To identify, classify and extract Personal Information, Education Details, Employment History and other skills from Resume
Botminds IDP to read and extract data from a resume for better grasp a candidate's actual skills with rapid response time.Botminds Unified Platform converts an unstructured form of resume data into a structured format in an intelligent way.It helps recruiters to electronically gather,store and organize the information contained in resumes.
University of Pittsburgh
B.A, Computer Science
Designed and implemented a real-time data pipeline to process semi-structured data by integrating 150 mmillion raw records from 30+ data sources using Kafka and PySpark and stored processed data in Redshift Led the migration from Oracle to Redshift using Amazon Athena and $3 resulting in an annual cost savings of $678,000 and an increase in performance of 14% Designed the data pipeline architecture for a new product that quickly scaled from 0 to 115,000 daily active users
Python, ETLs, SQL (Postgres, Redshift, MySQL), NoSQL (MongoDB), Spark, Kafka, Airflow, AWS
Different document formats and layouts
100+ data points to be extracted
Manually classifying the documents and processing it
One-stop AI solution for all your data extraction
Automate tedious Manual tasks
Improved quality of hire
Easy to understand,analyze and consume by pre-trained AI model
Identify key terms in the credit agreement like the issuer name, Transaction Date, Covenant Suspension/ Termination, Securities offered, Change of Control, Limitations, Leins etc.,
Extract Environmental, Social, Governance (ESG), data from ESG Reports, Sustainability Reports, CSRs, and Annual Reports.
To identify, classify and extract Applicant details, Class details, Claim details, and Invention details
Learn how Botminds Intelligent Document Process can drive ROI, reduce costs, and save time for your business.