A look back: 8 weeks at General Assembly : Data Science Immersive, Remote Edition
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It’s been 8 weeks at General Assembly. How do I feel?
Honestly, it reminds me of the university grind of school-work-sleep. I haven’t ever felt too overwhelmed at any point, whether to the relentless work of the student success team, the comradery of my fellows who are all suffering under this workload, or the adaptation into school 40 hours a week. You could say it has been fun so far.
I’m still a Engineer, but I am now also a Data Scientist
In that time, I can easily say that I’ve learned Data Science worth its weight in gold. Concepts I struggled with in university such as machine learning are now a breeze, either with or without usage of neural networks. I have a soft spot in my heart for the Logistic Regression classification method because of how quick it is and the bench line it provides as a classifier.
I’ve transcended Python programming from a hobbyist to where I could easily move in as an early career professional, qualifying as a junior Python developer. I’ve gone through the rounds of utilizing tools like:
- Pandas (Reading and manipulating data)
- ScikitLearn (Statistical Modeling and Inference)
- Tensorflow (Neural Net Machine Learning
I’ve learned how to train machine learning models, save them to a file, and then deploy them to a place like Heroku using front end frameworks like
- Bootstrap (basic HTML5)
- Flask (easy multi page development)
- Streamlit (Quick deployment of statistical models and interactive predictions).
I’ve worked with small data , big data, categorical data, natural language data, time series data, images.
- Small Data: Fits into your computer’s RAM (a few MBs)
- Big Data: Does not fit into your computer’s RAM (13 GB of images I had to deal with for a hackaton. Check out my kaggle here where I tried to implement lazy loading into sklearn estimators)
- Categorical Data: Red, Blue, Green,
- Natural Language Data: Reddit Comments
- Time Series Data: Options Trading, Population, COVID Trends
I’ve slept 15 hours in a day, and other days I don’t sleep at all. It’s quite like college, in a sense.
I’m still a Engineer, but I am now also a Data Scientist — with the wonderful skill-sets of both, becoming a well rounded Engineering Scientist who is able to record, maintain, manipulate and finally create predictive models using the data I collect.
Current job application counter for General Assembly as of (10/21/2020):
40
Keep up to date with my professional information here!
Reach out if you are working on a cool programming project you’d like to share! I am always interested in seeing the work the community at large is doing!
And, if you or someone you know is building cute robots, please message me immediately; I would like to fawn over these cute robots as well:
