Gayathri Kanagaraj

Highly motivated Master's student in Computer Science with a strong passion for both software development and machine learning. Eager to launch my career as a full-time Software Engineer or Machine Learning Engineer starting in July 2025. I'm committed to using my academic achievements and practical experience to contribute to cutting-edge and impactful projects significantly. Effective at supporting team needs with high-quality code, subject matter expertise and collaboration skills. Skilled programmer and complex problem-solver experienced in data analytics and report writing.

Identify Customer Segments (Machine Learning with TensorFlow)

• Analyzed demographic data of German residents and customers from a mail-order company using unsupervised learning techniques.
• Applied Principal Component Analysis (PCA) for dimensionality reduction and K-means clustering to identify and compare customer segments.
• Delivered actionable insights into consumer behavior, aiding in the development of targeted marketing strategies.

Landmark Classifier (Deep Learning with PyTorch)

• Developed Convolutional Neural Networks (CNNs) from scratch and used transfer learning to classify global landmarks in images, addressing the challenge of missing location metadata.
• Trained and compared CNN models on a landmark dataset, utilizing Torch Script to export the best-performing models for deployment.
• Deployed the top CNN model as an app to automatically predict and identify landmarks in user-uploaded photos, enhancing user experience with accurate location suggestions.

• Data Analytics Specialization, Google(Coursera) - June 2022
• CSRMP - Computer Science Research Mentorship Program, Google - Class of 2022B
• Computer Vision Nano-degree, Udacity- Feb 2024
• Machine Learning Nano-degree, Udacity - April 2024
• Deep Learning Nano-degree, Udacity - Jan 2024
• Natural Language Processing Nano-degree, Udacity - May 2024

• Dean’s List MSU, Fall 2021, present