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Data Mining Jobs

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Hourly - Est. Time: Less than 1 month, 10-30 hrs/week - Posted
We're looking for business development researcher with proven experience to create a list of potential targets within a specific Australian business sector. This will include gathering information such as: - Major sites - Marketing contacts (name, email, phone and postal) - Research & Collate existing examples of brochures (PDFs), website, and other online and printed advertising material (maximum of 6 examples). You will need to be proficient in Excel, be resourceful, have previous experience in similar assignments and ideally have some knowledge of the Australian marketplace. Please submit 2-3 examples of previous work to be considered, ideally for a client in Australia, NewZealand, UK or US. A more detailed briefing will be provided on assignment.

Hourly - Est. Time: Less than 1 week, 10-30 hrs/week - Posted
Looking for an R programmer who has experience with CasualImpact or similar predictive modelling libraries. https://google.github.io/CausalImpact/CausalImpact.html We have a server running CasualImpact connected to a database, our goal is to replicate http://markedmondson.me/how-i-made-ga-effect-creating-an-online-statistics-dashboard-using-reais Your job will be to figure out what needs to be done and connect it to our database

Fixed-Price - Est. Budget: $ 500 Posted
I am looking for someone who has access to large lists of US business owner / employee databases. A person who is skilled in data extraction and scraping business emails only. I handle a number of 50mm+ B2B businesses looking for monthly lists for outbound email marketing. Please include a sample list for verification of quality.

Fixed-Price - Est. Budget: $ 100 Posted
There are a number of companies that operate 12-15' deep 195/200' long, 35' wide dry cargo barges throughout the United States. This job is to collect as many registers/charts as possible and import them into a table using the assigned structure/format. An example of the draft register can be found here (warning, PDF) https://www.ingrambarge.com/doc/Ingram_Draft_Registers%202.pdf Winning contractor will be provided with an SQL dumpfile showing the table's structure. The data should be formatted for easy insertion into this table, with the included MySQL insert statement to migrate your data into my table. The job entails: searching for barge draft register tables, performing data cleaning and/or data preprocessing to properly format the data for table entry. A document will be provided which describes the data require, preferred, and not important. This job should not take the contract more than a solid day of work in total. I have several other programming and data...

Fixed-Price - Est. Budget: $ 500 Posted
We are looking to build a database of information for restaurants in Hong Kong we expect between 50,000 and 60,000 records. We are looking to have the collect the following data. 1. Name 2. Phone Number 3. Address 4. Open hours 5. Average Price Range 6. Cuisine 7. Average User rating There could be a number of ways that you could gain this information from web searches, phone directories also OpenRice.com has a large number of records. We would like the data in a CSV format.

Hourly - Est. Time: 3 to 6 months, 30+ hrs/week - Posted
We are in need of someone to use search engines such as: Google Yahoo Yelp YellowPages (yp.com) Bing and other industry specific databases We need an email, phone, and address for industry related retail stores in a desired radius of our headquarters. (California / Arizona / Nevada) We need a database created in an email program MailChimp.

Hourly - Est. Time: More than 6 months, 10-30 hrs/week - Posted
I need someone who can search on the internet via Craigslist and other websites for homes and out them into a spreadsheet. Please only apply if this is something you are experienced in and do not have to take much direction to get the task done! Also must be experienced in lead generation in the Real Estate field.

Fixed-Price - Est. Budget: $ 280 Posted
We need someone to take 90 HUGE spreadsheets with approximately 60,000 to 100,000 rows on each spreadsheet (and up to 25 columns of data on each row), and sort and filter that data into approximately 40-45 different categories, as well as clean it up from unwanted data. In order to find the right data you will need to enter on average 5 to 10 keywords, (sometimes more and sometimes less), in the main column to find all the relevant data for that category of keywords. After you have filtered and combined the data from the 90 spreadsheets (90 days of data) into 40-45 much smaller spreadsheets, that are categorized for the relevant keywords, you will need to filter out approximately 50% of the data that is unwanted. You will need to do this for each of the 40-45 spreadsheets and then send them all back to us, (upload via dropbox), filtered, sorted and cleaned up. A couple of important things: 1. We want this done ASAP, so unless you are ready to start working on this straight...