Data Cleanup & Insight Dashboard for Smarter Decisions

Rajarshi Dasgupta

Starting at

$

1,000

/wk

About this service

Summary

I’ll take your messy, inconsistent data and turn it into a clean, structured dataset—ready for reporting, filtering, or decision-making. From formatting fixes to insight summaries, everything is tailored to your business needs. The result? Data you can actually use, without the cleanup headache.

Process

Data Intake & Assessment You’ll share your dataset (Google Sheets, Excel, or CSV), and I’ll assess the structure, issues, and what “clean” looks like for your context.
Cleanup & Standardization I’ll remove duplicates, fix formatting issues, align column structures, and standardize inconsistent values—making your data reliable.
Reformatting & Delivery Structure The cleaned data will be delivered in a structured, filter-ready format—either in Google Sheets or Airtable, depending on your preference.
Insight Extraction From the cleaned dataset, I’ll pull key insights (like trends, averages, or outliers) and summarize them for easy consumption.
Optional Workflow Automation If relevant, I’ll set up a basic automation (using Make or Zapier) to streamline recurring data entry or cleanup tasks.
Final Walkthrough & Handover You’ll receive the cleaned file, insight summary, and a quick guide to help you maintain or extend the process.

FAQs

  • What kind of data can you clean?

    Mostly anything in spreadsheets—customer lists, survey data, order logs, form submissions, CRM exports, etc. If it’s in rows and columns, we’re good.

  • Do I need to clean the data before sending it?

    Nope. Send it as-is. The messier it is, the more valuable this service becomes.

  • How will the cleaned data be delivered?

    You’ll receive it in Google Sheets or Airtable (your choice), formatted and ready for use—sorted, filtered, and easy to analyze.

  • Can you also analyze the data and give me some insights?

    Yes—that’s part of the package. I’ll extract key patterns, trends, or outliers and summarize them in plain language or visual markers.

  • Can this process be automated for future data?

    If you regularly deal with similar datasets, I can create an automation flow using Make or Zapier, so you don’t have to repeat the same cleanup steps.

  • What if my dataset is huge or highly complex?

    No problem—just let me know upfront. We’ll scope it together and adjust the approach if needed.

What's included

  • Raw Data Audit & Cleanup

    Review and clean your raw dataset—fix formatting, remove duplicates, normalize fields, and ensure consistency across records.

  • Structured Output & Formatting

    Deliver a cleaned version of your dataset in Google Sheets or Airtable with clear headers, standardized values, and filtering-ready structure.

  • Insight Summary & Highlights

    Generate smart summaries or insights from the cleaned data—e.g., average values, performance trends, anomalies—delivered as bullet points or visual callouts.

  • Setup Guide or Automation (Optional)

    Provide an optional workflow using Make or Zapier to automate recurring cleanup or export tasks, along with a guide for basic maintenance.

Skills and tools

AI Automation

Data Analyst

Data Modelling Analyst

Airtable

Airtable

Google Sheets

Google Sheets

Make

Make

OpenAI

Zapier

Zapier

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