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Ohio State 2023 Report

Spring 2023 Cohort

108 grad students, postdocs, and faculty affiliated with OSU registered out of 550 participants total.

All registrants had access to the following programs and services

  • Career Exploration Seminars

    • Invitations to Industry (Weekly)

    • Invitations to Entrepreneurship (Monthly)
       

  • Data Science Boot Camp

    • 1 month intensive with mentored projects (4 classes per week)
       

  • Mini-courses

    • Python Prep

    • Data Visualization​

    • Software Engineering for Data Scientists

    • Quantum Computing

    • Mixed Methods in Business Intelligence

    • UX Research

  • Interview Prep (Monthly)

    • Foundations: Application Materials, Informational Interviews, Behavioral Interviews​

    • Technical: Whiteboarding, Paired Coding, Case Studies
       

  • 1-on-1 Career Coaching​ (On-Demand)

    • Resume Review​

    • Mock Interviews

    • Navigating/Negotiating Offers
       

  • Employer & Alumni Career Connections

    • Internal and LinkedIn Job Board

    • Introductions to our Hiring Partners​

    • Direct Introductions to our Alumni Members

May 2023 Data Science Boot Camp

Out of 34 teams, 3 teams with participants affiliated with OSU landed in the Top 5 Finals of our Spring 2023 Data Science Boot Camp with one of the teams winning First Place overall:

  • Team 28, "Correcting Racial Bias in Measurement of Blood Oxygen Saturation", FIRST PLACE

  • Team 37, "Protein Function Prediction", TOP 5

  • Team 39, "AirBnB", TOP 5

SPRING 2023

TEAM

Frog and Bird Song Identification

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Data Science Boot Camp

Gautam Prakriya, Florian Stecker, Joseph Melby

Work on the Kaggle Project: https://www.kaggle.com/competitions/rfcx-species-audio-detection

Our goal is to classify bird and frog species appearing in audio recording collected from Puerto Rican rainforests. We use various data preprocessing techniques in conjunction with machine learning classification algorithms to classify species and their song types using small snippets of audio found in noisy rainforest data sound recordings.

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github URL

SPRING 2023

TEAM

Races over the zeros of the Riemann zetafunction

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Data Visualization Mini Course

Suraj Khurana

I will try to create an interactive visualization related to the occurrence of a digit in the decimal expansion of imaginary parts of critical zeros of the Riemann zeta function.

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github URL

SPRING 2023

TEAM

Soccer Manager

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Data Visualization Mini Course

Bhasitha Thuthimal Dharmasena Purijjala Lindagawa Gedara

An interactive visualization to compare the the skills of two chosen soccer players, out of a pool of top rated players in the world.

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github URL

Fall 2023 Cohort

109 grad students, postdocs, and faculty affiliated with OSU registered out of 506 participants total.

All registrants had access to the following programs and services

  • Career Exploration Seminars

    • Invitations to Industry (Weekly)

    • Invitations to Entrepreneurship (Monthly)
       

  • Data Science Boot Camp

    • 12 weeks with mentored projects (1 class per week)
       

  • Mini-courses

    • Python Prep

    • Data Visualization​

    • Software Engineering for Data Scientists

    • Quantum Computing

    • Deep Learning

    • UX Research

  • Interview Prep (Monthly)

    • Foundations: Application Materials, Informational Interviews, Behavioral Interviews​

    • Technical: Whiteboarding, Paired Coding, Case Studies
       

  • 1-on-1 Career Coaching​ (On-Demand)

    • Resume Review​

    • Mock Interviews

    • Navigating/Negotiating Offers
       

  • Employer & Alumni Career Connections

    • Internal and LinkedIn Job Board

    • Introductions to our Hiring Partners​

    • Direct Introductions to our Alumni Members

Fall 2023 Data Science Boot Camp

Out of 37 teams, 3 teams with participants affiliated with OSU landed in the Top 5 Finals, while two more were awarded "with distinction":
 

  • Team 7, "Funk", TOP 5

  • Team 20, "AI-generated Image Detection", TOP 5

  • Team 25, "The Silent Emergency - Predicting Preterm Birth", WITH DISTINCTION

  • Team 27, "Somm", TOP 5

  • Team 45, "Biomedical Categorization" WITH DISTINCTION

FALL 2023

TEAM

Predicting car crashes based on weather

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Data Science Boot Camp

Nicholas Rouse, woojeong kim, Marco Lopez, Ayca Fatma Durmaz, Tasnim Iqbal

We attempt to predict how the number of car crashes vary based on the weather. There is large data set here https://www.kaggle.com/datasets/sobhanmoosavi/us-accidents for us to use.

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github URL

FALL 2023

TEAM

Donut vs Bagel (Demo F23)

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Data Science Boot Camp

This is a placeholder project to demonstrate what an existing team will look like. (Do not join and do not judge)

Classifying images of Bagels vs Donuts

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github URL

FALL 2023

TEAM

Team Salmon

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Data Science Boot Camp

Sean Haight, Andrew Staal, Aycin Iplikci-Arodirik, Sayantan Roy

Salmon populations on the Pacific Coast of North America have been in decline for the last 40 years. Yet salmon have important economic, cultural, and environmental impacts. Indigenous peoples have fished salmon since time immemorial, while commercial and recreational salmon fisheries are worth ~$641 million annually, being a substantial employer in British Columbia. Negative environmental impacts of declining salmon stocks include the disruption of energy and nutrient transfers between the Pacific Ocean and freshwater rivers, and the disruption of the food chain for salmon predators.

Our goal is to study salmon viability, i.e. salmon survival rates, using data science. Here we identify environmental, predatory, and human factors that have the largest impact on salmon populations in the Strait of Georgia. We reduce to a minimal set of features that have the most effect on salmon viability, and build a linear regression model using estimated features.

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github URL

John Beacom Testimonial

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