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.

Outsource Data Cleaning & Data Preparation

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. So while we clean and prepare data , your top data scientist can focus more on developing algorithms which actually add to high IP value. This will make your top notched data scientists more efficient in their deliverables.

Latest Data Cleaning & Preparation Tool

Several tools, such as Google Data Studio, Alteryx, Tableau, Qlik will be used by our team. The 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.

Innovative Synthetic Data Augmentation

For most of the AIML projects, training data will be scarcely available. It will not be adequate enough for the POC or meeting objectives. Our team is highly experienced in generating Synthetic data using state of the art tools like Unity 3D gaming engine, Gazebo etc. to augment existing training data.

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 team who are expert in all kinds of data cleaning/data preparation. 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.

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Data Cleaning And Data Prep Tools Used By Our Team

The 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

Application

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HealthTechAI

Healthcare is the highest level of consumer for AI driven projects. Areas include and not limited to

  • Gene Therapy
  • Drug combination
  • Personalized medicine
  • New diagnostic techniques
  • Image processing
  • Active medical devices

Data Scientists in this area also face the highest level of unclean noisy data and therefore, it is always useful to outsource the data cleaning operation to utilize expensive data scientists in a better way.

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

BiologyAI

New innovations in biology are exploding based on AI. Some of the new areas include

  • Pest resistant seed creation based on DNA sequencing/Gene editing/ AI driven breeding
  • Creation of new seeds with customized levels of protein, starch, fat etc.
  • Understanding Enzyme driven biological processes using a large variety of sensor driven data.

DatacleaningforAIML partners maintain a lot of useful Biology data that can be useful to innovation in this area.

ManufacturingAI

With the advent of Industry 4.0, entire manufacturing is converging to a data-driven operation starting from supply-chain to predictive maintenance.

Challenges faced by the data scientists in this area depend on the size of the manufacturer. For most part, data is available in different formats from different silos and thus to bring the data to a legible format for analysis consumes most of the projects. This is exactly where datacleaningforAIML can bring the highest value to your team.

Clinicians from Johns Hopkins, Bailer Scott express initial interest in the  Retrieval Augmented (RAG) Clinical Decision Support System by skoondata. The launch of guideline based DDx, together with the power of GPT, can revolutionize physician productivity, reduce burn-out and improve adherence, and reduce billing and coding errors, in days to come. [request for a demo]

Skoon Data Team

Dr Biplab Pal
Founder Skoon Data
Department of Information System &
Center for Real Time Distributed Autonomous Systems ( CARDS) ,
University of Maryland at Baltimore County

Debraj Ganguly

Healthcare Industry Leader,
with years of transformation experience in strategic roles at UST,
Cognizant, TechM, Apollo and other Organizations

Contact Us

4500 Stonecrest Dr, Ellicott City, MD 21043, USA
Ph : +1 7143090509
info@skoondata.com
investors@skoondata.com