majid shaik

majid shaik  new_releases

About

Detail

Machine Learning Engineer at NielsenIQ | AI Advisory Board at edX
Cincinnati, Ohio, United States
Contact majid regarding: 
work
Full-time jobs

Timeline

work
Job
school
Education
auto_stories
Publication

Résumé

Jobs verified_user 0% verified
  • edX
    AI Advisory Board
    edX
    Aug 2023 - Current (3 years 1 month)
  • The George Washington University
    Adjunct Professor
    The George Washington University
    Dec 2022 - Sep 2023 (10 months)
    Data Analytics Instructor covering topics including but not limited to Machine Learning, Deep Learning, Fundamental Statistics, Python, Databases (ETL, MongoDB, MySQL), Front End Web Visualization, Tableau, Big Data with Hadoop/Spark.
  • NielsenIQ
    Machine Learning Engineer
    NielsenIQ
    Apr 2021 - Current (5 years 5 months)
    Optimize data science models (NLP, Deep Learning) and deploy into production environment. Train data science associates on code optimization and documentation.
  • Procter Gamble
    Data Engineer
    Procter Gamble
    Apr 2017 - Apr 2021 (4 years 1 month)
    --Developing scalable model using Spark (RDD, Mllib, Ml, Dataframes) in Scala -- Used mathematical models using Scala libarary like breeze -- Deploying code on cluster -- Exporting code from R to Scala
  • Vertex Computer Systems
    Big Data Developer/ Data Engineer
    Vertex Computer Systems
    Apr 2017 - Apr 2021 (4 years 1 month)
  • D
    Data Analyst
    DMI Digital Management Inc
    Jan 2017 - Mar 2017 (3 months)
    Skills: Presentations · Predictive Analytics · Statistical Modeling · TensorFlow · Pandas (Software) · Git · PySpark
  • D
    Frontend Developer/ AngularJS Developer
    DMI Digital Management Inc
    Oct 2016 - Dec 2016 (3 months)
    -- Used wireframe and static web page as prototype to design and build website application -- Used HTML5, CSS3, Bootstrap to make application work on Desktop and Tablets -- Developed Web Application for connecting Business Object for SAP using Rest-API -- Used JavaScript libraries like AngularJS, Blob, FileSaver, jQuery, pdfmaker, tableExport, html2canvas to extract table as CSV, Excel, and PDF file. -- Used Maven project to integrate both backend and front end to create war file for deploying in Elastic Beanstalk AWS for development and testing phase -- Used Agile Methodology and SCRUM Process during application development -- Build and tested the application in AWS -- SSO login was used to login using SAML authentication -- Used Iframe
  • Wright State University
    Graduate Teaching Assistant ( Digital and Wireless Communication)
    Wright State University
    Aug 2014 - Dec 2015 (1 year 5 months)
    Skills: Presentations
  • Wright State University
    Grader(Random Processing)
    Wright State University
    May 2014 - Jul 2014 (3 months)
  • T
    Technical Assistant
    Technological Center Physical Disability Services
    Jan 2014 - Jul 2014 (7 months)
    • Developed audio books for physically disabled students, which assisted them in their course work
  • Wright State University
    Grader(Linear System)
    Wright State University
    Jan 2014 - Apr 2014 (4 months)
    • Assisted professor in grading 30 undergraduate students’ assignment and helped the undergraduates’ in excelling in their academics
Education verified_user 0% verified
  • Wright State University
    Master of Science (MS, Electrical and Electronics Engineering
    Wright State University
    Aug 2013 - Dec 2015 (2 years 5 months)
  • Osmania University
    Bachelor of Engineering (BEng, Electrical, Electronics and Communications Engineering
    Osmania University
    Aug 2009 - Apr 2013 (3 years 9 months)
Publications verified_user 0% verified
  • N
    True time delay beamspace wideband source localization
    Nathan Wilkins Arnab K Shaw Majid Shaik
    May 2016
    A novel method for signal subspace processing in the beamspace of a true time delay (TTD) beamformer bank is presented. The method permits the directions of arrival of broadband sources to be estimated accurately, efficiently and non-iteratively. This is achieved by exploiting the properties of the TTD beamformer bank, which simultaneously introduces spatial diversity into the data set while maintaining the broadband nature of the data. The beamspace manifold is derived and simulation results are presented. The method is shown to improve on the processing efficiency of previous broadband methods while maintaining source location estimation accuracy superior to conventional methods. It is also shown to resolve closely spaced and disparately
  • S
    Direction of Arrival Estimation using Wideband Spectral Subspace Projection
    Shaik Majid
    Jan 2016
    Many areas such as Wireless Communication, Oil Mining, Radars, Sonar, and Seismic Exploration require the direction of arrival estimation (DOA) of wideband sources. Most existing wideband DOA estimation algorithms decompose the wideband signals into several narrowband frequency bins, followed by either focusing or transforming to a reference frequency bin, before estimating the DOAs. The focusing based methods are iterative and their performance is affected by the choice of preliminary DOA estimates and the number of source DOAs to be estimated. The existing method requiring transformation to a reference frequency bin exhibits spurious peaks in the spatial spectrum and is not reliable in general. In this thesis, a novel Wideband Spectral Su