FOBUSINESS ANALYST

Established professional reentering the workforce

I am Franklin Obioma, returning to work after a career break and ready to apply my prior experience to new challenges.

Work samples

A concise collection of past projects and roles that reflect my experience before the break and what I can contribute going forward.

  • CLINICAL DATA SCIENCE PROJECT | Multimodal Fusion of Clinical Data for Suicide Risk Stratification
    CLINICAL DATA SCIENCE PROJECT | Multimodal Fusion of Clinical Data for Suicide Risk Stratification

    Master’s capstone | De-identified EHR and clinical-note data • Built a machine-learning pipeline using structured EHR data and unstructured clinical notes to predict 90-day suicide risk; applied temporal train-test splits and evaluated predictive performance. • Prepared analytical outputs to support interpretation of risk patterns and communicate potential operational value for behavioral health workflows.

About me

I am Franklin Obioma, returning to work after a career break and ready to apply my prior experience to new challenges.

I am Franklin Obioma, an established professional reentering the workforce after a career break. I bring experience from earlier stages of my career and a renewed focus on contributions I can make now.

Experience

Psychiatric Technician - Nights | Behavioral Science Campus

UNIVERSITY OF TEXAS HEALTH HOUSTON · July 2024–Present

BI Analyst

FOBMAN AUTOS & TRANSPORT INC · December 2020–May 2024

Business Analyst

MED-SOURCE HEALTH SERVICES INC · December 2017–December 2020

Procurement Lead

STERLING GLOBAL OPERATIONS · October 2014–September 2016

Contracts Analyst

ADDAX PETROLEUM · January 2012–August 2014

Education

Houston Christian University

Master of Science, Data Science · Class of 2026

Imo State University

Bachelor’s Degree, Chemistry

Simplilearn in partnership with Purdue University

Post Graduate Program in Data Analytics

Skills

Career reentryExperienced professional perspectiveAdaptability after break

CLINICAL DATA SCIENCE PROJECT | Multimodal Fusion of Clinical Data for Suicide Risk Stratification

Master’s capstone | De-identified EHR and clinical-note data • Built a machine-learning pipeline using structured EHR data and unstructured clinical notes to predict 90-day suicide risk; applied temporal train-test splits and evaluated predictive performance. • Prepared analytical outputs to support interpretation of risk patterns and communicate potential operational value for behavioral health workflows.

View all work

CLINICAL OUTCOMES ANALYSIS PROJECT | Analyzing Post-Surgical Complications and Risk Factors

Clinical outcomes analysis • Applied data mining, anomaly detection, and clustering to examine patient risk groups and factors associated with post-surgical complications; visualized recovery benchmarks and patient segments.

View all work