio) now used daily by credit, operations and finance teams; developed the credit-scoring models underpinning a 4,000+ customer lending portfolio.
  • International development-finance funder programme, energy access · 2022–2023: Led research and data collection for an on-/off-grid energy access programme; managed underwriting, loan collections and credit scoring. Programme received a 2023 international sector award.
  • Bilateral development agency, clean cooking sector · 2023–2024: Authored the grant applications and served as data lead across two phases of a national clean cooking supply-chain activation plan, securing $377k combined and designing the accompanying carbon/MRV framework.
  • Impact investor, women-owned MSME financing · 2021–2022: Set up a new branch operation from scratch, team, data systems and reporting for a $260k productive-use asset financing pilot targeting women-owned businesses.
  • Private foundations, core institutional funding · 2021–2025: Data scientist and reporting lead across four multi-year core-funding grants totalling over $780k, supporting fundraising strategy and organisational reporting.

See the full project list.

Let’s talk

If you’re exploring something where better data could change the outcome, get in touch: nangosyahtom@gmail.com.