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Viji Vennelakanti

Viji Vennelakanti

Bengaluru, Karnataka, India
Member since June 28, 2018
Viji is a certified deep learning and machine learning specialist and a Deep Learning Mentor at Coursera. She was the Director of IT in Chicago and worked there for 15 years leading a team of over 100 with a budget of $18 million. Viji led the Agile transformation of the organization.
Viji is now available for hire
Project Highlights
  • Agile Project Management
  • Agile Transformation
  • DSDM
  • Deep Learning
  • IT
  • Machine Learning
  • Scrum
  • Technical Leadership
  • Deep Learning Mentor
    2018 - PRESENT
    • Fostered discussions and curated community spaces to improve the understanding of the course for thousands of learners.
    • Moderated the forum for Andrew Ng's Deep Learning course.
    • Resolved specific issues that learners have with regards to assignments.
    • Answered queries regarding the course content.
    • Added to the FAQ and identified errata regarding the course.
  • Deep Learning Solutions Consultant
    2015 - PRESENT
    • Identified how computer vision could serve to reduce cost and improve cycle time.
    • Implemented classification and object detection using deep learning for computer vision.
    • Utilized Keras, Tensorflow, Python, YOLO, Google Cloud Platform (GCP), Floydhub, and Jupyter notebook.
    • Performed data cleansing, matching up images with tags for training during supervised learning.
    • Achieved an accuracy of 85% on never before seen test data.
  • Director / Division Manager, Information Technology
    2007 - 2013
    Rotary International
    • Directly reported to the CIO and led a 100-person strong global IT & PM organization to achieve strategic and operational goals.
    • Worked with the CIO to develop a strategic plan for IT which aligned with the organizational strategic plan.
    • Led the agile transformation of the organization which resulted in the implementation of some of the largest Enterprise projects ever, by scope and number with a clear focus on business process re-engineering, global organizational change management, measurable critical success factors, and benefits realization.
    • Headed the Project Management Office – Managed a large team of Project Managers; facilitated Project portfolio Steering Committee meetings including Portfolio planning; established a data based project portfolio dashboard; promoted the concept of product ownership; responsible for the creation of and management of project portfolio budget.
    • Led the establishment of an offshore captive development office in India.
  • Several roles - Enterprise Applications Division Manager, PeopleSoft Systems Division Manager, PeopleSoft Systems Engineer
    1999 - 2006
    Rotary International
    • Oversaw an organization restructuring.
    • Headed several large enterprise projects which were transformational in nature.
    • Implemented, supported, customized, and performed upgrades on all the major PeopleSoft financials applications.
Project History
  • Object Detection Using Computer Vision for Medical Images
    Successfully completed a proof of concept to democratize healthcare using computer vision.

    My client wanted a proof of concept to understand if computer vision using deep learning could identify medical problems from images. I used convolutional neural networks (deep learning) to deliver a successful proof of concept for object detection on medical images with a small sample training dataset of 2,500 annotated images. Tools used included Google Cloud Platform (GCP), Python, YOLO, and Jupyter notebook. Set up Ubuntu VM on GCP to use GPU, loaded necessary software, and trained the model using cleansed data. Analyzed results using object detection metrics. Ran another iteration with a larger training dataset and compared results to show improvement. The client is pleased with the improvements shown and plans to obtain funding to scale the model to accommodate a larger training dataset. A comprehensive report including an executive summary; approach; data cleansing procedure; GCP setup; training and testing procedure; object detection metrics and recommendations were submitted at the end of the PoC.

  • Computer Vision for Water Meter Images
    Used computer vision and deep learning to 'read' water meter images and determine the reading with an accuracy of 85%.

    Planned and executed a project using computer vision and deep learning.

    Read in over 36,000 images, converted them into tensors, matched them against readings from a CSV file and cleansed the data. Ensured that the images were of the correct datatype and size. Shuffled image and reading data. Split into train, cross-validation (CV), and test loaded the InceptionV3 model and used its weights on train, CV and test data for transfer learning. Created separate hdf5 files with features, labels and batches datasets for train, CV, and test batches. Trained on a shallow CNN model and transformed the output into the right dimensions for comparison. Plotted the loss and per digit accuracy. Calculated the accuracy for train, CV, and test data.

    Iterated the above process with multiple hyper-parameters, sizes of network and also InceptionResNetV2 to improve the accuracy.

    Utilized Floydhub Cloud Platform, Keras on Tensorflow, Python 3.x, Jupyter notebook, and Excel to work through this project. Utilized an Agile Methodology to keep the project on track and provide visibility.

  • Worldwide Loyalty Management Solution
    Let the implementation of a loyalty management solution in seven countries to reduce the cycle time from months to five days.

    This project was implemented in seven countries simultaneously to strip-out a decades-old mostly manual business process that had unpredictable cycle times and poor customer service to a simpler, consistent mostly automated business process that cut the cycle time to five business days.

  • Master's degree in Business Administration, Finance
    1993 - 1995
    University of Bombay - Mumbai, India
  • Bachelor's degree in Engineering
    1988 - 1992
    University of Bombay - Mumbai, India
  • Deep Learning Specialization - 5 courses
  • Coursera Mentor Community and Training Course
  • Machine Learning AtoZ
    JULY 2017 - PRESENT
  • Machine Learning
    APRIL 2017 - PRESENT
    Coursera, Stanford University
  • R Programming
    Coursera, Johns Hopkins University
  • Getting and Cleaning Data
    Coursera, Johns Hopkins University
  • The Data Scientist’s Toolbox
    Coursera, Johns Hopkins University
  • Organization Change Management
    MAY 2012 - PRESENT
    Prosci, Chicago
  • DSDM Foundations Certificate - Agile Project Management & Development Methodology
    APRIL 2011 - PRESENT
    DSDM Consortium, UK
  • Business Process Reengineering
    Northwestern University, Chicago
  • Art of Leadership
    MAY 2006 - PRESENT
    Northwestern University, Chicago
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