I aspire to employ my talents in a meaningful position to drive my purpose, expand on my knowledge, achieve mastery in my field, and evolve my professional identity.
I am passionate about asking tough questions and finding complex answers to be deconstructed and transformed into a meaningful message. I strive for excellence and growth in every aspect of my work.
Data is delicate. There are many ways for mistakes to happen at every turn. Having confidence that the data is accurate from collection to presentation is invaluable.
Results are like a box of chocolates, you never know what you're going to get. Or so one would hope when following proper scientific method. They may not be the results you want, but they will be the results you need.
Does the project look just as good on the inside as it does on the outside? A solid foundation at every step guarantees a quality finish.
Cutting corners will only give you a circle that will eventually roll away. Stay thorough and square up.
Meaning leads to purpose. Purpose leads to action. Action leads to success. Know before you leap.
Occam may not have been a successful barber, but his razor remains sharp and true. Simplicity holds both truth and beauty.
This investigation employs simulations of rational agents within frameworks of wealth distribution and public tax funding, where various social tax mechanisms (or 'nudges') are created and their meritocracy indices compared to allow an empirical measure of how effective each mechanism is for voluntary tax collection.
The cryptographic currency Bitcoin has caused major debate, some considering it the first free-market solution to online commerce while others see it as a bubble fuelled by a group of young tech enthusiasts. This study seeks to examine this discrepancy by aiming to answer whether the price of Bitcoin is influenced by herding behavior and media sentiment.
Seperated by participant to see individual intercepts and slopes.
All participants shown across days of sleep deprivation.
Aggregate means of all participants for each day of sleep deprivation.
Seperated by participant to dempnstrate individual inferential statistics.
