Summary
Overview
Work History
Education
Skills
Websites
Accomplishments
Interests
Timeline
Generic

Wanjiru Kihara

Plano

Summary

I started as a CNA, holding patients hands and watching brilliant nurses burn out on paperwork. So, I got my MS in Analytics to fix the systems, not just the symptoms. Now I’m the person who sits between the clinical team and the data – I speak both languages. At Baylor, I use Epic data to cut patient intake delays by 15% and gave nurses 4 hours of their week. I’m looking for a Healthcare Analyst role where I can keep solving problems that actually matter to patients and the people who care for them

Overview

6
6
years of professional experience

Work History

Clinical Data Analyst

Baylor Scott & White Rehabilitation
Dallas, TX
01.2024 - Current
  • Supported rehabilitation operations by ensuring data accuracy, analyzing workflow performance, and identifying opportunities to improve patient access and documentation efficiency.
  • Caught and corrected scheduling errors in Epic before they ever reached patients- Maintained 99% data accuracy across 500+ daily schedules, while ensuring HIPAA compliance. My audits meant 50+ clinicians had accurate patient lists when they walked in each morning, no last-minute scrambling.
  • Sat down with nurses, listened to their frustration about intake delay, then dug into a 1,200+ records to find the real problem. Identified 3 root causes nobody had spotted, worked with leadership to fix them, and cut intake delays by 15% - which meant 45 minutes less waiting for patients and got nurses 4 hours of their week back from duplicate data entry alone.
  • Created documentation templates that 25+ nurses wanted to use (because I asked them what they needed first). Reporting consistency jumped from 78% to 94%, giving leadership accurate census data for staffing decisions and supporting our unit’s quality measures.
  • Presented findings to Nursing Director showing that duplicate data entry was stealing 20% of nurse’s time. She greenlit workflow changes that saved the team 4 hours weekly – time they spent back with patients instead if screens.

E-Commerce Inventory Planner (Operations Analytics & Inventory Strategy)

Broash LLC
Raleigh, NC
05.2020 - 08.2023
  • Used SQL and Excel to forecast demand across 500+SKUs – the same analytical muscles I’d later apply to hospital supply chain questions like why a rehab unit runs out of certain supplies mid-month.
  • Built dashboards tracking inventory turnover and demand patterns that reduced stockouts by 23%. Showed me how real time monitoring could work in a clinical setting, whether its PPE during a surge or flu vaccines in October.
  • Cut excess inventory costs by 18% (120K annual savings) through demand forecasting – skills I’m ready to apply to medical supply optimization and pharmacy inventory management.

Education

MS Business Analytics - Cybersecurity

Texas A&M University
Commerce, TX
12-2025

Master of Business Administration - undefined

Africa Nazarene University

Skills

  • TECHNICAL SKILLS
  • SQL: (Data Querying, Data Preparation, Operational Analysis)
  • Tableau: Interactive Dashboard & Data Storytelling
  • Excel: Pivot Tables, Data Modeling, Trend Analysis
  • ANALYTICAL SKILLS
  • Operational Performance Analysis
  • Root Cause Analysis
  • KPI Reporting & Performance Metrics
  • BUSINESS & DOMAIN SKILLS
  • Patient Flow & Service Utilization Analysis
  • Healthcare Operations Analytics
  • Process Improvement & Workflow Optimization
  • Cross- Functional Collaboration

Websites

Accomplishments

Hospital Patient Flow Analysis | SQL, Tableau, Excel

· Dug into 18 months of admissions data across 6 hospital units after a nurse manager mentioned weekends felt “chaotic”. Found weekend admissions had a 27% longer length of stay and 34% readmission rates – likely because staffing and discharge protocols looked the same as weekdays. The findings were presented to unit managers who adjusted weekend staffing as a result.

· Mapped patient movement from admission to discharge and spotted a bottleneck nobody had quantified. 2-4PM admissions were causing a 40% backup in the ED because beds weren’t turning over fast enough. Nurse managers used this insight to adjust discharge timing, saving 2.3 hours off average discharge time

· Built a Tableau dashboard tracking real-time bed occupancy, patient volume, and bottlenecks that leadership pulled up during peak flu season to make capacity decisions. The kind of tool that helps answer “do we open another unit, or can we move patients through faster?”.

Interests

Healthcare Data Quality & Operational Reporting

SQL, Tableau, Excel Independent Project

Cleaned and restructured 50,000 patients records using where inconsistent data entry had made it impossible to track reliable length-of-stay metrics Standardized date formats, corrected unit misclassifications and built validation rules – the essential work that makes operational reporting trustworthy

Analyzed documentation patterns and found that 20% of records had duplicate or missing data elements that were skewing census forecast Created a data quality dashboard for clinical leadership to monitor these issues in real time

Presented findings to leadership demonstrating how poor data entry at admission ripples through to inaccurate staffing decisions, billing delays, and quality reporting errors Now I catch those patterns before they cause problems

Timeline

Clinical Data Analyst

Baylor Scott & White Rehabilitation
01.2024 - Current

E-Commerce Inventory Planner (Operations Analytics & Inventory Strategy)

Broash LLC
05.2020 - 08.2023

Master of Business Administration - undefined

Africa Nazarene University

MS Business Analytics - Cybersecurity

Texas A&M University

Similar Profiles

CREATE PROFILE