Raj Khera

Junior at Purdue University (2022 ~ 2026)
Majors: Computer Science, Data Science, Applied Statistics

I am currently a junior at Purdue University, majoring in Computer Science, Data Science, and Applied Statistics. I am passionate about Data Science, AI, and Machine Learning. I love applying my skills to tackle real-world problems and learning new topics in the field of computer science. Outside of school, I enjoy practicing kendo, playing guitar, cooking, or reading.

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Work Experience

  • September 2024 ~ Present
    Professor Kihara's Lab
    Undergraduate Researcher
    Developing deep learning computational methods to perform Protein Function Prediction (PFP) in medical patients
  • May 2024 ~ August 2024
    Stryker
    Data Science Intern
    Developed a full-stack LLM chatbot used by employees to aid in financial planning and efficient information retrieval Tested time series algorithms to forecast over 300,000 SKUs and improve model test pipelines
  • August 2023 ~ Present
    Purdue University
    Undergraduate Teaching Assistant
    Work with faculty to facilitate lab sessions, teach curriculum, and hold office hours for over 100+ students Teach the fundamentals of Object-Oriented Programming, Dynamic/Recursive Data Structures, and Graph Theory
  • August 2023 ~ December 2023
    Merck & Co
    Data Science Researcher
    Designed an NLP model in Python using LDA and BERT to extract data from 500+ webscraped research papers; input documents in a searchable database to enable easier data access by the Merck research team
  • August 2022 ~ May 2023
    Keystone Cooperative
    Data Science Researcher
    Developed fuzzy matching algorithms with Python to consolidate 700,000 disjointed customer accounts into one master account per customer

Projects

LearnerLink AI

April 2024

  • Designed a Machine Reading Comprehension (MRC) system and fine-tuned Google's mT5 model, linking topics from End of Chapter Questions to relevant sections of the text and enhancing study strategies.
  • Competed against 60+ hackers and won Datafest, receiving awards for “Best in Show” and “Best Use of Outside Data”

Diabetic Retinopathy Image Classifier

July 2024 ~ September 2024

  • Utilized Convolutional Neural Networks (CNN) using Python for multi-class categorization of diabetic retinopathy severity
  • Performed image augmentation using various techniques on 90GB of image data, blending left and right eye images and tuning model parameters to achieve 81% accuracy

Research Paper Recommendation System

August 2024 ~ September 2024

  • Developed a full-stack content-based recommendation system by web-scraping over 5,000+ research and conference papers
  • Performed hyperparameter tuning, preprocessing, and vectorization techniques to list similar papers and increase recommendation accuracy

Online Clothing Marketplace

September 2022 ~ December 2022

  • Designed and created an online clothing marketplace for sellers and customers in Java
  • Implemented client/server connection, concurrency, GUIs, and access control to the application

Classwork

Computer Science Coursework

  • Data Mining & Machine Learning
  • Artificial Intelligence
  • Data Structures & Algorithms
  • Python Programming
  • C Programming
  • Computer Architecture
  • Object Oriented Programming

Math/Statistics Coursework

  • Statistical Theory
  • Probability
  • Data Science Statistics
  • Discrete Math
  • Linear Algebra
  • Multivariable Calculus

Contact Me

Call : +1-(408)-821-0094
rkhera@purdue.edu