Welcome to ESP

# Splash Biography

## RISHOV CHATTERJEE, Data Science Major at Pitzer College, Entrepreneur

Major: Data Science

College/Employer: Claremont Colleges

## Brief Biographical Sketch:

I'm the first student at Pitzer College to major in Data Science. I believe that advances in artificial intelligence are driving the future, but there is a lot more to think about than just automation and machine learning. I trust the power of human-centered design and the impact of the humanities to drive better decision-making processes in everything in our world. I am also an advocate for STEM education while running a STEM education-based startup called STEMCube. Other than these academic and noble pursuits, I am quite often seen playing video games, watching binge-worthy television shows at home and living it up on the weekends.

## Past Classes

(Clicking a class title will bring you to the course's section of the corresponding course catalog)

M355: Introduction to Data Science in Splash Spring 2020 (Feb. 22, 2020)
In this course, we'll be taking a look at what the most amazing career in our modern times is and why it is so valuable to every industry. The following topics will be addressed: 1. What is Data Science? 2. What does it take to become a data scientist? 3. Contemporary Issues in the Field 4. Data Science Games (Group Activity) 5. Conclusion with Information about ChanR Analytics

M356: Real World, Applied Data Science in Splash Spring 2020 (Feb. 22, 2020)
In this course, you'll learn about applying a Data Science workflow from scratch to explore restaurant listings near your schools. You'll look at these listings on maps and collect data about the restaurants such as their ratings and number of people who gave reviews on them. We'll also look into a machine learning problem about identifying hate speech from tweets. This course will be very friendly towards students who have no prior experience to the field and / or coding by interacting with both projects through the click of a few buttons.

M357: Hands-On, Applied Data Science in Splash Spring 2020 (Feb. 22, 2020)
In this course, we'll go over a Data Science workflow for two projects with the use of Python programming as our main tool. We'll start with a short introduction to Python programming for everyone to feel comfortable with coding and then we'll use some great packages in Python to look at two interesting projects within Data Science: 1. Predicting the Price of a Home with Location Data 2. Classifying Genres of Songs using Spotify Data

M297: An Introduction to Data and Decision Science in Splash Spring 2019 (Feb. 23, 2019)
In this course, we'll look at two important fields that come together side-by-side: 1. Data Science 2. Decision Science The interesting thing about these fields is that because they're so interdisciplinary, nobody really has an explicit definition for them besides combining all the fields of study that go into them on a daily basis. So why is it necessary to know about these two fields? For one, it's highly in demand and pretty much all technology in the future is going to be embedded with concepts that stem from these fields. And secondly, it's pretty awesome because you don't have to be a natural math or computer science savant to break into these growing fields. Before going into the fine details of these state-of-the-art disciplines, I'll be making it clear to you what exactly Data and Decision Science are and how it's different from the other buzz words that you hear about such as "Machine Learning" or "Artificial Intelligence". We'll definitely include a hands-on element in the course which will rely on using a powerful tool called a Jupyter notebook in which we can write notes and code in one place. The code we'll write will be written using the Python programming language. Don't worry if you don't know any programming, I'll provide a very friendly introduction to what you need to know to follow along in-class and also from the course prerequisites. For the hands-on element, we'll look at using concepts from data science and decision science to predict Boston housing prices using a machine learning model which you know about from basic Algebra $$y = mx + b$$, but we'll build on it more formally as $$\hat{y} = \beta _1 x_1 + \beta _0$$ and see how we can get into other methods like using more than one variable to predict the housing price ($$\hat{y} = \beta _3 x_3 + \beta _2 x_2 + \beta _1 x_1 + \beta _0$$) or creating a method that'll give us an interpretable process of making the decision whether or not to buy a house. You'll also learn a lot about statistics, calculus, and linear algebra in this course without feeling intimidated. Other than the hands-on elements, I'll leave you with other very valuable skills that can come in handy if you ever want to become an entrepreneur or a product manager for a company in the tech industry. I'll also advocate how these fields are very welcoming to the liberal arts because the knowledge from those fields of study can be very valuable for getting amazing results for the objectives of data and decision scientists.

P298: Personalized Education and Being Informed in Splash Spring 2019 (Feb. 23, 2019)
This is a course that talks about how education is changing in our world today and the great challenges to students that are associated with this continuous change. One of the biggest challenges we face is ignorance so we'll see how ignorance, as a concept and as a vehicle of fake news, disseminates in the modern world with little regard for people to be informed with the facts. We'll also talk about concepts such as bias and viable sourcing. We'll also talk about what personalized education is and what it looks like in the future along with its pros and cons, in contrast to the educational system that students are currently navigating themselves into.

X270: Emergent and Disruptive Technologies in Splash Spring 2018 (Feb. 24, 2018)
This course will give you an introduction to the concepts of "emergent" and "disruptive" technologies which are basically the technologies that are making a significant impact on our world. We'll specifically cover advances in medicine, transportation, entertainment, and economics. You'll learn all the key words, latest developments, and truly come out of this course with an understanding of what it takes to make a technology disruptive or emergent and how you can also take part in the new technological revolution.

M271: Intro to Data Science and Machine Learning in Splash Spring 2018 (Feb. 24, 2018)
In this course, we'll be talking about the #1 job on Glassdoor called Data Science. We'll answer questions such as what exactly is this fascinating field and how does it differ from mathematics or computer science? We'll also go over things such as how to become a data scientist and I'll even teach beginners how to program in Python and build a basic stock market prediction app. We'll go over all the math and computer science concepts related to Data Science and even go over concepts in Data Mining, Deep Learning, and Artificial Intelligence to really get everyone excited about this field.