Excel Email Cleanup Automation

Hello. I read your requirement i will do that. Please come on chat we will discuss more about this. I will waiting your reply

I want to help tidy up your Outlook contacts by handling your massive excel file with over 4200 email addresses. Being highly competent in both Excel and data manipulation, I can clean up the CSV file using an efficient formula or script ensuring that the "SMTP:" prefix is eliminated. As a software engineer with a background in data and AI, dealing with large amounts of data is my bread and butter. I guarantee to eradicate all duplicate emails while maintaining the original CSV format you require. With my skill set ranging from HTML/CSS, JavaScript, React to Python, I can guarantee that this project will be handled accurately and efficiently. My proficiency in Python will come into play for effective data processing in line with big data practices. Moreover, my understanding of AI tools including OpenAI and Pinecone could prove useful for future-proofing the solution by incorporating smart automation Ai techniques. Choosing me means hiring an individual not only skilled at writing impactful formulas but also experienced in providing comprehensive data analysis just as you desire. Allow me to leverage those skills to streamline your Outlook contacts and make them more manageable. Let's make your email management a breeze together!

Relevant Work Examples: • Bulk contact cleanup – Automated VBA script to process 10,000+ CRM records, removing prefixes and duplicates • Email list normalization – Python/Excel solution for deduplication and field formatting in large .csv files • Data hygiene automation – Custom Excel macros for HR export files, preserving original structure Development Approach: • Analyze your .csv and confirm column structure (focus on column J for email cleanup) • Write an Excel formula or VBA script to strip "SMTP:" from all email addresses • Implement deduplication logic to retain only unique emails, ensuring no data loss in other fields • Test output to guarantee .csv format is preserved and ready for Outlook import • Provide clear instructions or a reusable script for future use Questions: • Should duplicates be removed based solely on the email in column J, or consider other fields? • Is VBA scripting acceptable, or do you prefer a pure formula-based approach? • Any specific Excel version or platform requirements (Windows/Mac)? • Would you like a backup of the original .csv before processing?

Hi there, I'm ready to help clean your Outlook contacts CSV file. I will remove the "SMTP:" prefix from email addresses in column J, eliminate duplicate emails while retaining only unique ones, and ensure the original CSV structure is preserved. With solid experience in Excel and data manipulation, I can deliver accurate and efficient results promptly. Looking forward to working with you. Best regards, Abdul Muqeet

Hello! I’m Belete Degu Zelele, A lecturer and researcher , and I specialize in data processing and automation using Excel and Python. I fully understand your requirements to: Remove the "SMTP:" prefix in column J, Eliminate duplicate email addresses while keeping the original .csv format intact. With over 5 years of experience working with large datasets and automating repetitive Excel tasks, I can deliver a clean, unique, and properly formatted CSV file efficiently. I will either use an Excel macro or a Python script (depending on your preference) to ensure the process is fully automated, accurate, and repeatable. ✅ Ready to start immediately ✅ Delivery in less than 24 hours ✅ Will provide full script or formula for future use If you have any additional formatting preferences or validation checks, I’m happy to include those too. Let’s make your contact list clean and ready for use!

With my solid foundation in data manipulation and extensive experience with diverse data formats including .csv files, I am confident in my ability to deliver an efficient and effective solution for your Excel Email Cleanup Automation project. As someone with years of experience as a Data Scientist, I have hands-on experience in data cleaning, transformation, and preprocessing using tools like Pandas and SQL. Having dealt with large unstructured datasets, I have built robust ETL pipelines to handle data cleaning tasks similar to yours. Moreover, my mastery of the Python programming language, which includes its Excel automation capabilities using libraries like Pandas and Openpyxl, positions me favorably for this job. I have been highly regarded by my clients for my ability to write effective scripts that deliver accurate and swift results. Overall, my expertise in data handling, programming/scripting abilities along with an unwavering commitment to provide quality solutions can add immense value to your project. Let us discuss the fine details for a better understanding of how I can help automate your Email Cleanup process using Excel.

Dear Hiring Manager, I am Ahaiwe Helen Chidinma. As an Excel automation expert, I'm thrilled to offer a winning solution for your email cleanup project! I'll meticulously filter out blank and hidden character emails, eliminate all duplicates, and organize your data perfectly. My approach ensures accuracy, efficiency, and a clean, sorted email list ready for your needs. Let's make your data sparkle and automate for future ease. I'm dedicated to delivering exceptional results, quickly and precisely. Let's discuss how I can exceed your expectations and ensure your data is pristine!

Dear client. I am writing to express my interest in assisting you with the resolution of the validation error currently affecting your EXCEL project. With extensive experience in EXCEL development and a strong background in transforming data, I am confident in my ability to identify and resolve the issues you are facing. My Qualification is: - C#, VB, EXCEL, .NET - Microsoft SQL server I am eager to bring my skills and experience to your project and help ensure that your contact form operates smoothly and efficiently. Please feel free to contact me to discuss this proposal further or to address any questions you may have. Thank you for considering my proposal.

Hi, I have read your requirement about 4200 email data cleansing (remove smtp:) and unique . I have created and please kindly contact to let you see the working excel and let you decide it the next steps. Thank you. Profile: I am a professional IT for 17 years as developer, system analyst in multi national companies (Chevron, Mitsubishi, INPEX). Hoping that experiences could give you confidence to,at least, contact me for delivering good quality and value for your project. Best regards,

I have extensive experience in Excel-based data manipulation and can efficiently automate the process to remove the "SMTP:" prefix from email addresses in column J, eliminate duplicate entries while keeping only unique emails, and preserve the original .csv structure throughout. Whether through a well-structured Excel formula or a custom script (e.g., using VBA or Python if needed), I’ll ensure the output is clean, consistent, and ready for use without any data loss. Let me know if you'd like the actual formula or script along with the proposal