Morgan Stanley x AUC DSI Data Challenge 2023

General Information

Morgan Stanley and the Atlanta University Center (AUC) Data Science Initiative invite teams of 4 to 6 AUC undergraduate and graduate students to solve a real-world problem, have access to industry and university co-mentors, and compete for $10,000 in total prize money.

Apply by October 1st!

The Data Challenge invites teams to explore an analytical project to identify new potential locations for the targeted expansion of an emerging financial organization. Teams will be provided with sales data from the company’s existing operational locations and should explore supplementary data that can be useful for solving the challenge. Teams will identify key attributes contributing to success in top-performing areas and leverage these attributes to propose prospective areas for expansion to the company’s marketing team.

Data Description: The file location.csv contains data of 1500 US-based Zip codes with a target variable where the emerging financial organization’s business is doing well. To conduct an analysis of the right investible business areas for the organization, teams are encouraged to search for publicly available datasets to combine with the provided data.

Objectives:

Exploratory Data Analysis – Utilize visualization tools to generate insights into the performance of existing locations. Please bring novelty in augmenting given data by exploring additional data.
Develop Analytical Solution – Teams should use analytical/statistical/predictive modeling techniques (e.g., machine learning, natural language processing, artificial intelligence) to identify high-potential areas to support expansion.
Deliver a Business Presentation – Teams will give a 10-slide PowerPoint presentation with predefined sections (i.e., Objective, Findings, etc.).

Notes:

Data we recommend: https://www.census.gov/topics/research/data-science.html
Do not use data with sensitive attributes or personally identifiable information.
No purchased/exclusive datasets will be allowed.

Submissions: Team submissions include the input data sets, all code with comments, and a 10-slide PowerPoint presentation detailing the work and reasoning of datasets and analysis techniques used. Submissions will be evaluated on the following for a maximum of 25 points:

The ability to augment data (7 points)
The richness of analysis & insights (6 points)
The practicality of the solution and recommendation to the business (4 points)
The novelty of visualizations implemented (3 points)
The presentation to C-suite executives of the emerging financial organization (5 points)

Mandatory Sessions: All team members must attend all sessions and competition presentations. The sessions provide key insights on how to excel in the challenge. Here are the key dates:

9/27, 5:30-7:00 pm, virtual, Info Session - REGISTER HERE
10/4, 5:30-7:00 pm, in-person, Session #1
10/12, 5:30-7:00 pm, virtual, Session #2
10/26, 5:30-7:00 pm, virtual, Session #3
11/8, 5:30-8:00 pm, virtual, Competition Round #1
11/30, 11:30 am-1:30 pm, in-person, Competition Round #2

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This opportunity has been made possible in part by:

If you have any questions, please contact:
Yvonne Phillips
yphillips@aucenter.edu

Application Information: Please input your team's information. Teams of 4 to 6 AUC students are invited to apply. Only ONE person from the team should fill out this application.

This competition is open to all students at Clark Atlanta University, Interdenominational Theological Center, Morehouse College, Morehouse School of Medicine, Morris Brown College, and Spelman College.

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* 1. What is the name of your team?

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* 2. Contact Information for Team Member 1

First Name *

Last Name *

AUC Institution

Major/Field of Study

Classification

School Email Address *

Phone Number *

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* 3. Contact Information for Team Member 2

First Name *

Last Name *

AUC Institution

Major/Field of Study

Classification

School Email Address *

Phone Number *

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* 4. Contact Information for Team Member 3

First Name *

Last Name *

AUC Institution

Major/Field of Study

Classification

School Email Address *

Phone Number *

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* 5. Contact Information for Team Member 4

First Name *

Last Name *

AUC Institution

Major/Field of Study

Classification

School Email Address *

Phone Number *

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* 6. Contact Information for Team Member 5 - OPTIONAL

First Name

Last Name

AUC Institution

Major/Field of Study

Classification

School Email Address

Phone Number

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* 7. Contact Information for Team Member 6 - OPTIONAL

First Name

Last Name

AUC Institution

Major/Field of Study

Classification

School Email Address

Phone Number

Instructions for Resumes/CVs: Please upload each resume/CV as a PDF with a page size of 8.5 in x 11 in, and saved as "LastName_FirstName_YourHBCUName."

For example, save the resume as: Abrams_Stacey_SpelmanCollege

Here is a Sample Resume.

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* 8. Please upload the resume/CV as a PDF of Team Member 1.

Maximum of 2 pages.

PDF file types only.

Choose File

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* 9. Please upload the resume/CV as a PDF of Team Member 2.

Please upload the resume/CV as a PDF with a page size of 8.5 in x 11 in, and saved as "LastName_FirstName_YourHBCUName."

For example, save the resume as: Collins_Marva_ClarkCollege

Maximum of 2 pages.

PDF file types only.

Choose File

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* 10. Please upload the resume/CV as a PDF of Team Member 3.

Maximum of 2 pages.

PDF file types only.

Choose File

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* 11. Please upload the resume/CV as a PDF of Team Member 4.

Maximum of 2 pages.

PDF file types only.

Choose File

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* 12. Please upload the resume/CV as a PDF of Team Member 5. [OPTIONAL]

Maximum of 2 pages.

PDF file types only.

Choose File

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* 13. Please upload the resume/CV as a PDF of Team Member 6. [OPTIONAL]

Maximum of 2 pages.

PDF file types only.

Choose File

Recommendation: You may want to use a word processor and then copy-paste the responses into the text boxes.

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* 14. Please describe any data science courses, activities, internships, or research experiences the team members engaged in and any insights gained.

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* 15. Please describe any data science experience (or curiosity!) the team members have, including project work that leverages programming in R or Python, analytics (statistical/machine learning/AI) programming skills, and the communication of findings.

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* 16. Please describe how each member of your team has an interest (or curiosity!) in pursuing a data-oriented career.

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* 17. Please describe the approach your team would apply to analyze a data-oriented problem.

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* 18. My Team agrees to:

Attend the mandatory sessions on 10/4 (in-person, 5:30-7:00pm, location TBD), 10/12 (virtual, 5:30-7:00pm), 10/26 (virtual 5:30-7:00pm).

Present at the Round #1 Competition on 11/8 (virtual, 5:30-8:00 pm).

If selected, present at the Round #2 Challenge Day on 11/30 (in-person, 11:30am-1:30 pm, location TBD).

Meet weekly with the assigned co-mentors (virtually).

Give the AUC Data Science Initiative permission to share all application and competition submission materials with representatives at Morgan Stanley.

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* 19. Stay connected with the AUC Data Science Initiative!

Please subscribe me to the AUC Data Science Initiative monthly newsletter

Morgan Stanley x AUC DSI Data Challenge 2023

General Information

Question Title

This opportunity has been made possible in part by:

Question Title

* 1. What is the name of your team?

Question Title

* 2. Contact Information for Team Member 1

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* 3. Contact Information for Team Member 2

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* 4. Contact Information for Team Member 3

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* 5. Contact Information for Team Member 4

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* 6. Contact Information for Team Member 5 - OPTIONAL

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* 7. Contact Information for Team Member 6 - OPTIONAL

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* 8. Please upload the resume/CV as a PDF of Team Member 1.

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* 9. Please upload the resume/CV as a PDF of Team Member 2.Please upload the resume/CV as a PDF with a page size of 8.5 in x 11 in, and saved as "LastName_FirstName_YourHBCUName." For example, save the resume as: Collins_Marva_ClarkCollege

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* 10. Please upload the resume/CV as a PDF of Team Member 3.

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* 11. Please upload the resume/CV as a PDF of Team Member 4.

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* 12. Please upload the resume/CV as a PDF of Team Member 5. [OPTIONAL]

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* 13. Please upload the resume/CV as a PDF of Team Member 6. [OPTIONAL]

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* 14. Please describe any data science courses, activities, internships, or research experiences the team members engaged in and any insights gained.

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* 15. Please describe any data science experience (or curiosity!) the team members have, including project work that leverages programming in R or Python, analytics (statistical/machine learning/AI) programming skills, and the communication of findings.

Question Title

* 16. Please describe how each member of your team has an interest (or curiosity!) in pursuing a data-oriented career.

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* 17. Please describe the approach your team would apply to analyze a data-oriented problem.

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* 18. My Team agrees to:

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* 19. Stay connected with the AUC Data Science Initiative!

* 9. Please upload the resume/CV as a PDF of Team Member 2.

Please upload the resume/CV as a PDF with a page size of 8.5 in x 11 in, and saved as "LastName_FirstName_YourHBCUName."

For example, save the resume as: Collins_Marva_ClarkCollege