My name is Shruti, and I am a junior at Kalamazoo College, currently leading Harvard WeCode'21 under Professional Development Wing. I am a CS honors student at Kalamazoo College, and also the recipient of President's Grant. I am extremely intrigued by how informative data can be. I believe that data is the center of all developments, tech and non-tech, and have been developing projects which will help alleviate problems common to marginalized communities around the world: healthcare, education, sanitation et cetera.

Recently, I developed an application which would track users' mental health and analyse if we need to reach out to a person's social circle to feel supported. There is a lot of data that tells us signs of deteriorating mental health. SIgns and symptoms is data itself, and now that we have that data, I tried pulling a system which would make it easy for people with mental health crisis to reach out for support. The model used was a random-forest-classifier to classify text of a user. The model also kept track of activity of a user, and used it as an additional feature for better and more accurate predictions.

I am very inspired and passionate about tech and Data in healthcare and environmental sciences. My passion to work, learn and grow will be more aligned with projects I am passionate about in terms of the field they are being designed for.

I have experience using Python and its libraries for data visualization, wrangling and analysis. I also am trained using and managing RDBMS and non-RDBMS. I am currently working and designing a time-series model that would act as a first-responder-service analyzing fires in California.

In the past, I have volunteered with Sunrise Movement as a societal volunteer as well as for YWCA where I helped redesign their digital outreach system.

Personal information
Full name: Shruti Chaturvedi
User name: ShrutiC-git
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Not a member of any organization.
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Volunteer background
Education: Bachelor's on Computer Science (Kalamazoo College)
LinkedIn profile
Github profile
Volunteer availability
Start date: None
End date: None
Hours available per week: 20
Volunteering interests
No stated preferences.
Computer Science (Algorithms)
Text Data (NLP)
Multimedia Data (Video or Audio)
Data from Sensors
Data > 1TB
Data in Text Files
Data in Relational Databases
Experience working on real-world problems using data
Data Visualization
Experimental Methods (RCTs, A/B testing, etc.)
Social Science (Economics, Sociology, etc.)
Data Analysis
Decision Trees
Graphical models
Time Series Models
Semi-Supervised models
Random Forests
Neural Networks / Deep Learning

Volunteer projects

No volunteer work yet.