美国 华盛顿州 贝尔维尤
7762 位关注者 500+ 位好友

加入领英，查看档案

关于

Currently Product Manager for data science recommendations that inspire customers on…

动态

立即加入，查看全部动态

工作经历和教育背景

  • eBay

查看Vaibhav的完整工作经历

查看他们的职位头衔、任职时间等。

或

点击“继续加入或登录”，即表示您同意遵守领英的《用户协议》、《隐私政策》及《Cookie 政策》。

资格认证

志愿者经历

  • The Lighthouse Project India图片

    Mentor

    The Lighthouse Project India

    - 6 个月

    教育经历

    Volunteered to mentor students from under-resourced communities, guiding them through their high-school certification in addition to topics such as self-awareness, self-management, social awareness, relationship skills, critical thinking ability and responsible decision making.

  • Teacher

    Ekagrata

    - 5 个月

    教育经历

    Conducted technology learning sessions to teach basic electronics to underprivileged children from govt. run schools in Dharavi

出版作品

  • Abnormal Gait Detection by Classifying Inertial Sensor Data using Transfer Learning

    18th IEEE International Conference on Machine Learning Applications (ICMLA), 2019

    Gait analysis is a method used to assess the way we walk or run to highlight possible biomechanical abnormalities. In this paper, we aim at performing this analysis utilizing 4 wireless body adhering modules, each equipped with an accelerometer and gyroscope pair (MPU6050). The data transmitted from these modules are converted to images to facilitate further processing. The sensor data images are then used as an input for transfer learning to the Deep Convolutional Neural Network (CNN) model…

    Gait analysis is a method used to assess the way we walk or run to highlight possible biomechanical abnormalities. In this paper, we aim at performing this analysis utilizing 4 wireless body adhering modules, each equipped with an accelerometer and gyroscope pair (MPU6050). The data transmitted from these modules are converted to images to facilitate further processing. The sensor data images are then used as an input for transfer learning to the Deep Convolutional Neural Network (CNN) model, Inception v3, wherein the last two layers of the model are trained. Information that ?ows through the network shapes the structure of the model utilizing the labeled training dataset. The network can differentiate/classify 4 walking styles, namely: Normal walk, Hemiplegic gait, Diplegic gait, and Parkinsonian gait. By identifying which biomechanical trait a person has, one can further assess the neurological disorder that he/she may be suffering from cost-effectively compared to the traditional rigid methods currently available.

    其他作者

课程

  • Advanced Database Design, Management and Maintenance

    INFO 430

  • Big Data Analytics

    -

  • Cloud Computing

    -

  • Cryptography and System Security

    -

  • Data Analysis and Interpretation

    -

  • Data Science I: Theoretical Foundations

    IMT 573

  • Data Science II: Machine Learning and Econometrics

    IMT 574

  • Data Structures and Algorithms

    -

  • Digital Signal Processing

    -

  • Foundations of Information Management

    IMT 500

  • Management and Strategic Leadership

    IMT 580

  • Neural Networks and Fuzzy Logic

    -

  • Policy and Ethics in Information Management

    IMT 550

所做项目

  • Microsoft Bot Analytics

    -

    ? Developed conversational bots incorporating Natural Language Processing capabilities to facilitate course discovery and registration at the University of Washington, leveraging Microsoft Azure Bot Framework Python SDK
    ? Documented the pain points faced during the process of building & deploying the bot with the aim of improving the Azure platform

    Tools: Python, Microsoft Azure

  • Antenna Design using Parameter Optimization

    -

    ? Modeled antenna by optimizing parameters such as thickness, length, width and operating frequency by employing KNN regression algorithm on self-generated dataset

    Tools: R

  • BCG Gamma Case Analysis - Churn Prediction

    -

    ? Spearheaded 5-member team to predict churn for a BCG client using gradient boosted decision trees (XGBoost) ML model
    ? Evaluated performance for Linear/Logistic Regression, Gaussian Na?ve Bayes, Support Vector Machine, KNN classifier, Decision Tree classifier, XGBoost & Random Forest classifier and performed hyperparameter tuning using cross-validation and Grid Search

    Tools: Python, Tableau

  • Gait Analysis using Artificial Intelligence

    -

    ? Developed a low-cost prototype in collaboration with the Defense Research and Development Organization of India that diagnoses human neurological disorders by analyzing their walking style
    ? Implemented Transfer learning by deploying pre-trained Convolutional Neural Network onto image data and discerned neurological disorders of test subjects with 78% accuracy

    Tools: Python, R, Excel

  • NASA International SpaceApps Challenge, Seattle

    -

    ? Led a team of 4 to create an app which used a regression model trained on NASA’s satellite data on the backend, to predict the eutrophication and algal bloom of water bodies in real time

    Tools: Python

  • Twitter Sentiment Analysis

    -

    ? Analyzed 2000+ tweets containing the keyword ‘Bitcoin’ to classify them into emotion classes to discern public opinion

    Tools: R

荣誉奖项

  • Larsen Fellowship for Innovation in Information Management and Data Science

    University of Washington

  • 1st Prize, eBay Innovation Week

    eBay Inc.

  • GEP Kudos Award - 'The Catalyst', 'The Change Agent'

    -

    Exemplary contribution towards implementation of cloud based e-Procurement tool at a leading Fortune 500 company

  • State Level Project Competition on AI - 'Prakalpa'

    Indian Society for Technical Education

    Stood 1st at Prakalpa '17, a state level project exhibition competition conducted by the Indian Society for Technical Education based on the theme "Artificial Intelligence: Innovation Towards Future" for project titled Gait Analysis using Artificial Intelligence

语言能力

  • English

    母语或精通双语

  • Hindi

    母语或精通双语

  • Kannada

    母语或精通双语

  • Italian

    中级 (日常会话)

  • German

    初级 (入门)

  • French

    中级 (日常会话)

收到的推荐信

2 位会员推荐了Vaibhav

加入领英，即可查看

Vaibhav的更多动态

查看Vaibhav的完整档案

  • 浏览共同好友
  • 请求引荐
  • 直接联系Vaibhav
加入领英，查看完整档案

其他相似会员

美国中其他姓名为Vaibhav Rao的会员

领英上有美国的其他 6 位姓名为Vaibhav Rao的会员

查看其他姓名为Vaibhav Rao的会员

学习在线课程，新技能轻松 get！

查看全部课程