Shreeya Joshi

Shreeya Joshi

San Jose, California, United States
2K followers 500+ connections

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About

Software Engineer at Meta working on business experiences

Activity

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Experience

  • Meta Graphic

    Meta

    Menlo Park, California, United States

  • -

    San Francisco Bay Area

  • -

    Irvine, California, United States

  • -

    San Jose, CA

  • -

    Pune Area, India

Education

  • UC Irvine Graphic

    UC Irvine

    -

    Coursework: Data Structures, Algorithms, Operating Systems, Computer Networks, Machine Learning, Artificial intelligence, Neural Networks, Computer Systems Architecture, Internet Of Things

  • -

    Activities and Societies: Computer Society of India Association of Computer Engineers

    Coursework: Design and Analysis of Algorithms, Data Structure and Problem solving, Object-oriented and multicore programming, Fundamentals of programming languages, discrete structures, Operating system design, Microprocessor architecture, Theory of computation, Data Communication and
    Wireless Sensor Networks, Database Management, Data Mining, Computer Networks, Software Engineering, Principles of Modern Compiler Design

Volunteer Experience

  • Web Developer

    Advait Councelling Centre

    - 7 months

    Science and Technology

    Allows patients to schedule and manage appointments online by using Google forms which increased inquiries by 70 percent.
    Provided location tracking of the clinic with the help of Open Maps API.

  • Senior Lady Representative

    Computer Society of India, Pune Chapter

    - 1 year 1 month

    Education

    Handled various departments while planning and organizing technical workshops on campus.

  • Sponsorship Coordinator

    Sinhgad Karandak

    - 3 months

    Arts and Culture

  • National Service Scheme Graphic

    Organiser

    National Service Scheme

    Health

    Organised Blood Donation Camp on campus.

Publications

  • A Comparative Analysis and Discussion of Email Spam Classification Methods using Machine Learning Techniques

    CRC Press

    Book Chapter focussing on supervised and unsupervised Machine Learning Algorithms for Spam Classification.

    Other authors
    See publication

  • A Proposed Data Science Approach for Email Spam Classification using Machine Learning Techniques

    IEEE

    This paper proposes a system architecture attempts to use machine learning techniques such as recurrent neural networks, SVM and decision tree to detect a pattern of repetitive keywords which are classified as spam. The system also proposes the classification of emails based on other various parameters contained in their structure such as Cc/Bcc, domain and header. Each parameter would be considered as a feature when applying it to the machine learning algorithm. The machine learning model will…

    This paper proposes a system architecture attempts to use machine learning techniques such as recurrent neural networks, SVM and decision tree to detect a pattern of repetitive keywords which are classified as spam. The system also proposes the classification of emails based on other various parameters contained in their structure such as Cc/Bcc, domain and header. Each parameter would be considered as a feature when applying it to the machine learning algorithm. The machine learning model will be a pre-trained model with a feedback mechanism to distinguish between a proper output and an ambiguous output.

    Other authors
    See publication

Courses

  • Algorithms

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  • Artificial Intelligence

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  • Cloud Computing

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  • Computer Networks

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  • Computer System Architecture

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  • Data Communication and Wireless Sensor Networks

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  • Data Mining

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  • Data Structures

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  • Data Structures and Problem Solving

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  • Database Management Systems

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  • Design and Analysis of Algorithms

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  • Discrete Structures

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  • Distributed Systems

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  • Fundamentals of Programming Languages

    -

  • Internet Of Things

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  • Machine Learning

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  • Microprocessor Architecture

    -

  • Neural Networks

    -

  • Object Oriented and Multicore programming

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  • Object Oriented Programming

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  • Operating Systems

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  • Operating Systems Design

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  • Principles of Modern Compiler Design

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  • Software Engineering

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  • Theory Of Computation

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Projects

  • InfluenceIt - Recommeder system to find suitable social media influencer

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    Used natural language processing to find matching influencer on Twitter based on keywords in the advertisement posted on the web app.
    Designed non relational database to store results on cloud.
    Technologies - ReactJs, ExpressJs, NodeJs, Python, Twitter API, MongoDB

  • Dependency Management and Roadmap planning Tool

    -

    Designed and Developed enterprise-level web application weekly saving 4-5 hours per manager.
    Built application which analyzed demand vs supply to calculate program targets.
    Tracked and prioritized cross-domain dependencies in the organization.
    Provided a high-level view of planned programs for the upcoming year.
    Technologies: ReactJS, ExpressJS, MySQL, REST API, Google Cloud Platform, NodeJS, Kraken

  • Predict readmission for Diabetes patients

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    Implemented machine learning algorithms to predict the probability of a patient suffering from diabetes.
    Technologies: Jupyter Notebook, Python

  • Real-time air quality alert monitoring system for Asthma Patients

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    Deployed a website using a CI/CD pipeline on Azure Cloud displaying real-time air quality data.
    Technologies: Microsoft Azure, C++, React, Sparkfun

  • AI Agent for Minesweeper

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    Implemented an AI Agent which is able to play and solve the Minesweeper game with 75 % accuracy.
    Technologies: Java

  • xv6 OS Interface and Shell based on UNIX API

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    Developed a prototype of an OS Shell for xv6.
    Technologies: Unix API, C

  • OpenMail - An Android-based email Client

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    Used Artificial Neural Network to classify spam emails with 93% accuracy.
    Retrieved and provided on-device storage of emails to provide security using SQLite Database.
    Prioritized emails using Ranking Algorithm based on each user’s behavior to ensure a personalized experience.
    Deployed model on Flask server to achieve platform independence.
    Technologies: Java, Android, Gmail API, Keras, SQLite, Flask, Python

    See project

  • Anna-Admin and User Administrative Application

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    Developed admin and user applications for Android using Firebase backend which saved 600 hours of annual company time in administrative tasks.
    Reduced 99% waste in resources used by providing a feature of generating daily email reports.
    Used transactional database to display real-time data on both applications.
    Enhanced communication by implementing targeted and topic-based cloud messaging and notifications using node backend.

    See project

  • Website for a Counselling Center

    -

    Allows patients to schedule and manage appointments online by using Google forms which increased inquiries by 70% and user retention by 16%.
    Provided location tracking of the clinic with the help of Open Maps API.
    Technologies: HTML, CSS, Bootstrap, Open Maps API

Honors & Awards

  • Outstanding Student

    -

Languages

  • English

    -

  • Hindi

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  • Marathi

    -

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