Rishika Drona

Fremont, California, United States Contact Info
490 followers 376 connections

Join to view profile

Experience & Education

  • Deutsch LA

View Rishika’s full experience

See their title, tenure and more.

or

By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.

Licenses & Certifications

Volunteer Experience

  • Microsoft Graphic

    Application development Coordinator

    Microsoft

    - 5 months

    Science and Technology

    - Curriculum Development: Developed comprehensive learning materials and curriculum for the coding learning event, ensuring alignment with the latest industry trends and best practices.
    - Student Engagement: Fostered a collaborative learning environment by organizing coding challenges, hackathons, and coding competitions, resulting in increased student participation and interest.
    - Mentorship: Provided one-on-one mentorship and guidance to students seeking assistance in programming…

    - Curriculum Development: Developed comprehensive learning materials and curriculum for the coding learning event, ensuring alignment with the latest industry trends and best practices.
    - Student Engagement: Fostered a collaborative learning environment by organizing coding challenges, hackathons, and coding competitions, resulting in increased student participation and interest.
    - Mentorship: Provided one-on-one mentorship and guidance to students seeking assistance in programming languages such as Javascript, SQL, and Python, resulting in improved student proficiency.
    - Resource Management: Efficiently managed learning resources, including computers, software licenses, and training materials, ensuring smooth and uninterrupted coding sessions.
    Feedback Collection: Implemented a feedback system to collect input from students, enabling continuous improvement of the learning event and curriculum.
    - Technical Support: Offered technical support and troubleshooting assistance to students facing coding challenges, aiding in problem resolution and skill development.
    Collaborative Projects: Encouraged students to collaborate on real-world coding projects, fostering teamwork and practical application of their skills.
    - Progress Tracking: Implemented tracking mechanisms to monitor students' progress throughout the event, providing regular feedback and customized learning paths.
    - Networking: Cultivated relationships with industry professionals and invited guest speakers to share insights and opportunities, enhancing students' exposure to the tech industry.
    - Event Promotion: Actively promoted the coding learning event through various channels, resulting in increased attendance and visibility on campus.
    - Adaptability: Successfully adapted to changing circumstances, such as transitioning to virtual learning environments during the COVID-19 pandemic, ensuring continuity of the coding event.

Projects

  • LLM Application

    -

    using OpenAI to access ChatGPT models like gpt-3.5-turbo, gpt-4, etc. and Anyscale Endpoints to access OSS LLMs like Llama-2-70b

  • LLM (Large language Models) index

    -

    LlamaIndex (GPT Index) is a data framework for your LLM application. Building with LlamaIndex typically involves working with LlamaIndex core and a chosen set of integrations (or plugins). There are two ways to start building with LlamaIndex in Python:

    The LlamaIndex Python library is namespaced such that import statements which include core imply that the core package is being used. In contrast, those statements without core imply that an integration package is being used.

  • Spotify Artists Analysis

    -

    The purpose of this project is to analyze how different or how similar is the music that different artists on Spotify produce. The focus will be placed on disentangling the musical taste of 50 different artists from a wide range of genres. Throughout the process, I also identify different clusters of artists that share a similar musical style.

  • Movie Lens Recommendation Analysis

    -

    This repo shows a set of Jupyter Notebooks demonstrating a variety of movie recommendation systems for the MovieLens 1M dataset. The dataset contain 1,000,209 anonymous ratings of approximately 3,900 movies made by 6,040 MovieLens users who joined MovieLens in 2000.

  • Trip Optimizer

    -

    The objective is to find the shortest route that visits a set of locations. For this problem, optimization techniques are required to intelligently search the solution space and find near-optimal solutions.

  • Churn Risk Rate

    -

    Churn rate is a marketing metric that describes the number of customers who leave a business over a specific time period. . Every user is assigned a prediction value that estimates their state of churn at any given time. The task is to predict the churn score for a website based on the features provided in the dataset.

  • AI chat - Jarvis

    -

    This is the New Jarvis AI Project which will do some functionalities followed by user query.

  • Amazon expenditure analysis

    -

    The project is based to analyze the expenditure using machine learning techniques like supervised and unsupervised learning

  • Amazon Predictive Model for Device Failure

    -

    Building a predictive model using machine learning to predict the probability of a device failure

  • Review Sentiment Analysis

    -

    A project based on reviews given by students for professors and to analyze them using sentiment analysis.

  • Stack Overflow Analysis

    -

    An analysis on comments posted on a problem and how popular do the comments get on a post that is old or new.

  • The Solo Traveller blog

    -

    A website made for people to create their account and can write a blog for their adventurous travel experience across the globe
    FrontEnd:
    React.js: For a dynamic and interactive user interface.
    React-Redux: Managing state effortlessly.
    React Hooks: Enhancing component logic.
    React-Bootstrap: Ensuring a sleek and responsive design.
    Redux-thunk: Making asynchronous actions a breeze.
    Axios: For smooth data fetching.

    Database:
    MongoDB: Providing a robust and flexible…

    A website made for people to create their account and can write a blog for their adventurous travel experience across the globe
    FrontEnd:
    React.js: For a dynamic and interactive user interface.
    React-Redux: Managing state effortlessly.
    React Hooks: Enhancing component logic.
    React-Bootstrap: Ensuring a sleek and responsive design.
    Redux-thunk: Making asynchronous actions a breeze.
    Axios: For smooth data fetching.

    Database:
    MongoDB: Providing a robust and flexible NoSQL database.
    Mongoose: Streamlining data modeling.
    MongoDB Atlas: Ensuring scalability and reliability in the cloud.

    BackEnd:
    Node.js: For lightning-fast server-side scripting.
    Express.js: Simplifying route handling and middleware.
    Passport.js: Enabling secure authentication.
    JsonWebToken: Keeping user data safe and sound.

  • Netsim

    -

    Web-based network simulator for teaching hacking to high schoolers without the login page. Tested it to make it work by removing its login page.

Honors & Awards

  • Best Performer of the Year

    Deutsch

    Received an award for outstanding performance in the Business Intelligence team, recognizing a year of dedication, innovation, and impactful contributions.

View Rishika’s full profile

  • See who you know in common
  • Get introduced
  • Contact Rishika directly
Join to view full profile

Other similar profiles

Explore collaborative articles

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Explore More

Add new skills with these courses