Tag: Data Analysis

Laber Labs | Day 6

Today we spent half of our time working on the video game, Zombies on Treadmills for Laber Labs! We collaborated with some of the game designers previously and today we tested out their levels. It felt especially special because us three were the first people to get to test the game!

The rest of the day we spent finalizing the quiz questions for our Alternative Stats quiz. We came up with some fitting responses to questions like Which is known for having a body of steel, a slim physique, and a charming personality? After determining whether the answer to this is David Blackwell, or a flirtatious spatula, you will get responses such as, David Blackwell was known for his modest and enthusiastic personality and his infectious smile, but was not made out of metal, and the flirtatious spatula is firm and unyielding in their body AND their attraction to you. ( ͡° ͜ʖ ͡°)

Lenovo

Today was filled with finishing projects and saying our final goodbyes but if the shoe fits I could have a potential paid internship at Lenovo in the future. This internship was definitely was a dream come true and I have learned so much above Lenovo, product management, and having a real job. As we close this chapter I’d like to thank CA and Lenovo for this opportunity.

5/31

Today, after we worked on our presentation to the school and Mark, the CIO of Gilead Sciences, we did a dry run presentation to Mike, one of our mentors. He gave both me and Matthew a lot of helpful tips for our presentation. Not just things about the slideshow, but also about how we, as people, present. He pointed out some of the unconscious fidgets I do while presenting and how I can fix them, and gave Matthew some pointers on how he could improve his speaking. I think this was really helpful, not just for the presentation but also for going anywhere in the future. Here’s a photo of our whiteboarding process for creating the slideshow.

Laber Labs | Day 5

We were over zoom today as well, and met with Dr. Laber to discuss statistical models and do some R code. Specifically, we learned how to make a regression model using R. We brainstormed ideas on how to model this data, and then put it into R.

In the afternoon, we met with Jesse Clifton a statistics student at NC State and he discussed AI and the moral and ethics of using such technology. Firstly, he explained some of the big breakthroughs in AI tech lately, then venturing on to potential risks in using AI, such as the AI prioritizing different things and putting us (humans) at risk.

Laber Labs | Day 4

Over a zoom meeting, Justin Weltz from Duke university called us to discuss social networks and sampling methods. We discussed the pros and cons of biased and random sampling and applied sampling probabilities with math. We also further discussed reinforcement learning today and how it connects to AI and machine learning.

Lenovo

We’re all in this together as pride month begins. Today during one of our meetings we met with the person another Cary Academy group is working with as well as we struggled with camera issues again turning one of our calls into almost a girls call since the camera didn’t like zooming over to Mr. Lancia. Besides the calls today was filled with sharing as we went over my research and learning more about Lenovo trying to sell software on Amazon.

Lenovo

We’re almost there as we begin our second week of the WEP. Today was another work from home day since Mr. Lancia was still on his way back from the mountains. Due to this today was filled with a lot of research and runs to school to get a gift and write a thank you card. Tomorrow will be my first day back into the office for the week and I am looking forward to everything that is in store for tomorrow.

Laber Labs | Day 3

Alex Cloud, from Riot Games, came in to talk and teach us about some new statistical concepts. Including, luck/skill in games, estimands, estimators, and more. I got a lot of new takes on statistics and how it works its way into lots of things from this talk. We also got to play around with the neural network called DALL-E. Its function is to take captions produced by people and create AI-generated photos from the caption given. He let us play around with the AI and make different captions for the AI to try and recreate, some turned out really great, some didn’t fit the concept we were looking for, and some looked like it was pulled off of DeviantArt (an art sharing platform) haha

Here are some examples taken from the DALL-E website of what the AI can recreate with those given captions.

5/27

We worked from home today since most people do not come into the office on Friday, including our mentors for this program. We started with a zoom call with Deepti about what we would be working on from home, but after that it was free reign to complete yesterdays work. I asked some questions while I was on the zoom call, but I had more during my work, so I did some research and went to geeks for geeks and managed to solve my bug. Here is my final product of that day’s assigned work! I’m pretty proud of this one, it took a lot of work and I think it looks nice.

5/26

Today we learned how to use R (a programming language for statistical analysis) to analyze and graph covid data, and I really like this language. It’s intuitive, the commands make sense, and the stuff you can do with it is really impressive! Here is some of the example work created with the data, this specific data set is about heart disease correlation with cholesterol levels, but our work today was focused on trying to graph covid data from the WHO. I can share some of my progress tomorrow.

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