Struggling with your data, reporting, strategy and operations? I can help.
Data scattered across spreadsheets, CRMs and field forms, with no single source of truth? I build the data pipelines that bring it together so that teams can rely o the data.
Reports that take days to compile, or dashboards nobody trusts? I design the analytics layer and BI dashboards your team consistent, reliable information for day to day operations and decisions.
Applying for grants or running a portfolio in development finance and need evidence that holds up? I combine analytics, financial modeling and grant writing to build a strong case backed by real numbers.
Alongside the technical work, I also bring hands-on experience in project and operations management, research and field data collection, stakeholder engagement, team management and process improvement. I’ve worked closely with credit, finance and operations teams to improve workflows, build practical tools, strengthen reporting and turn data into processes that people can actually use.
I hold a MSc in Statistics & Data Science, with 8 years of experience across 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 as succesful outcome looks like.
- Proposal: A short written proposal setting out the scope, deliverables, timeline and pricing, to ensure I can execute with full consent to achieve the set out goals.
- 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, feasibility study, 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 modeling work, project support work and operational reporting.
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 modeling & 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 and data science for business problems: bringing statistical and modeling techniques to commercial questions: pricing, segmentation, demand estimation and portfolio performance.
Analytics & Dashboards
- BI dashboards: Shiny Apps, Power BI, Looker Studio and similar tools set up so credit, operations and finance teams see the same numbers, updated daily. See the award-winning Utilities 2.0 programme.
- Predictive modeling & classification: credit scoring, segmentation and machine-learning workflows. See Tiny ML Pipeline, the tidymodels walkthrough.
- Exploratory & spatial analytics: See the Kampala transit network analysis and the interactive music dashboard.
Research & Grant Support
- Grant writing & strategy: framing the evidence base and narrative behind funded programmes. See the national clean cooking activation plan (MECS/FCDO).
- Financial & credit-risk modeling: underwriting models, portfolio risk metrics and business-model financials.
- Applied research design: survey design, statistical analysis and reporting. See a sample of applied statistical modeling.
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 programs; 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 totaling 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.