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MingPan AI - a bilingual BaZi / Four Pillars self-reflection MVP built with Next.js and TypeScript. I implemented deterministic chart analysis, archetype matching, survey unlocks, Supabase feedback collection, and privacy-conscious analytics. Live demo: https://mingpan-ai.vercel.app/
The network for creativity
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Creatives on Contra have earned over $150M and we are just getting started
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A Kajabi website doesn’t need more sections. It needs better decisions.
We recently worked on a course website where the original structure had too many navigation options, pricing was difficult to find, and the strongest social proof was nowhere near the purchase decision.
The fix wasn’t adding more content.
We simplified the navigation, made the main CTA obvious, brought testimonials closer to the offer, and made the path to checkout much shorter.
That’s one of the biggest things we’ve learned from working on Kajabi websites:
If everything is important, nothing is.
A premium course website should guide visitors toward one clear next step without making them figure it out themselves.
Just wrapped up a 3-hour meeting with a lead who is now officially a client 😊
I went into the meeting feeling pretty nervous. The project had great potential, and I was slightly concerned that budget might become a sticking point.
But the conversation went better than I could have expected. They were really impressed with the project overview, architecture, and the level of attention to detail we brought to the table. The best part? They didn’t even try to negotiate the price.
Such a great reminder that when clients clearly see the thought, planning, and value behind the work, the conversation becomes much less about cost.
Really excited to kick things off next week! 🚀
I think the project overview did the pricing work before the number came up. Showing the hard decisions early ties the fee to fewer surprises instead of a pile of hours.
I designed a Business Intelligence and financial reporting solution that transforms scattered data from multiple sources into centralized, validated, and decision-ready information.
The solution automates the complete reporting workflow: connecting and consolidating data, cleaning and standardizing information, applying business rules, building a structured data model, calculating financial KPIs, and generating executive dashboards and recurring reports.
Instead of manually combining spreadsheets and preparing reports every reporting period, the workflow creates a repeatable data pipeline that reduces manual work while improving consistency, traceability, and visibility.
Key capabilities include:
Multi-source data consolidation
Automated ETL and data transformation
Data validation and quality controls
Power Pivot data modeling
Financial KPI calculations
Interactive executive dashboards
Automated and scheduled reporting
Exception and duplicate detection
Audit trails and process traceability
Technologies: Excel, Power Query, Power Pivot, VBA, DAX, SQL/CSV data sources and automated reporting workflows.
The goal of the project is not simply to create a dashboard, but to build the automated data process behind it — turning raw information into reliable insights that can support faster business decisions.
All information, companies and metrics displayed in this case study are fictional demo data created exclusively for portfolio purposes.
