Summary#

Primarily used for API and backend integration, data science, database interaction, and machine learning.

Key Strengths#

• Training and evaluating machine learning models alongside various Python libraries
• Analyzing bioinformatic data and using bioinformatic algorithms to investigate biological data
• Interacting with API and logic layers of fullstack applications including connecting and querying SQL databases, writing unit and integration tests with Unittest, and debugging backend issues

Related Projects#

• Study Buddy - An Academic Companion
• CIFAR-10 Image Classification
• Recognizing Temporal Petterns using an Echo State Network
• Multiple Sequence Alignment with Custom ClustalW Implementation
• Comparing Pattern Matching Algorithms on the Sorangium Cellulosum Genome
• Exploratory Data Analysis on Beers & Breweries Datasets
• Titanic Survival Prediction
• Classifying Digits with Logistic Regression