Girish H N

India

@girishhnbharadw1

Senior Data Engineer at Quantzig Analytics

Personal Information

girishhnbharadwaj@gmail.com
+91-8792790643
India

Badges

Problem Solving
Python
Days of Code
Sql

Certifications

Work Experience

  • Senior Software Engineer

    accenture•  June 2019 - Present

    * Document Classification – Identifying industry, hierarchy and technology based on the content in artifact. Key focus of this use case includes standardization and automation of manual tasks of entering fields for each newly created artifact. The expected impact is to be high in terms of time saved for resources by reducing the steps to push new content out and reduction of manual intervention * Building MS teams voice assistant to generate MoMs and Action items for a meeting. Key focus of this use case is to join every MS teams meeting ,record the audio, generate the transcript using Microsoft Cognitive Speech Services, extract Minutes of meetings and Action items. The expected impact is to be high in terms of human efforts and tracking the key tasks in a process

  • Software Engineer

    Tata Consultancy Services Ltd•  June 2014 - April 2019

    * Coding of attributes/modules to migrate the statistical model from SAS to Python * Wrote Python scripts to automate everyday tasks * Experienced with full software development life-cycle, architecting scalable platforms, object oriented programming and agile methodologies * Experienced in working with various web application development like flask and django * Automating the generation of reports using pandas, selenium * Implementation of Subtitles-Video sync using WCAG standards. The intent of this use case is to provide people who are blind or visually impaired access to the visual information in a synchronized media presentation * Email Classification of the received BPM_COE mails into categories and sub-categories using Word2Vec model. The intent of this use case is to automate the segregation of mails pointing to specific operation teams and to reduce human effort spent on segregation * Named entity recognition (NER) using conditional random field algorithm and deep learning from various documents for retrieving the relevant information to business. The intent of this use case is to screen the documents (like resumes, legal, financial and medical) and generate a report to the concerned teams

Education

  • Malnad College of Engineering, Hassan

    Instrumentation Technology, BE•  September 2010 - June 2014

Skills

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