xlsxv0.1.0

Build a complete three-statement financial model (income statement, balance sheet, cash flow) for a SaaS startup. Incorporate industry-standard color coding and formula conventions, place all assumptions in dedicated cells, and ensure zero formula errors.

Create a monthly sales dashboard that aggregates data from CSV exports, uses SUMIFS and AVERAGEIFS formulas to compute KPIs (revenue, growth rate, win rate), and includes conditional formatting for quick visual analysis.

Develop a budget tracking spreadsheet that compares actual spending against budget across departments, using Excel formulas for variance percentages and automatic flagging of overspending. Preserve existing template formatting when updating.

Design an investment portfolio tracker that pulls current prices from external links (red text), calculates returns using XIRR, and supports what-if scenarios by modifying blue hardcoded inputs. Includes recalc.py for formula updates.

Use pandas to read messy .xlsx or .csv files, clean and transform data, then write the clean dataset back with Excel formulas for summary statistics. Provide a repeatable script for monthly updates.

Sell industry-specific financial model templates (e.g., SaaS, real estate, manufacturing) with built-in formulas, formatting, and documentation. Users can customize inputs in blue cells.

Offer services to create custom Excel solutions, automate reporting, and fix formula errors for businesses. Includes training on best practices like color coding and formula construction.

Provide recurring data cleaning, analysis, and visualization using the described pandas and openpyxl workflows. Deliver clean, formula-rich spreadsheets monthly or quarterly.