TEXT MINING on Scanned Documents - Images - Aviation

Cincinnati, OH 41073

Job Category: Information Technology Job Number: 124379

Job Title             Text Mining On Scanned Documents & Images - Aviation

Location             Cincinnati, Ohio  -  41073

Duration             6 months+

About Our Client: Client is a global professional services firm that makes business transformation real. We drive digital-led innovation and digitally-enabled intelligent operations for our clients, guided by our experience running thousands of processes primarily for Global Fortune 500 companies. we have expanded from 19,000+ employees and annual revenues of US$491.90 million to 80,000+ employees and annual revenues of US$3.00 billion as of December 31, 2018.

Job Description:

  • various types of input data sources such as images, pdfs, scanned (scanned documents and images which do not contain any text which can just be ‘selected’ with a cursor) images and pdfs, plain text, web pages, emails, various types MS office files
  • Extract texts and create structured database from documents which are spanning across multiple images and pages of the document and block of texts exist in the nested in the tabular data
  • Conduct Pre-processing and cleansing operations to detect and remove anomalies from data using various statistical techniques
  • Create Structured database from Unstructured texts and documents
  • Analyze the various data to extract valuable inputs for the business operations and drive trend analysis and enhance the decision-making process of the organization
  • Convert the PDF into images
  • Use OCR to extract text from scanned images, pdfs
  • Create and industrialize algorithms jobs to run automatically on an enterprise level application to produce the database on daily basis
  • Create process and procedures for audit of the information being extract from the database
  • Use various text mining techniques for Text Summarization to Retrieve, Extract, Summarize, Categorize and Clustering
  • Use the text mining outputs and connect them with various related data sources to create various types of charts for Business Intelligence and Analytics report outs
  • Showcase the results and outputs using SQL and Spotfire as the front-end tools

Required Skills/Competencies:

  • Candidate must have high competency in
  • 5 to 6 years of Experience in Text Mining, NLP & Business Analytics
  • Prior experience working with Text Mining tools.                                                                               
  • Excellendata Analysis skills & Independent client handling & execution ability
  • Prior experience working with Python, R and other techniques (NLP, NLG)
  • Prior knowledge of handling Spotfire Application is an added advantage
  • Simplification, Project management & Functional support
  • Excellent in analytical, problem solving techniques and communication skills. 
  • Expert in large Data analysis and presentation, root cause identification analysis
  • Ability to establish and maintain excellent customer relationships
  • Previous Customer experience in the Logistics industry is a plus
  • High level expertise in Microsoft Office, Word, Excel, PowerPoint, Access
  • Required Licenses, Certifications, and Other Requirements
  • Good to have some experience on open source OCRs packages and enterprise tools
  • Good knowledge in NLP could API and open source libraries
  • External and Internal Interactions/Management/Reporting Relationships
  • Reporting to Senior Leadership on daily and weekly basis
  • Working with offshore teams and business partners for working meetings and customer interactions

About ASK: ASK Staffing is an award-winning technology and professional services recruiting firm servicing Fortune 500 organizations nationally. With 5 nationwide offices, two global delivery centers, and employees in 42 states-ASK Staffing connects people with amazing opportunities

Contact :

Yamini:      yaminis@askstaffing.com     -    678-203-2377

                   techmhyd@askstaffing.com

Yamini Seelam
Sr Client Service Manager

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