Data Science Experience is proud to announce a new class of summer interns, a team of budding data scientists and engineers working on DSX and Watson Machine Learning. This post will give an introduction to the people and the projects behind what’s new in DSX this summer.
Proactive Customer Service
How can we improve customer service with machine learning and predictive analytics?
This project presents a general framework for understanding and responding to the “patterns of distress” that clients and customers experience when working with a service.
I’ll use machine learning techniques to anticipate common problem types and to recommend solutions to users; identify and analyze trends in user behavior; highlight the principal pain points for users; and characterize sentiment and emotional responses.
Who am I?
I’m Adam Massachi, an intern with the Data Science Experience team in Chicago, IL. Before IBM, I worked on political campaigns for Democrats. I have undergraduate degrees in Mathematics and Philosophy.
The teams behind Deep Blue, Cepheus Poker, and AlphaGo inspired my interest in machine learning and data science.
Reach out @adammassach!
The Intersection of Data Science and Health Care
How can we improve patient outcomes with neural networks?
In the healthcare industry, there is a ton of data that already exists. Electronic medical records, radiological images, data from wearables and medical monitoring devices — the list goes on. Making sense of all of this data is a key challenge that healthcare providers face. My project aims to improve patient outcomes by integrating the diverse data sources available to medical professionals and developing solutions guided by machine learning and data science.
Who am I?
My name is Emma Schroeter and I am a rising senior at the College of Wooster studying Neuroscience. This summer, I am working as a Data Science intern for the Watson Data Platform in New York. I’ve recently developed an interest in machine learning through my independent study thesis which investigates neural networks and the failing mechanisms involved in Alzheimer’s disease.
Data Science in the Sky
How can we connect industry expertise and enterprise data science?
There is a breadth of ways that enterprise level data science tools can provide insights for airlines, from revenue management to real-time decision optimization. I am a frequent flier myself, providing me unique insights as both a customer and a data scientist. Consequently, one of the projects I will be working on this summer will be to make DSX more relevant to key challenges in the airline industry.
Who am I?
Hello everyone! My name is Akhil Tandon, and I graduated last spring from the University of Illinois at Urbana-Champaign, where I studied statistics. I am interested in cloud computing, big data, and machine learning, which are all key components to data science.
The Growth Factor
How can we solve growing pains?
I’ll be working on the growth factor of Data Science Experience. My focus is on the user behavior analysis, identifying drop-off points and implementing solutions to those problems. My goal is to make Data Science Experience more relevant to the different users and encourage more users to take advantage of the cutting edge technologies we have available.
Who am I?
I’m Snehal, a Data Science enthusiast and graduate Data Science Student at Illinois Institute of Technology, Chicago. I have prior experience in application development. This summer I’m interning as a Data Scientist at IBM. I intend to leverage my Data Science know-how to enhance IBM’s Data Science Experience and expand the user base.