import pandas as pddf = pd.read_excel('data.xlsx')df.groupby('region').sum()model.fit(X_train, y_train)import numpy as npplt.plot(forecast)df.dropna(inplace=True)from sklearn import metricsprint(df.describe())np.mean(returns) * 252
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Excel & Python Automation

Our Excel automation service uses Python scripts to update spreadsheets and prepare recurring reports. Explore workflow automation models, reporting examples and UTM tracking templates.

Examples

Daily UTM tracker

Every ad link and its clicks logged automatically each day.

Weekly email report

A Python script builds the report and emails it every Monday.

Alerts

Get notified when sales drop or spending crosses the limit.

How we do it in Python

import schedule
def build_report():
    df = load_data(); df.to_excel("weekly.xlsx")
schedule.every().monday.at("09:00").do(build_report)

Excel sheets

Workflow Automation Model

Shows hours and money saved by automating tasks.

Executive SummaryAutomation_EngineROI_Calculator
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Meta Ads Master Suite

Daily tracker designed to be filled automatically.

Daily Link & UTM TrackerExecutive Summary
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Dashboard Template

Drop new data in and the dashboard updates itself.

DashboardData
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