Who else agrees that messy data sets are the biggest headache🧠
Data records are one of your corner posts of you business, with messy data comes messy and chaotic business.🔥
Am I the only one who continues to work and improve on skills needed to do this correctly and accurately, or do you the same.
Does your inbox get flooded with emails every day?
Client messages, invoices, meeting requests, follow-ups... and somewhere in that mess is an important email you forgot to reply to.
Reading every email, deciding what's urgent, and keeping track of follow-ups shouldn't take up half your day.
That's why I built Smart Gmail Triage Automation.
It's an AI-powered inbox assistant built with n8n, Gmail, and OpenAI.
Here's what it can do:
→ Read and categorize incoming emails
→ Flag urgent messages and organize your inbox with labels
→ Turn important emails into Google Tasks
→ Create calendar reminders for follow-ups
→ Prepare reply drafts for you to review and send
The goal is simple: spend less time sorting emails and more time getting actual work done.
I've shared the full workflow and technical case study on my Contra profile. Feel free to check it out!
Dealing with inbox overload? Send me a DM. I'd be happy to discuss an automation built around your workflow.
Data Cleaning & Formatting | Excel & Google Sheets
Raw data is often inconsistent, duplicated, or difficult to analyze. Proper data cleaning helps make it more accurate, organized, and ready for analysis.
What I focus on:
-Removing duplicate records
-Handling missing and inconsistent values
-Standardizing data formats
-Organizing datasets for easier analysis
My goal is to transform messy data into clean, structured, and analysis-ready datasets.
if you need support with data cleaning and formatting, feel free to connect with me.