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About

AI product leader at Google, Author, and community builder making complex AI concepts…

Articles by Shubham

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Experience & Education

  • Google

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Licenses & Certifications

Volunteer Experience

  • O'Reilly Media Graphic

    Technical Reviewer

    O'Reilly Media

    - Present 5 years

    Science and Technology

    Reviewed the following technical books and reports:

    > Practical MLOps: Operationalizing Machine Learning Models

    > Report: Enterprise AIOps

  • Open Data Science Conference (ODSC)  Graphic

    Community Volunteer

    Open Data Science Conference (ODSC)

    - 1 month

    Science and Technology

    Worked with ODSC team to organize one of the largest data science conferences in APAC.

    > I was responsible for speaker logistics and support. Moderated multiple live sessions by distinguished professors, industry experts, and global leaders in data science.

    > I also played a key role in creating a conducive community environment for the attendees to easily interact with the speakers and other attendees.

  • India Today  Graphic

    Freelance Journalist

    India Today

    - 1 year

    Education

    Here are some of my most popular pieces:

    > Explained: Why this is the right time for engineering students to study in India than in foreign university? (https://www.indiatoday.in/education-today/featurephilia/story/explained-why-this-is-the-right-time-for-engineering-students-to-study-in-india-than-in-foreign-university-1763484-2021-01-28)

  • Towards AI Graphic

    Technical Writer

    Towards AI

    - Present 6 years 7 months

    Science and Technology

    Write technical blogs based on reader-centered pedagogy in the area of Artificial Intelligence, Machine Learning, and Data Science.

    > Find my blogs at shubhamsaboo111.medium.com

  • Analytics Vidhya Graphic

    Technical Writer

    Analytics Vidhya

    - Present 6 years 6 months

    Education

    Write technical blogs based on reader-centered pedagogy in the area of Artificial Intelligence, Machine Learning, and Data Science.

    > Find my blogs at shubhamsaboo111.medium.com

Courses

  • AI at Scale

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  • Data Driven Design Thinking

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  • Data Visualization

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  • Data-X (In collaboration with University of California, Berkeley)

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  • Decision, Risk and Optimization

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  • Design Thinking

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  • Designing Our Lives

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  • Engineering Ethics

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  • Graph Theory and Social Network Analysis

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  • Indian Society and Culture

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  • Law, Society and Technology

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  • Machine Learning for Genomics

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  • Machine Learning for IoT

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  • Natural Language Processing

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  • Product Design and Management

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  • System Thinking

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  • The Role of Markets

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Projects

  • Financial Market Time Series Prediction with Recurrent Neural Network

    In this project I have used Long short term memory(LSTM) networks, a subclass of recurrent neural networks using keras with tensorflow (backend), to predict stock prices of Google. The network outperformed kalman filter, predicting more of high-frequency fluctuations in stock price.

  • Counterfeit Currency Detection Using Image Processing

    In this project, I have used the Bank Authentication Dataset from the UCI repository for training the neural network model. Using wavelet transformation of an image it is predicted whether or not a Bank Note is authentic.

  • Credit Risk Assesment Model

    In this project, I have used data from LendingClub.com. A machine learning model based on Support Vector Machine is created that will evaluate the potential risk posed by lending money to consumers and predict people with a high probability of paying back.

  • Multi-Class Semantic Text Classifier (NLP)

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    Created a multi-class text classifier by fine-tuning the Google's BERT(Bi-directional Encoder Representation from Transformer) to automatically categorize the the stack-overflow queries into respective technologies.

    BERT creates contextual pair wise sentence embedding to encode the input text provided in the form of natural language (i.e English) and uses transformer based network architecture that is pre-trained on Wikipedia and large corpus of books for semantically classifying text…

    Created a multi-class text classifier by fine-tuning the Google's BERT(Bi-directional Encoder Representation from Transformer) to automatically categorize the the stack-overflow queries into respective technologies.

    BERT creates contextual pair wise sentence embedding to encode the input text provided in the form of natural language (i.e English) and uses transformer based network architecture that is pre-trained on Wikipedia and large corpus of books for semantically classifying text into multiple categories.
    The data used is from stack-overflow which consist of user queries as text and respective technologies as labels. The size of data used is of 20,000 samples spread into 20 different categories (i.e technologies).

  • Human Pose Based Gait Recognition

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    Created a LSTM based network to recognize human gait patterns based on input key points extracted from the videos using the OpenPose library to create an efficient and robust surveillance system.

Honors & Awards

  • Microsoft Most Valuable Professional (MVP)

    Microsoft

    Issued in recognition of your exceptional leadership and outstanding contribution in the field of AI.

  • International Informatics Olympiad

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    Secured 341 World rank among 200k+ participants in International Informatics Olympiad, 2011

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