A closer look at the kind of problems I solve. Anonymized to respect confidentiality, but real in every detail.
This is the journey I take businesses on. Every project is different, but the transformation looks like this.
The screens below are illustrative mockups built with sample data, not client work.
| A | B | C | D | |
|---|---|---|---|---|
| 1 | Order | Date | Region | Revenue |
| 2 | 1042 | 07/02 | West | $4,210 |
| 3 | 1043 | Jul 3 2026 | west?? | 4180.5 |
| 4 | 1043 | 07/03 | West | #REF! |
| 5 | 1044 | 07/05 | East | $6,930 |
| 6 | TODO: check | East | $2,115 | |
| 7 | 1046 | 7/8/26 | Central | $5,402 |
| 8 | 1047 | 07/09 | WEST | =D2+D3?? |
| 9 | #N/A | 07/11 | East | $3,877 |
Scattered exports, manual formulas, no single source of truth.
| region | total_revenue | orders | avg_order |
|---|---|---|---|
| West | 412,840.00 | 2,981 | 138.49 |
| East | 389,215.00 | 2,744 | 141.84 |
| Central | 301,668.00 | 2,109 | 143.04 |
| North | 138,772.00 | 1,014 | 136.86 |
(4 rows) in 0.038s
One clean table. Every order, deduplicated and validated.
Data cleaned, centralized, and queryable in seconds.
KPIs update themselves. No more waiting on reports.
Generated automatically, every quarter.
Insights packaged for the people who need them.
Daily KPI digest sent. Your team starts the day already knowing where things stand.
Hours saved every week and decisions made with confidence.
Stage 1 of 5
The problem each client came with, and what changed after we worked together.
A large healthcare organization needed to make decisions based on clinical and administrative data scattered across multiple internal systems, without an easy way to see it or trust it was current.
Built interactive dashboards fed by automated data pipelines. Leadership could see KPIs and patient flow issues in near real time instead of waiting on manual reports.
No more waiting on manual reports
A financial regulatory organization's team had inconsistent documentation and reporting, with no easy way to see high-volume trade data at a glance.
Built a web app for live, actionable dashboards, plus standardized reporting protocols, so the team could trust and act on the data instead of digging through raw feeds.
No more digging through raw feeds
Analysts were manually pulling trade data from multiple external portals, which was slow and error-prone.
Built automated processes to pull and store that data. That freed up analyst time previously spent on manual collection, and made the data easier to access org-wide.
Data now easy to access, org-wide
I'm building out sample projects and interactive demos to show more of what's possible. Check back soon.