
Closed
Posted
Mere paas customer data ki ek spreadsheet hai jisme email addresses aur mailing addresses mein galtiyaan, duplication aur inconsistent formatting maujood hai. Main chaahta hoon ki yeh data poori tarah clean, deduplicate aur standardise kiya jaaye. Kaam ki zaroori baatein: • Galat ya adhoore email addresses identify karke correct/flag karo. • Duplicate records merge ya remove karo. • Email formatting ko RFC-standard banao. • Mailing addresses ko pin code ke saath standard postal format mein normalise karo. • Final deliverables: – Cleaned Excel/CSV file – Ek alag error log jisme badle gaye ya delete kiye gaye records ki details ho. Main 99 %+ accuracy expect karta hoon aur data confidentiality par zor deta hoon. OpenRefine, Excel Power Query, Google Sheets scripts ya Python pandas jaise tools ka upyog karna swagat-yogya hai, par zaroori nahin. Timeline teen din ka hai. Shuru mein 100 records ka sample bhej kar quality confirm karwao; final file uske baad ready karo. Similar projects ka experience hai to apni approach aur examples batana.
Project ID: 40318741
7 proposals
Remote project
Active 26 days ago
Set your budget and timeframe
Get paid for your work
Outline your proposal
It's free to sign up and bid on jobs
7 freelancers are bidding on average ₹994 INR/hour for this job

Hello, i read your requirement .I have experience in excel and done many projects, i give you best work on your time and budget. Thanks waiting for your response...
₹760 INR in 40 days
1.7
1.7

Hi, I’m Murtuza, your expert in cleaning and standardizing customer data. With my experience in data management and programming, I guarantee over 99% accuracy. I use tools like Google Sheets to deliver quality results on time. I provide scalable and secure solutions while ensuring your data remains confidential. I adhere to RFC standards to prevent email disruptions and efficiently manage inaccurate or duplicate records. My strong work ethic ensures long-term value. Along with the cleaned dataset in Excel or CSV format, I provide an error log of modifications made. To start, I can send you a sample of 100 records to ensure we align on quality. Let’s connect and get your project moving!
₹1,000 INR in 40 days
1.3
1.3

Hello, I can efficiently clean, deduplicate, and standardize your customer dataset with a strong focus on accuracy (99%+). I have experience working with structured data using Python (pandas) and Excel, ensuring proper email validation, duplicate removal, and consistent address formatting with pin codes. I will first deliver a cleaned 100-record sample for your review, followed by the complete dataset along with a detailed error log of all modifications and removals. Data confidentiality and quality will be strictly maintained. Ready to start immediately. Best regards, Sinchana
₹1,100 INR in 40 days
0.8
0.8

Once you share a sample dataset, I will develop a Python script to identify incorrect or inconsistent data. Based on the findings, we can either correct the data or flag it according to your requirements. With 7.5 years of experience, I have successfully handled large-scale data migrations from CSV, Excel, SQL databases, and spreadsheets to Hadoop by cleaning, transforming, and validating the data.
₹1,100 INR in 30 days
0.0
0.0

With my extensive experience in data management and proficiency in tools like OpenRefine, Excel Power Query, Google Sheets scripts, and Python pandas, I am confident in my ability to deliver high-quality results for your data cleaning project. In the past, I have successfully handled similar projects with similar timelines and required adhering to strict data confidentiality protocols. I completely understand the importance of accurate data for your business processes. I will ensure that all inaccurate or incomplete email addresses are flagged or corrected, duplications are eliminated, and email formatting follows the RFC standard. Similarly, I'll normalize the mailing addresses with standard postal formats including pin codes. To maintain transparency I'll provide a clean and error-free Excel/CSV file as the final deliverable along with an error log detailing any changed or deleted records. In terms of approach, I'd first analyze and identify the scope of work based on the provided sample. Starting with that baseline, I'll clean up your entire dataset to a +99% accuracy level that you rightly expect. What sets me apart is my ability to not just fix problems but to find innovative solutions to prevent them from arising again in future processes.I belive,I am the best fit for your project because my background comprises of website development through python which indirectly prove my capabilities.
₹1,500 INR in 40 days
0.1
0.1

Hello, I can clean, deduplicate, and standardize your email and address data with high accuracy. I will identify invalid emails, remove duplicates, and format the dataset properly for analysis. I can start with the 100-record sample to demonstrate accuracy and provide a clean output along with an error log. I am comfortable using Excel, Power Query, or Python if required. Looking forward to working with you. Best regards, Divya
₹750 INR in 40 days
0.0
0.0

Jaise hi aap mujhe sample dataset share karenge, main Python script develop karunga jo galat ya inconsistent data ko identify karegi. Findings ke basis par, hum data ko fix kar sakte hain ya aapke requirement ke hisaab se flag kar sakte hain.
₹750 INR in 40 days
0.0
0.0

Barharwa, India
Member since Aug 22, 2025
$15-25 USD / hour
$250-750 USD
₹600-1500 INR
₹100-400 INR / hour
₹750-1250 INR / hour
₹100-400 INR / hour
$10-30 USD
$10-30 USD
₹600-1500 INR
₹600-1500 INR
$250-750 USD
₹12500-37500 INR
$10-30 CAD
$250-750 USD
$30-250 USD
$2-8 USD / hour
£250-750 GBP
€250-750 EUR
₹100-400 INR / hour
₹400-750 INR / hour