Oluchi Nwosu Randolph, Ph.D.
Oluchi Nwosu Randolph, Ph.D.
Data & Research Scientist
Social Science + Data Science + Human-Centered Design
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Data Science Projects - Overview
Data Science Projects - Overview
Client: NA
Goal: Identify features that predict life satisfaction ratings
Impact: Identify a way to examine factors that influence satisfaction that can later extend to investigating issues of retention and turnover/churn/attrition
Turnaround: 3 weeks
Programming Language: Python
Analytical Methods: Descriptive analytics, logistic regression, tree-based models, UMAP dimensionality reduction
Tools: Jupyter notebook, pandas, numpy, scipy, matplotlib, seaborn, plotly, sklearn, umap, ipywidgets
My roles: Independent project - end-to-end project ownership; decided on topic; proposed data questions; retrieved and cleaned data; designed analytical approach and methodology; performed analyses; presented findings
Client: NA
Goal: Build a Shiny App
Impact: Create an interactive dashboard that tells a data story
Turnaround: 2.5 weeks
Programming Language: R
Analytical Methods: Descriptive analytics
Tools: RStudio, Shiny, tidycensus, tidyverse, plotly
My roles: Independent project - end-to-end project ownership; decided on topic; proposed data questions; retrieved and cleaned data; designed methodology; built and designed Shiny app; retrieved and synthesized outside information for context; presented findings
Client: Healthcare Bluebook
Goals:
Build a profile of healthcare providers and the hospitals that they typically refer their patients to in Nashville, TN
Identify communities of healthcare providers and facilities in the Nashville/Davidson County CBSA
Impact: Determine Vanderbilt Hospital's current market share when it comes to referrals from various provider specialties, and advise on which providers the hospital should attract to increase revenue
Turnaround: 2 weeks
Programming Languages: SQL, Python, Cypher
Analytical Methods: Descriptive analytics, graphical network analysis
Tools: PostgreSQL, Jupyter notebook, pandas, numpy, sqlite3, plotly, Neo4j
My roles: Collaborative project - met with the client to understand their business needs; retrieved data using SQL; cleaned data in python; visualized findings; outlined project narrative; presented findings
Client: People3
Goal: Using R Shiny, build an interactive dashboard for People3 that helps their clients see how their employee makeup compares to the broader demographics of their geographic region
Impact: Illumine areas where outreach or improved diversification efforts could be beneficial
Turnaround: 3.5 weeks
Programming Language: R
Analytical Methods: Descriptive analytics
Tools: RStudio, Shiny, tidycensus, tidyverse, plotly
My roles: Collaborative project - met with the client to understand their business needs; retrieved data using tidycensus; cleaned and performed descriptive analyses on race and ethnicity data; visualized findings; designed dashboard layout and colors with company branding in mind; presented findings
Client: Tennessee Earthquake Preparedness Group (Simulated Client)
Goal:
Explore factors that may indicate higher likelihoods of and damage caused by earthquakes
Examine the history of earthquakes in TN to determine which areas have been most affected by seismic activity in the Eastern and Western fault zones
Impact: Provide post-earthquake resource allocation recommendations based on risk assessments for 4 major cities in TN
Turnaround: 2 weeks
Programming Language: Python
Analytical Methods: Descriptive analytics, geospatial analysis
Tools: Jupyter notebook, pandas, numpy, requests, beautiful soup, re, bokeh, folium, geopandas, matplotlib, seaborn
My roles: Collaborative project (team lead) - met with a mock client to understand their business needs; retrieved data via web scraping; cleaned data using regular expressions; defined and operationalized our risk assessment metrics; visualized findings; presented recommendations to our client
Experience Research Projects - Overview
Experience Research Projects - Overview
Client: National Science Foundation's Alliances for Graduate Education and the Professoriate (AGEP) Program
Goal: Understand how identities and professional development experiences influence the career motivations of science, technology, engineering, and mathematics (STEM) postdoctoral trainees over time
Impact: Gain insight into issues that can be addressed through interventions designed to potentially curb the attrition of women and underrepresented minorities from STEM faculty careers
Duration: Approximately 4 years
Research Methods: Literature reviews, cross-sectional and longitudinal web-based surveys, in-person and phone interviews, focus group interviews
Analytical Approaches: Descriptive analytics, t-tests, chi-square analyses, regression analyses, content analyses
Tools: Qualtrics, SAS, Atlas.ti
My roles: Collaborative project - conducted literature reviews; retrieved and created survey items for survey development; kept the project's IRB application status current each year; managed study recruitment and participant gift cards; recruited schools to distribute the survey to participants; piloted the survey; cleaned, recoded, and prepared data for analysis; conducted quantitative analyses; scheduled and conducted in-person and phone interviews; conducted focus group interviews; conducted qualitative analyses; suggested collaborative paper topics; wrote and edited papers for peer-reviewed publications; translated findings into infographics; presented findings at conferences and symposiums
Client: NA
Goal: Conduct exploratory ethnographic research to understand the worldviews, resources, and challenges that Black refugee youth and their families navigate as they resettle in the U.S.
Impact: Use findings to design curricula and programs to support the social and educational success of Black immigrant and refugee children in U.S. schools
Duration: Approximately 2.5 years
Research Methods: Literature reviews, participant observation/field research, interviews, narrative inquiry, artifact analysis
Analytical Approaches: Narrative analysis, content analysis
My roles: Independent project - end-to-end project ownership; proposed project topic and research questions; conducted literature reviews; kept the project's IRB application status current each year; recruited participants (teachers and administrators, students, and parents); managed study compensation for participants; worked alongside a translator when necessary to conduct interviews; cultivated relationships with administrators at multiple sites to gain access to school and resettlement program sites for fieldwork; scheduled and conducted interviews with teachers, parents, and students; obtained informed consent and assent for study participation; organized field notes, artifacts, and interview recordings for analysis; transcribed and analyzed interview recordings by hand; conducted qualitative analyses; wrote and edited papers for peer-reviewed publications; presented findings at conferences
Get in touch at ocnrando@gmail.com
Get in touch at ocnrando@gmail.com
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