Luis Ochoa
@luisochoa
Data Analyst and healthcare automation specialist blending analytics, ML, and RPA.
What I'm looking for
I’m a Data Analyst and Biomedical Engineer with 18+ months of operations experience in U.S. Healthcare Revenue Cycle Management (RCM), combining analytics, ML, and RPA to cut manual effort and improve decision-making. As an IEEE 2025 author in applied machine learning (R2 0.989), I work in HIPAA-regulated environments with strict privacy and traceability controls.
At Healthprime, I designed and maintain Power BI dashboards on operational and HR KPIs, reducing manual reporting time by roughly 70–85%, and I automated recurring workflows with Microsoft Power Automate to free up ~16 hours/week of team effort. I also implemented Microsoft Copilot Studio solutions for streamlined administrative workflows, and I’ve led a team of 20 agents—tracking collection metrics in Power BI and driving a 25% improvement in production & QA scores. Currently, I’m deepening my skills in generative-AI agents and independently building an RCM analytics API with FastAPI and scikit-learn.
Experience
Work history, roles, and key accomplishments
HR Data Analyst
Healthprime
Nov 2025 - Present (8 months)
Designed and maintains Power BI dashboards for operational and HR KPIs in a U.S. RCM environment, reducing manual reporting time. Automated recurring workflows with Microsoft Power Automate and implemented Copilot Studio solutions to streamline administrative queries and reporting in a HIPAA-compliant environment.
Team Coach, Patient Responsibility A/R
Healthprime
Oct 2024 - Nov 2025 (1 year 1 month)
Led a team of 20 agents managing U.S. patient-responsibility collections in the RCM cycle. Built Power BI KPI tracking and automated management reports, and improved production & QA scores by 25% by identifying denial root causes.
Served U.S. customers in English for a digital-tech client with quality metrics consistently above 95%. Strengthened professional English communication in a U.S. corporate environment.
Biomedical Engineering Research Intern
Universidad Autónoma de Occidente
Jan 2022 - Oct 2023 (1 year 9 months)
Conducted research in bioelectrical impedance and neural-network models for non-invasive estimation of physiological variables. Completed an undergraduate-thesis study combining electrical-impedance measurement and neural-network modeling (including environmental variables) to predict internal pressure, achieving R² = 0.989 on held-out data.
Education
Degrees, certifications, and relevant coursework
Healthprime
HIPAA Training (annual recertification), Healthcare Data Privacy & Security (HIPAA)
2024 - 2026
Completed U.S. healthcare data privacy and security training (HIPAA) with annual recertification.
Universidad Autónoma de Occidente
Bachelor of Science in Biomedical Engineering, Biomedical Engineering
2018 - 2024
Grade: GPA 3.5/4.0 (U.S. scale)
Activities and societies: Undergraduate thesis on electrical-impedance measurement and a neural network for internal-pressure prediction in a forearm model (R2=0.989 on held-out data); work resulted in an IEEE LASCAS 2025 publication.
Earned a BSc in Biomedical Engineering at Universidad Autónoma de Occidente. GPA was 3.5/4.0 (U.S. scale).
British Council
IELTS Academic, English Language Proficiency
Grade: 7.5 (C1)
Achieved an IELTS Academic score corresponding to C1 level.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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