Motion without reliable direction
Decision count
Right00Wrong00Cost−0×Better systemslead tobetter decisions
Data & BI Analyst · Finance Analytics · Product Analytics · Automation
Every decision moves the businessThe wrong one stalls it
Reliable signals compound progress
Decision count
Right00Wrong00Value+0×The transformation
From chaos
to a system
Sources connect once. Logic runs reliably. Clear Power BI views arrive ready for the people who need to act.
BeforeFiles become the process
Budget_FINAL.xlsx
Hours_v3.xlsx
Clients_NEW.xlsx
Revenue_copy.xlsx
Costs_June.xlsx
Report_final_v8.xlsx
Utilization.xlsx
Rates_approved.xlsx
Forecast_new.xlsx
Actuals_copy.xlsx
Budget_v2.xlsx
Hours_Jan.xlsx
Hours_Feb.xlsx
Client_map.xlsx
Rates_FINAL.xlsx
Revenue_actual.xlsx
Revenue_plan.xlsx
Cost_by_person.xlsx
Profitability.xlsx
Utilization_new.xlsx
Forecast_Q3.xlsx
Actuals_June.xlsx
Team_capacity.xlsx
Write_offs.xlsx
Invoices_open.xlsx
Master_copy.xlsx
Report_NEW.xlsx
Latest_numbers.xlsx
Data_export.xlsx
Final_final.xlsx
Which file is right?AfterThe system does the work
Profitability & cost
Workforce efficiency
TeamHoursRate
Advisory31163%
Disputes28460%
Pro bono4012%
Admin5618%
ETL & shared business logicExtract → clean → join → validate
PythonSQLControlsFinance logic
Time spent10 person-hours
People involved2–3 contributors
Preparation cost10 person-hours × avg. employee rate
Time spent10 minutes
People involved1 owner
Refresh costNear-zero running cost
Selected systems
Problem → Solution
01Decision system · Flagship case
Profitability & Workforce Efficiency
A finance-led analytics system that connects time, revenue, cost and utilization into one operating view.
- Power BI
- Python
- PostgreSQL
- Excel
- Azure
- Railway
Result10 hours → 10 minutesRecurring reporting cycle
02Data foundation
Client Identity & Data Quality Layer
A reusable client directory that resolves inconsistent identities and gives downstream reporting a dependable foundation.
- Python
- Streamlit
- PostgreSQL
- Google Sheets
ResultOne trusted client recordAcross reporting flows
03Reporting automation
Automated Client Reporting
A one-click app that turns Worksection tasks and costs into formatted, review-ready client reports.
- Python
- Streamlit
Worksection API- Excel
ResultManual Excel → one clickPer-client reporting cycle
04Finance product
Legal Pricing & Margin Calculator
A practical pricing tool that turns staffing assumptions, rates and delivery scenarios into a clear margin decision.
- Python
- Streamlit
- PostgreSQL
- Excel
ResultPricing with margin logicBefore work begins
05Workflow automation · Open-source case
Law Practice Intake Bot
A Telegram intake system that turns unstructured client messages into guided flows, structured lead records and immediate admin action.
- Python
- Telegram
- SQLite
- Google Sheets
ResultAn enquiry → a ready leadStructured intake from Telegram
06Finance automation · MVP
Bank Statement Automation
A controlled pipeline that turns PDF bank statements into reviewed, de-duplicated entries in Finmap.
- Python
- Streamlit
- SQLite
Finmap API
ResultBy hand → a reviewed importStatement processing
