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                                     Candidate's Name
EMAIL AVAILABLE                                                                  Street Address  Trotters Drive
PHONE NUMBER AVAILABLE                                                                   Phoenixville, PA Street Address

SUMMARY
Computational Data Science student who is a strategic thinker and business oriented. Seeking full-time
position in data science. Eager to leverage my combined expertise in data-driven strategies and business
insight to contribute to the success of forward-thinking organizations.

EDUCATION
Pennsylvania State University, State College, PA                                               May 2024
College of Engineering - Bachelor of Science in Computational Data Science
Smeal College of Business - Business Fundamentals Certificate
Cumulative GPA: 3.70/4

SKILLS
     SQL, Python, R, Spark, Scala, Java, MATLAB, Excel
     GitHub, Repl, Apache Netbeans, Visual Studio, Azure DevOps, Machine Learning, AI
     Additional Coursework   Data Science Statistical Reasoning and Computation, Mathematics of
     Finance
WORK EXPERIENCE
Database Development Intern, WebstaurantStore, Lititz, PA                 May 2023   August 2023
     Developed database enhancements to the small product shipment catalog, including performance
      tuning, query optimization, and bug fixes.
     Translated business requirements into technical solutions.
     Collaborated with 15 team members to divide large projects into manageable tasks.

PROJECTS
StatBets (Machine Learning)                                                    August 2023   April 2024
      Imported 20 seasons of NFL data, created new features and used ML techniques such as decision
       trees, voting classifiers, and XGboost to predict future game winners.
      Used Flask and SQLite to create a working dashboard.
Hypoxia Ischemia (Neural Networks)                                    November 2023   December 2023
      Designed and developed a neural network, using data from lamb fetuses to predict hypoxia
       ischemia in babies, comprising of one input layer, three hidden layers, and one output layer,
       leveraging backpropagation for training.
      Presented findings showing the model improved over multiple iterations ending with a final error
       rate of 12%.
Image Classifier (Computer Vision)                                     September 2023   October 2023
      Imported 10,000 JPEG images categorized into 10 distinct classes.
      Created a neural network consisting of ReLU, Maxpool, and Convolution layers.
      Trained and optimized the network to accurately predict unseen images.
Course Scheduler (Computer Science)                                   November 2021   December 2023
      Designed and developed an intuitive Graphical User Interface (GUI) for scheduling college
       classes.
      Used Object-Oriented Programming (OOP) techniques including class hierarchies in Java.

EXTRACURRICULAR ACTIVITIES
Intramural Basketball; Intramural Flag Football