Temiloluwa
Oluwasesin.
Data Science & Economics student building resource-planning applications, access automation, and analytical tools.
Explore the applications ↓Resource Allocation
Application
Python · Streamlit · Snowflake
Built for UCSB · In final approval stages
Employees assemble monthly project allocations. Managers review the request, adjust entries, and record a decision.
Why this is a recreation The original application contains confidential university employee and project data, so I cannot publish the live application or its actual records. This version demonstrates the workflow with sample names and invented allocations; none represent real employee activity.
Create Proposed Resource Request
Request a new project +
Current project allocations Read only
| Employee | Role | Oct 2026 | Nov 2026 | Dec 2026 |
|---|---|---|---|---|
| Jordan Lee | Project lead | 20% | 20% | 15% |
Your allocation request
Percent of each employee’s time spent on this project, by month.
Start with Alex’s allocation, then add another team member.
Review Project Allocations
Select a request to review.
Decision history
My contribution & engineering context +
I built the application around existing employee and project databases. The workflow supports saved drafts, monthly entries, manager notes, and revisiting declined requests. The original implementation uses Streamlit and Snowpark; this browser recreation demonstrates the workflow using fictional data.
Jira & Confluence
Access Review
Python · Atlassian API · CSV
Separate review for each product
Choose accounts, then simulate the final activity recheck. No real access changes occur.
View the collected report fields +
The supplied CSV informs this report’s structure. All values and identifiers are invented. Downloads include account status, membership, timestamps, product and group information.
How the workflow protects active access +
Jira and Confluence are evaluated independently. The script prepares review lists, rechecks activity, and removes the relevant product group membership. Alex’s synthetic record illustrates a user becoming active after the report, so the final recheck preserves access.
The described policy is seven months; the supplied script is configured to five. Both thresholds can be explored here. Missing timestamps are held for review in this recreation.
CITRAL Research
Presentation
R · R Markdown · UCSB CITRAL
Exploring how data science is represented in biology curricula. I wrote the R script and collaborated with Nate on the broader research project.
Presentation photographs are shown here; the slide deck has not yet been supplied.
CLAS Tutoring
Analytics
Power BI · Student service reporting
Report submitted for validation
Tutoring hours by course
Students by class standing
Fictional values only. The original work examines CLAS service use from 2024 onward. Actual report visuals can replace this illustration once a safe version is available.
A technical mindset.
An economic perspective.
I study Statistics and Data Science alongside Economics at UC Santa Barbara. I’m interested in the full path from collecting data to building a tool that someone can use.
My work spans internal applications, access-management automation, research, and analytics. I’m seeking Summer 2027 internships in data engineering, data analysis, and software engineering.
B.A. Economics
University of California, Santa Barbara
Data Systems Analyst Intern
UCSB ITS
Data Science Intern
UCSB CITRAL
Financial Aid Peer Advisor
UCSB Office of Financial Aid
Available for Summer 2027 internships.
Temiloluwa@ucsb.edu ↗