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Work

Battelle - Data Science Researcher

  • Collaborated with Battelle Research: NLP-based relation extraction using BERT Transformer and Hugging Face library.
  • Applied hyperparameter tuning algorithms: Grid Search, Random Search, and Bayesian Optimization to improve BERT model performance.
  • Worked on models: Recurrent Neural Networks, LSTMs, K Means Clustering, Logistic Regression, SVM, and Random Forest for keyword extraction.
  • Pre-processed data and engineered features: Using Pandas and NLTK.
  • Effectively communicated research methodology and findings: Through oral presentations and written reports.

Amazon - Store Associate

  • Provided top-notch customer service: Enhancing shopping experiences and fostering repeat business.
  • Built positive relationships with customers: Addressing inquiries about products and services.
  • Handled customer complaints: Quickly resolved issues to ensure customer satisfaction.
  • Processed cash and credit transactions: Using a POS system.

Education

Purdue University - B.S. in CS and DS

  • Coursework: Discrete Mathematics, Object-Oriented Programming, Linear Algebra, Calculus III, Statistics, Intro to Data Science

James B Conant - High School Diploma

  • Coursework: AP Computer Science A, AP Statistics, AP Calculus BC

Projects

Digit Recognition Predictor

  • Developed a Deep Neural Network utilizing Keras and TensorFlow for accurate prediction of handwritten digits.
  • Employed TensorBoard for visualizing diverse metrics and leveraged Gradio to enable users to visualize predictions of their own handwritten digits.

NBA Data Visualization

  • Collected NBA game data by making API calls, dynamically fetching information based on user-selected dates.
  • Employed Dash and Plotly to develop an interactive web visualization showcasing NBA game locations on a map along with diverse statistical insights.

Book Recommendation System

  • Implemented a user-friendly database search system enabling users to explore diverse books based on multiple search parameters.
  • Designed a personalized book prediction system that presents users with tailored recommendations using their historical checkout data.

Check out these projects on my GitHub profile.

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