Wasi Mahin

The Problem

Manual PDF-to-ERP data entry consumed significant staff hours per batch. No API existed. No ERP credentials available. The only path was a human typing into Business Central, field by field.

The Approach

Zero-API desktop RPA: parses vendor invoice PDFs with pdfplumber, extracts structured data, then drives the Business Central UI directly via pyautogui — no credentials, no integration, just results.

The Problem

Journal entry processing required manually reading DocuSign PDFs and CashNet Excel files, then re-entering every debit/credit line into Business Central — slow, error-prone, done repeatedly.

The Approach

Automated end-to-end: reads PDF and Excel sources, structures debit/credit lines, then enters complete journal entries into Business Central via hotkey automation — no manual re-keying.

The Goal

Build a real-world BI problem from scratch: combine disparate datasets, design a data model, and create an interactive dashboard that tells a narrative story rather than just displaying numbers.

The Result

Treats bounty as a proxy for value and risk — analyzing distribution across crews, arcs, and regions. Unified Kaggle datasets into a single model; Chart.js visualizations let users explore patterns interactively.

The Question

Is economic mobility still achievable for the average household? The team chose to go beyond surface-level income data and interrogate purchasing power, regional inequality, and structural cost-of-living shifts.

The Analysis

End-to-end economic research: income growth vs. household purchasing power, cost-of-living adjustments, regional wealth inequality — visualized in Tableau with a clear narrative arc.