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Data Mining Jobs

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Fixed-Price - Entry Level ($) - Est. Budget: $12 - Posted
The job is very simple and it is done with ease if you have available tools to run it. This is the site. https://www.sfn.org/member-center/member-directory I need to be taken throughout the contact list. if you do a search you will see that there appears a list of names I need to detail the data of each like this in the attached img ------------------------------- the work is done on the entire database and all directories I need the data on columns XLS -------------------------------- Now ... I do not want answers like "the budget is too low" or "I want to be hired by the hour," or that "everything must be done by hand" or are capable and have the tools or not you are capable and you do not have the tools then cabdidatevi ONLY if you have the requirements and capabilities otherwise within 12 hours you will be reported as a spammer -------------------------- I have many works of this kind of do so who wins it will have a lot of work over time - if able and interested
  • Number of freelancers needed: 3
Skills: Data mining Data Backup
Fixed-Price - Entry Level ($) - Est. Budget: $35 - Posted
I need to to scrape contact info from this site: http://www.greenresourcecouncil.org/find-nar-green-designee and place content into this template: http://support.nimble.com/customer/portal/kb_article_attachments/72244/original.csv?1451947873 Let me know if it is doable. Thanks!
Skills: Data mining Web scraping
Fixed-Price - Intermediate ($$) - Est. Budget: $30 - Posted
I am looking for someone to extract the data available on this website: http://westford.patriotproperties.com/search.asp The resulting data needs to be in a usable MS Excel Format. In order to get the data base to render the search parameters of Baths 1-99 can be used (photo attached). Please indicate a basic sample of the format of your results with your bid. I am looking for someone who can work on this today for delivery by 9AM EST on 1/31/2016- please indicate when you could deliver the resulting file.
Skills: Data mining Microsoft Excel Web scraping
Hourly - Entry Level ($) - Est. Time: More than 6 months, 10-30 hrs/week - Posted
Must have experience in LinkedIN API. You will get lists of 1,000 companies and be expected to get the CEO' name and email. Hey guys, This is a simple task which is outlined below: - Using the company name I have provided, please find the CEO or top decision maker of the person and find their email. - We have two types of work, find the CEO or top decision maker and, - Find the next decision maker (in that case I will provide the name of the person who we don't want) - Use anyway you have in the past (raportive/ sellhack etc) - put their email in a spreadsheet please write "game boy" in the cover letter so I know you read this. --- Skills: linkedin, marketing, email-support, research
  • Number of freelancers needed: 2
Skills: Data mining API Development Email Handling Email Marketing
Hourly - Entry Level ($) - Est. Time: More than 6 months, 30+ hrs/week - Posted
We need some help gathering company information for specific niche industries. We will provide all the details that is needed. We will need to put this in a spreadsheet format. We would need to have company name, contact information, address, summary of company, services, website, Social Media addresses, etc We will provide provide more details and format needed. However we need to the cost and how long it would take of gathering this many companies. We will of course give a very specific niche of companies we would need you to find. 25 companies 50 companies 100 companies 250 companies 500 companies 1000 companies 2000 companies Need to be able to skype when needed.
  • Number of freelancers needed: 5
Skills: Data mining Article Writing Copywriting Data Entry
Fixed-Price - Intermediate ($$) - Est. Budget: $200 - Posted
I have an excel sheet with timestamps through various doors in a building we're using to try and build a model of a work period spanning 4 years. The date is incomplete and complicated by the fact that there are no badge swipes at exits - only entrances. We need a model hours worked each day in the spreadsheet with and some assumptions made/explained. Known issues: 1. First timestamp of the day is usually an entrance into a building, but not always. 2. Roughly 60% of last badge swipes at close enough to exits (like the elevator for example we can assume this is the end of the workday) 3. The remaining 40% of timestamps are into different areas of the building- not near assumed exits. Using the available data in the spreadsheet can you make assumptions for the time the person would have left the building? 4. Some days only have time entries and no known locations 5. Some workdays last into overnight into the next calendar day. These should be counted as one 'workday' 6. There is a period of time that data is needed with no records at all. How do we fill in these blanks? Ideas for figuring this out include: a) how long did they usually stay in the 'last swipe' location. b) based on the days with complete data can we make assumptions enough to build a model for days with too many unknowns? c) would a random sample of data provide a better estimates? d) is there patterns for days of the week, time of month or year that would assist in figuring it out? the size of the document is aprox 900 rows first/last timestamp. Much longer if you want all the in-between timestamps This is not my field so I am open to whatever type of analysis you think is best suited to the dataset. But please be willing to explain your methods so I can understand. It might seem silly but this is quite personal to me.
Skills: Data mining Data Analytics Data Modeling Data Science
Fixed-Price - Intermediate ($$) - Est. Budget: $100 - Posted
You will be a team. Looking for large outputs - so please no individuals. -List of websites -You will find 3 items from each website: 1. Email Address (ex: tom.gunner@gmail.com) 2. First Name of person related to this email (ex: Tom) -IF NO EMAIL: You will provide URL of contact form. There will be 1000s of URLS for you to find emails from. You must be accurate, on time and able to work long term. Pay is $100 per 2000 Emails you find. You must be working at a rate of several thousand emails per week. Job must be completed manually, NOT using whois information. You will find information on website and only on website. Applicants: Please let me know your previous experience doing this job, your availability for long term work and your ability to produce output. Teams
  • Number of freelancers needed: 2
Skills: Data mining Data Entry Internet research
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