You will get your messy Excel and survey files cleaned, merged and cross-tabulated
Rising Talent
Rising Talent
Project details
Your data sits in several files that don't agree: different column names, duplicate records, dates in three formats, blanks and "N/A" and "-" all meaning different things. Before anyone can analyse it, someone has to make it consistent. That's this project.
YOU GET
• One consolidated, clean dataset (.xlsx + .csv)
• A cleaning log: what was merged, deduplicated and flagged, and why - so your numbers are defensible
• Cross-tabulation tables by the segments you choose
• Where relevant: NPS, CSI or satisfaction indices computed correctly
WHY ME
20+ years in market research - statistician, then data processing manager, then operations director running 150+ projects a year. Cleaning and tabulating survey data was my job long before it was automated. I do it in Python now, but the discipline is the same: 0 is not the same as blank, a duplicate is not a repeat measurement, and a number you can't explain is a number you shouldn't report.
Works with exports from SurveyMonkey, Google Forms, KoboToolbox, ODK and plain Excel.
Send me a sample of your files and I'll tell you what's achievable before you order.
YOU GET
• One consolidated, clean dataset (.xlsx + .csv)
• A cleaning log: what was merged, deduplicated and flagged, and why - so your numbers are defensible
• Cross-tabulation tables by the segments you choose
• Where relevant: NPS, CSI or satisfaction indices computed correctly
WHY ME
20+ years in market research - statistician, then data processing manager, then operations director running 150+ projects a year. Cleaning and tabulating survey data was my job long before it was automated. I do it in Python now, but the discipline is the same: 0 is not the same as blank, a duplicate is not a repeat measurement, and a number you can't explain is a number you shouldn't report.
Works with exports from SurveyMonkey, Google Forms, KoboToolbox, ODK and plain Excel.
Send me a sample of your files and I'll tell you what's achievable before you order.
Data Tool
Microsoft ExcelWhat's included
| Service Tiers |
Starter
$60
|
Standard
$150
|
Advanced
$320
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 1 | 2 | 3 |
Number of Pages Mined/Scraped | 60 |
Frequently asked questions
About Suharyadi
Full-Stack Developer, Dashboards, Data Pipelines & AI Agents
Bogor, Indonesia - 11:35 am local time
My background is unusual for a developer: 20+ years in market research as statistician, then data processing lead, then operations director running 150+ projects a year, before moving full-time into building the tools. I understand data quality from the field up, not just from the database down.
At Indonesia's leading consulting firm I ship production systems for government and enterprise clients, including:
• Real-time monitoring dashboards for national field surveys (thousands of respondents across 36 provinces) — Next.js + PostgreSQL, role-based access, anti-fraud single-use links
• A national geospatial analytics platform: PostGIS + road-network routing + isochrone analysis, rendered with MapLibre
• Python ETL pipelines that sync field data-collection tools into PostgreSQL on production cron jobs
• AI agents on the Claude API: a WhatsApp document-execution agent and browser-automation workflows
• ERP/CRM integration: Odoo-to-PostgreSQL mirror powering finance dashboards
What working with me looks like: I start with a short written plan you approve before I code, communicate async-first in clear English (UTC+7, solid overlap with APAC and European mornings), and deliver in small verifiable increments with clean handover docs.
Tell me about the dashboard, pipeline, or agent you need and I'll reply with a concrete plan for the first week.
Steps for completing your project
After purchasing the project, send requirements so Suharyadi can start the project.
Delivery time starts when Suharyadi receives requirements from you.
Suharyadi works on your project following the steps below.
Revisions may occur after the delivery date.
Review your files and confirm what's recoverable
I open your sample, map the columns, and tell you in writing what can be merged, what looks damaged, and what needs a decision from you. You get this before any processing starts.
Merge, standardise and deduplicate
All files combined into one structure: consistent column names, one date format, trimmed text, duplicates removed. Every change is recorded in the cleaning log rather than done silently.