Harish Venkataraman

Data Scientist at AppZen
  • Claim this Profile
Contact Information
us****@****om
(386) 825-5501
Location
San Jose, California, United States, US

Topline Score

Topline score feature will be out soon.

Bio

Generated by
Topline AI

You need to have a working account to view this content.
Join now
You need to have a working account to view this content.
Join now

Credentials

  • Importing Data in Python
    DataCamp
    Oct, 2016
    - Nov, 2024
  • Interactive Data Visualization with Bokeh
    DataCamp
    Oct, 2016
    - Nov, 2024
  • Intermediate Python for Data Science
    DataCamp
    Oct, 2016
    - Nov, 2024
  • Intro to Python for Data Science
    DataCamp
    Oct, 2016
    - Nov, 2024
  • Python Data Science Toolbox
    DataCamp
    Oct, 2016
    - Nov, 2024
  • Statistical Thinking in Python
    DataCamp
    Oct, 2016
    - Nov, 2024
  • Intro to R
    DataCamp
    Sep, 2016
    - Nov, 2024
  • Intro to Statistics with R
    DataCamp
    Sep, 2016
    - Nov, 2024
  • Statistics and Modelling
    Internshala
    Jan, 2016
    - Nov, 2024

Experience

  • AppZen
    • United States
    • Software Development
    • 200 - 300 Employee
    • Data Scientist
      • Jun 2021 - Present

      - Currently developing and improving the prediction platform and ML infrastructure that powers AppZen's products - Built an AI framework for General Ledger code prediction that improved the autonomous accounting rate for invoices - Currently developing and improving the prediction platform and ML infrastructure that powers AppZen's products - Built an AI framework for General Ledger code prediction that improved the autonomous accounting rate for invoices

  • University of Illinois Chicago
    • United States
    • Higher Education
    • 700 & Above Employee
    • Graduate Research Assistant
      • Aug 2020 - Jun 2021

      - Performed image analysis on microscopic medical videos of blood vessels to aid doctors in diagnosing heart problems - Designed a framework based on cross-correlation analysis of time series data to detect clumpiness and velocity of blood flow - Performed histogram equalization, median blurring and template matching to stabilize and improve quality of the videos as part of the preprocessing pipeline - Performed image analysis on microscopic medical videos of blood vessels to aid doctors in diagnosing heart problems - Designed a framework based on cross-correlation analysis of time series data to detect clumpiness and velocity of blood flow - Performed histogram equalization, median blurring and template matching to stabilize and improve quality of the videos as part of the preprocessing pipeline

  • Mimyk
    • India
    • Medical Equipment Manufacturing
    • 1 - 100 Employee
    • Computer Vision Intern
      • Feb 2019 - Jul 2019

      - Provided real-time directional cues in endoscopic videos using Lucas-Kanade optical flow and Otsu's thresholding to enable doctors to navigate better during endoscopies and colonoscopies - Trained a Generative Adversarial Network (Pix2Pix) using synthetic endoscopic images for the purpose of depth estimation in real-life endoscopies - Designed a surgical exercise for electro-cautery in the endoscopy simulator using Unity3D and shader programming - Provided real-time directional cues in endoscopic videos using Lucas-Kanade optical flow and Otsu's thresholding to enable doctors to navigate better during endoscopies and colonoscopies - Trained a Generative Adversarial Network (Pix2Pix) using synthetic endoscopic images for the purpose of depth estimation in real-life endoscopies - Designed a surgical exercise for electro-cautery in the endoscopy simulator using Unity3D and shader programming

  • gnani.ai
    • India
    • Software Development
    • 1 - 100 Employee
    • NLP Engineer
      • May 2018 - Jan 2019

      - Explored the open source chatbot framework, RASA, to build voice assistants for a banking sector customer and a technology manufacturer. RASA uses an SVM for intent classification and a recurrent neural network for conversation flow. - Explored the open source chatbot framework, RASA, to build voice assistants for a banking sector customer and a technology manufacturer. RASA uses an SVM for intent classification and a recurrent neural network for conversation flow.

  • Mu Sigma Inc.
    • United States
    • Business Consulting and Services
    • 700 & Above Employee
    • Trainee Decision Scientist
      • Sep 2017 - May 2018

      - Built a business intelligence app on iOS for a major corporation to aid C-level executives make decisions ”on-the-go” - Used Swift, Charts - a data visualization library in Swift, and RealmDB - a mobile database, for the development of the application - Built a business intelligence app on iOS for a major corporation to aid C-level executives make decisions ”on-the-go” - Used Swift, Charts - a data visualization library in Swift, and RealmDB - a mobile database, for the development of the application

Education

  • University of Illinois Chicago
    Master of Science - MS, Computer Science
    2019 - 2021
  • Visvesvaraya Technological University
    Bachelor of Engineering, Information Science/Studies
    2013 - 2017

Community

You need to have a working account to view this content. Click here to join now