I am a Master’s student in Computer Science at Northeastern University and a Python tutor for all skill levels. Prior to graduate school I worked as an R&D chemist in the solar industry. My natural curiosity for the physical sciences led me to discover what I love most about being a chemist, understanding the world through analyzing data, and building a strong CS foundation has improved my ability to transform data into insights.
Life cycle models, agile methodology, requirements analysis, architecture, user-centered design, design principles and patterns, code refactoring and debugging, testing, and integration and deployment
Dynamic, data driven, and interactive sites, integrating multiple languages, assorted data technologies, and Web interaction, considers ASP.NET, C#, HTTP, HTML, CSS, XML, XSLT, JavaScript, AJAX, RSS/Atom, SQL, and Web services
Memory management, UI building, MVC principles and specific tools, touch events, data handling, network techniques and URL loading, and sensors
Relational DBMS, object-relational DBMSs, design, performance, SQL, interfaces, concurrency, transactions, security, constraints, and spatial, text, XML conversion, and time series specialized engines
LiveFast die young, they say. I am building a mobile app called LiveFast for tracking metabolic states as they correlate to lifestyle. It's well documented that intermittent fasting promotes youthfulness, but we're still executing a one size fits all approach to intermittent fasting. Metabolic states are dynamic, they respond to the content and timing of meals, intensity of excercise, stress, and sleeping patterns. LiveFast provides real-time updates on your metabolic state based on your age, gender, weight, and diet. Coming to the Google play store in March 2021.
