Donovin Emerson

Donovin Emerson

Data to insights

Projects

Check out my projects below. Feel free to comment, ask a question, or let me know what I missed and can improve!

Connect

I’d love to connect! Check out my GitHub and send an email or message on LinkedIn. GitHub LinkedIn Mail

About

I grew up in small town Kansas but have always been a city mouse. A few years ago I discovered a passion for finding insights like needles in a haystack of data. Often it just...

Financial Machine Learning Coursework

Coursework from Northwestern's MS Data Science program MSDS 451 Financial Machine Learning This course covered methods to improve statistical robustness in low signal to noise... Read More "Financial Machine Learning Coursework"

Fake detector

Detecting deepfakes has become an increasingly important issue. This fake-detector repo contains three applications which are currently stand alone but may become integrated as part... Read More "Fake detector"

ARIMA-MCMC

We propose a novel approach to predicting financial time series using a combination of ARIMA and Markov Chain Monte Carlo (MCMC). This was a team... Read More "ARIMA-MCMC"

Exploration of Neural Network Architectures and Hyperparameters

Full factorial experiment design using MNIST handwriting dataset The purpose of this study was to closely examine the influence of hyperparameters on single-layer neural networks... Read More "Exploration of Neural Network Architectures and Hyperparameters"

Connect

I’d love to connect! Check out my GitHub and send an email or message on LinkedIn.

About

I grew up in small town Kansas but have always been a city mouse.

A few years ago I discovered a passion for finding insights like needles in a haystack of data. Often it just takes an inquisitive mind, a few good questions, and in those rare moments being brave enough to embrace the entrepreneurial spirit to buck ‘conventional’ wisdom and explore ‘things that will never work.’ Investing a few of my evenings on these adventures were always great learning opportunities and sometimes they were even successful! As my career progressed, fewer of my contributions came from asking data to reveal its secrets… I missed these adventures enough to know it was time for a change.

Having a passion for data and being good at data science are two different things. I knew there was a lot to learn, so I decided to take an “adult gap year” (well, almost two years) to pursue a data science master’s degree at Northwestern University.

This has been the most amazing and challenging experience of my life. I get to learn new ways to transform data into information almost every day and I feel incredibly blessed that my family found a way to make everything work (and put up with me as a grad student). I’m looking forward to joining a new team to share the skills I’ve gained at Northwestern and am excited to learn from them how they bring data to life in their organization.