Clean (Skoon) Data for AIML modeling at fraction of cost

Save Up to 70% in any Data Science project while the High End team can focus on Algorithm Development.

CleanTechAI

  • AI for Cleanteach is one of the focussed areas for us as this is the fastest emerging area in data science.
  • Climate risk, massive deployment of Microgrids and EV and sustainable green innovation is at the heart of all technology companies in the 21st Century.
  • Many insurance companies are now investigating climate risk in their business since Fire, Flood and Storm led to billions of dollars of damage in the recent past and this will only accelerate in near future.
  • If any data science team is engaged in this area of CleanTeach, datacleaningforAIML has access to valuable data via its partners which may be required by data science team working in this area
WHY US?

We Bring Together Expertise & Efficiency

Data preparation/cleaning is almost 90-95% of any data science job. Several tools, such as Google Data Studio, Alteryx, Tableau, Qlik are being used in addition to dozens of popular libraries in Python and R for data cleaning and preparation which consumes the majority of bandwidth of a data science team. Although cleaning & preparation constitutes 90-95% of the project effort, it is squarely a horizontal operation that does not add to any intellectual property generation. It can be done by anyone experienced in the field.

Datacleaning for AIML offers hundreds of highly experienced part-time and full time freelancers/team who are expert in all kinds of data cleaning/data preparation. Freelancers/contract employees are available at hourly/monthly rate as well as against a “fixed price” project. DatacleaningforAIML has permanent employees as well as consultants on payroll to meet the exact demand in the quickest possible time.

creptaam Parallax

Data Cleaning And Data Prep Tools Used By Our Team

The Freelancer/Project team will use the appropriate tools based on volume, location and nature of the client data and deliver the cleaned/formatted data with visualization or ingested in a database-whatever way a client will demand. They can also run initial POC with client suggested tools/machines to do initial QC of the data and feasibility of algorithmic solution.

Data Cleaning and Data Prep Tools used by our team 

  Python Libraries for cleaning

 CRAN-NR libs for cleaning 

  QLIK cleaning 

  Alteryx   

  Google Cloud Data Cleaning tool like Trifecta  

  AWS GlueDataBrew for DataCleaning 

  Data cleaning in Azure ML studio

creptaam Parallax

Contact Us

DatacleaningforAIML
Hosted by EBIW LLC

9091 Snowden River Pkwy #1046
Columbia, MD 21046
info@datacleaningforAIML.com
5201, Great America Pkwy , Suite, #320 , Santa Clara, CA 95054 , USA
1-650-242-8799
info@datacleaningforAIML.com