Data Mining Jobs

265 were found based on your criteria {{|number:0 }} were found based on your criteria

show all
  • Hourly ({{ jobTypeController.getFacetCount("0")|number:0}})
  • Fixed Price ({{ jobTypeController.getFacetCount("1")|number:0}})
Hourly - Expert ($$$) - Est. Time: Less than 1 week, Less than 10 hrs/week - Posted
After You are hired,first you will need to fill out Job application this may take 30-60 min -Dont worry about time s per UPWORK TERMS you will get paid for 1 hour or two hrs I will pay now ask as many Q as u want now read twice,are you ready : Export to CSV or EXCEL all my emails, contacts,every thing from 2 aol accounts 2 gmail and 2 outlook accounts total 6 accounts and clean junk mail & garbage also duplicate telephone # for home or cell or office in different columns -even some emails have smpt added i have 100 of folders, sent folders its a full time project for an expert its better to look each col & row and delete and save in a seperate folders DO NOT USE SOFTWARE unless you are 100% confident - I tried but deletes even a good emails and contacts - I have no idea how many emails and contacts are in all 6 accounts - Quote fix price for your service must be done by Saturday 6 pm August 6 2016 EST time my budget is $ 100 but I am open you may bid less or more- good luck - I don't have skype only upwork message
Skills: Data mining Email Handling Microsoft Excel Microsoft Word
Hourly - Entry Level ($) - Est. Time: Less than 1 week, 10-30 hrs/week - Posted
We need to extract data from scanned pdfs. These can be ocred and then data put in excel. Need to capture data from couple of pages from each pdfs and give it in excel. Accuracy is very important here and it is your job to make sure that the data being delivered is without any errors. I am attaching a sample pdf where data in tabular format from pages 24 to 27 need to be scanned and captured in excel.
Skills: Data mining Data Entry Microsoft Excel
Hourly - Entry Level ($) - Est. Time: Less than 1 month, 10-30 hrs/week - Posted
Hi! I'm a professional singer/songwriter from San Francisco. I'm looking for someone who can help me reach out to venues and get bookings. I have the system in place, just need someone to put in the time to reach out to people. I want to start for a month, and then see how good it goes - could be an ongoing job! Applicant needs to be able to hunt for email addresses on websites of the venues I'm performing, and email the right person quickly. Also, applicant needs to be LGBT friendly. I have the basic form email that needs to be personalized for each email, and have been doing this for two years so have a good idea of the kind of quota I'm expecting per person. It's relatively easy work but requires a quick mind and an ability to find contact info on websites pretty quickly.
Skills: Data mining Data Entry Email Handling Email Marketing
Hourly - Intermediate ($$) - Est. Time: 3 to 6 months, 10-30 hrs/week - Posted
We are looking for someone who can help us do the following: * Take data in an Excel spread sheet and convert to a dbf file and confirm that the data was successfully converted and the data is in the correct fields. * Take data that is in a dbf file, remove unwanted data, rename headings\fields to match database and upload into the database. * Test and confirm the data was successfully uploaded into the database and that the data is located in the correct field. This would include the ability to create queries and debug the database and\or locate data upload errors. * The datasets for the Excel files are small (less than 1 MB) but the dbf files are much larger and can be between 100 MB to 1 GB or larger. Server: Virtual cloud based with 1and1 Operation System: Linux Database: MySQL Primary data source: .dbf files Secondary data source: Excel spreadsheet Contract Pricing: Contract can be fixed price by the job (file\data uploaded) or hourly with cost not to exceed. Open only to Individual freelancers that are based in the USA
Skills: Data mining Data scraping
Hourly - Intermediate ($$) - Est. Time: Less than 1 week, 10-30 hrs/week - Posted
Build a Data extractor that can scrape endurance event names, locations, images, contact details and website addresses from 3 agglomeration sites across multiple pages and pull them into an excel sheet. Extractor must be able to handle click through listing pages and click onto pages as not all the data is stored on the same page within each website.
Skills: Data mining Web scraping
Hourly - Expert ($$$) - Est. Time: 3 to 6 months, 30+ hrs/week - Posted
I am looking for a freelance or company who has worked on sentiment analysis. we use python as primary programming. If you have worked into this kind of project please apply with reference we will like to see your sample work. Which should answer following question ? what problem you where solving ? What technology prefer to see code base in Jupiter notebook. what kind of modeling technique you have used for data mining and machine learning what kind of deployment have you done ? web or mobile ? Please apply with reference work. This is URGENT Requirement The below is our company website. www.
Skills: Data mining Data Science Deep Learning Deep Neural Networks
Hourly - Intermediate ($$) - Est. Time: Less than 1 week, Less than 10 hrs/week - Posted
I need someone to research websites to find out where NFL fans are meeting to watch their favorite teams. I'm building a database of these team bars for our site I've already done some research on all 32 NFL teams but I know there's some more info out there that I haven't discovered. Below is the list of sites I've found so far. We want to find as many as possible and add them to this list. These groups of fans that meet up are often called "backers", "boosters", etc. As you'll see, lists of these meet ups can be found on the official team websites, blogs,, etc. Once we have a list of all the sites with team bars listed; I want to enter the data found on these sites of each individual bar/group into an excel database for bulk upload to I will provide a sample export .CVS file from our website for format. Some of the listings have very limited data. Just provide as much information as possible. I'm looking for this information on all 32 NFL teams. If we like the work on this job there is potential for much more work in the future. Our goal is to do this same database for all sports, both pro and college. I'm looking for freelancers who are fluent in English. These are the sites I've founds so far that list fan meet up locations for use to mine and enter into our data base. AFC North Steelers - Browns - Bengals - Ravens - AFC East Bills - Dolphins - Patriots - Jets - AFC South Texans - Colts - Titans - None found Jaguars - None Found AFC West Chiefs - Raiders - and Chargers - Broncos - None Found NFC North Packers - Lions - Vikings - and Bears - NFC ​East Cowboys - Giants - Eagles - Redskins - NFC ​South​ Falcons - Saints - None Found Panthers - None Found Buccaneers - None Found NFC ​West​​ 49ers - Seahawks - Rams - Cardinals - None Found
Skills: Data mining Data Entry Data scraping Internet research
Hourly - Entry Level ($) - Est. Time: 1 to 3 months, 10-30 hrs/week - Posted
We are looking for an experienced Data guru and web scraper to scrape/mine and take data from two different databases and combine them into one clean data set in an accessible database format. Site 1 is a Real Estate MLS website Site 2 is a Consumer Database with addresses and Phone numbers Program should be reusable and configurable to perform on the fly data mining and scraping. The Program should be able to filter data and export in excel/csv/text formats.
Skills: Data mining Database design database management database programming
Hourly - Intermediate ($$) - Est. Time: 1 to 3 months, 30+ hrs/week - Posted
I work in real estate. Keeping up on what apartment buildings are renting for is part of my job. I would like someone to develop something that uses's RSS service to dump the information into a database that is constantly updated. The information will be used to track rents for individual properties as well as specific zip codes, neighborhoods and markets. I'd like the ability to capture, the address, the type of unit (Studio, 1 bed/1 bath, 2 bed/ 1 bath, etc.) the square footage, rent amount and any other data the can be captured by an automated system. I'd like the ability to export the data into excel and manipulate it to generate reports and information to show my perspective and core clients. Other features that would be good (depending on time and cost of development): • Photos from the ads • The body of the ad with further information (including contact information if it's present. I know you have to click on numbers, so I don't know if it's possible to capture the phone number in the ad.) • Having the property address (if listed) reference an address and add in the other data that corresponds to the address (City, Zip Code, possibly the neighborhood, etc.) • Adding a column with a formula that calculates the rent/square foot. • The ability to select a number of rent comps and to generate reports with company branding. • Possibly display rent comparable on a map for my clients with their address. I have my own domain from which the data can be dumped into, or it can be something that can be used on a local machine. I'm not sure how the best way to do this is, but I'd like to do it as I spend way too much time researching rental information when I know there is a better way to accumulate the data. If successful, then there will be the opportunity to create a similar system for other apartment rental sites (if possible.) Also, I’d like the same thing done in the future with properties that have sold, but getting rental information is the priority as of right now.
Skills: Data mining database programming RSS
Hourly - Entry Level ($) - Est. Time: Less than 1 month, 10-30 hrs/week - Posted
Looking for someone to scrape names and emails of all types of DJs, for example: performance Djs and Wedding DJs, in San Diego, Los Angeles, Austin, Seattle, and Nashville. Once the data is found, it needs to be entered into Google Sheets.
Skills: Data mining Data scraping Google Spreadsheets Microsoft Excel