Comprehensive Consumer Personal Information Research
$5000-10000 USD
Kulipwa wakati wa kujifungua
I am seeking an experienced researcher who can scrape consumers' information or have resourse about that . We are a Amazon trade company and have 40000 purchasing records per month. We want someone to help us find those consumers' information(email, phone, etc) based on the name/postcode we have.
Key Deliverables:
- Accurate, comprehensive report on the defined consumer information.
- Detailed investigation of different aspects
- Fully formatted written report ready for interpretation and action.
In your application, please include a detailed project proposal outlining your approach to this task, anticipated challenges, and your projected timeline.
Ideal Skills:
- Strong research skills
- Attention to detail
- Data analysis competence
- Report writing expertise
- Excellent English proficiency
Experience in similar projects is a bonus. Looking forward to your proposals and working together successfully.
Kitambulisho cha Mradi: #37782697
Kuhusu mradi
23 wafanyakazi huru wanazabuni wastani wa $7277 kwa kazi hii
With a project as intricate and demanding as this, you need someone who can do more than just skim the surface. You need a professional who thrives in conducting thorough, deep-diving research to extract precisely what Zaidi
Hello Felix P., I have read the requirements for the project and I am confident in my ability to deliver it with perfection. Please feel free to connect in chat if you have any questions. Thank you.
Hi Felix P. It seems like you're looking for a senior engineer who can complete the project - Comprehensive Consumer Personal Information Research. I am writing to express my keen interest in your project since I have Zaidi
Hello Leveraging my strong background in research, data analysis, and report writing, I am confident that I am the right fit for your project. With my proficiency in Python, SQL, Power BI and Power Query, I can efficie Zaidi
Sounds like IdMapping which is a project I have implemented based on joining external data scraped from web.