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I have a spreadsheet that lists thousands of global company names but many of the crucial marketing fields are blank. The gaps include physical address, country, phone number, email, website and several other market-facing details. Your task is to take this partial sheet and return it fully populated, clean and ready for campaigns. Because the file is already in spreadsheet form, you can plug your preferred workflow straight into it. I am open to whatever mix of AI, machine-learning look-ups, NLP enrichment, smart scraping or reliable APIs you feel will get the job done quickly and accurately; the exact tools are up to you as long as the finished data is correct and consistently formatted. Please make sure every record is: • Completed with address, country, main phone, generic or departmental email, and current website • Verified against at least one public or authoritative source to reduce bounce or wrong-number risk • Returned in the same column structure so I can import it without re-mapping anything Send back the updated spreadsheet plus a short note on the sources or automation you used for traceability. If you can start right away and hit a solid accuracy rate, I’m ready to move forward immediately.
Projektin tunnus (ID): 40328788
11 ehdotukset
Etäprojekti
Aktiivinen 17 päivää sitten
Aseta budjettisi ja aikataulu
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Rekisteröinti ja töihin tarjoaminen on ilmaista
11 freelancerit tarjoavat keskimäärin ₹3 973 INR tätä projektia

I have experience building data enrichment pipelines that combine APIs, smart scraping, and validation layers to turn incomplete datasets into clean, reliable marketing assets. My approach I’ll treat your spreadsheet as the base dataset and run it through a structured enrichment pipeline: Company Resolution: Match each company name to verified entities using sources like business directories, official websites, and trusted aggregators Data Enrichment: Extract and populate: Physical address & country Main phone number Website (primary domain) Generic/business email (where publicly available) Multi-source Validation: Cross-check each field against at least one additional source to reduce errors and bounce rates
₹4 000 INR 7 päivässä
4,3
4,3

Hi there ? This is exactly the kind of project where a smart workflow beats manual effort—and that’s how I like to work. Instead of just filling blanks, I focus on building a reliable enrichment process so your data is not only complete, but campaign-ready. Quick question: Do you prefer strictly verified data (slower but highly accurate) or a balance of speed + validation? I can adjust the approach accordingly. How I’ll handle your sheet: Enrich each company with address, country, phone, email, and website Use a mix of AI tools, structured search, and trusted sources Cross-check data to reduce bounce rates and incorrect info Maintain your exact column structure—no rework needed Keep formatting consistent for easy import I’ll also include a short note on sources/tools used for transparency. I’ve worked on similar data enrichment and lead generation tasks, so I understand the importance of accuracy, consistency, and clean formatting. I’m ready to start immediately and can deliver with a strong accuracy rate. If this sounds like a fit, feel free to message me—I can even enrich a small sample so you can review the quality first. Best regards, Harri
₹2 000 INR 2 päivässä
1,3
1,3

Filling critical marketing data gaps for thousands of global companies demands not only precision but also a strategic blend of advanced data enrichment techniques. Understanding the importance of accuracy and consistency in fields like address, phone number, email, and website, this project requires a meticulous approach to ensure the dataset is campaign-ready and seamlessly integrable. The challenge lies in enriching incomplete records with verified, up-to-date information sourced from authoritative databases, while maintaining the existing spreadsheet’s structure for immediate use. Leveraging a combination of AI-driven data mining, natural language processing, and smart web scraping alongside robust API integrations will ensure comprehensive coverage and high accuracy. Automated verification against trusted public and commercial sources will minimize bounce rates and erroneous contacts, while NLP techniques will help extract and standardize nuanced contact details. The workflow will be designed to plug directly into your existing spreadsheet format, preserving column integrity and enabling smooth import without additional mapping. Commitment to delivering a clean, enriched, and fully verified dataset within the agreed timeline is paramount. Along with the updated spreadsheet, a detailed summary of the data sources and automation methods used will be provided for full transparency and traceability. Ready to commence immediately, the focus is on delivering a reliable, high-quality output that drives effective marketing campaigns and maximizes your outreach potential. Let’s connect to finalize the next steps and get started swiftly.
₹11 250 INR 7 päivässä
0,0
0,0

Hi! Excel/CSV automation with Python pandas. Data cleaning, conversion. 100% accurate. Fast (24h). Your specific need? Ready!
₹1 500 INR 5 päivässä
0,0
0,0

Hello, I have over 5 years of experience in AI/ML development and have successfully implemented workflow automation using platforms like Zapier and Integromat. My background includes expertise in TensorFlow and Python, allowing me to create customized AI-driven tools to optimize operations. I’m also skilled in collaborating with diverse teams to ensure a smooth implementation process. I’m eager to leverage my technical skills and problem-solving abilities to help streamline your workflows and improve efficiency across all departments. Let’s discuss how I can contribute to your vision. Best Regards, Yusuf.
₹7 000 INR 7 päivässä
0,0
0,0

Hi, I can enrich your spreadsheet with verified company data—address, country, phone, email, and website—using a smart mix of APIs, web research, and validation checks to ensure high accuracy and consistency. I’ll return a clean, ready-to-use file in the same structure along with source notes—let’s connect and start immediately!
₹1 500 INR 3 päivässä
0,0
0,0

Hi, this is right in my wheelhouse. I build data enrichment pipelines using Python and can get your spreadsheet fully populated. My approach for your company data enrichment: 1. Parse your existing spreadsheet, identify gaps per record 2. Use a combination of web scraping (company websites, Google Maps, business directories) and API lookups to fill missing fields: address, country, phone, email, website, etc. 3. Run NLP-based matching to handle company name variations and ensure correct records 4. Email verification pass to confirm deliverability 5. Deliver the enriched spreadsheet with a confidence score column so you know which records are solid vs. best-effort I've built similar enrichment tools for B2B datasets with thousands of records. My typical accuracy rate is 90%+ on verifiable fields. I'll start with a sample batch of 100 companies so you can validate quality. Full delivery within 4 days of approval. Happy to discuss your specific field requirements.
₹3 000 INR 4 päivässä
0,0
0,0

Ghaziabad, India
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