Fernando RetamalesFR
Looking for a job

Fernando Retamales


Data Analyst · Data Engineer · Data Scientist · Economist | Google Certified | 5 years of experience

United States

What I'm looking for

As an inquisitive data analyst, the new cloud development challenge is a interesting trend for me. My background as a Data Analyst –working with internal/external and private/public solutions to the healthcare network digitalization – thrives me for impactful companies that approach to these daily challenges while providing me valuable hands-on experience for a career in the social tech industry.

Economist with five years of experience in healthcare data analytics, translating operational problems into data-driven solutions
• Generated savings of up to 1,5 million USD/year, focusing on various cost efficiency initiatives.
• Reduced cost of coverage options by 15% for our patients in our primary healthcare providers
• Implemented ETL pipeline for health providers that uses metadata from payments and provides reports to an ERP tool, reducing the cash flow time by 30% after the initial six months rollout.
• Implemented a new care model in national healthcare network, being the leader of a project that helped reduce by 30% the primary care customer’s journey time while enforcing new behavioral techniques for physicians.
• Created and conducted the COVID-19 predictor project, a biometric app for likely infected patients, in alliance with Carnegie Mellon. After 6 months of iterating, the final platform was available to 70,000 affiliated firms.
• Selected as one of the organization’s 20 young leaders in 2018, part of the company’s young professional program.
Interested in Data Analytics, Economics, Social Impact, Healthcare and Management
Technical Skills : Python, SQL, ETL, Tableau, Looker, PowerBI, R, Google Cloud (BigQuery), AWS (Redshift), Apache Beam & Airflow, Spark, Hadoop, Matlab, SAP, Stata, Salesforce.
I'm always looking to grow my personal and professional network. Feel free to connect via LinkedIn or contact me directly at [email protected]



Data Lead, Health Expenditure


Sep 2021 - Sep 2022 (1 year)

• Led a team of 3 data analysts using agile/DevOps tools, with internal stakeholders’ processes feedback
• Reduced cost of coverage options by 15%, participating in cross-functional teams focusing on value-based and pricing strategies
• Implemented ETL pipeline for health providers reducing the cash flow time by 30%, loading payments and claims cleansed metadata and providing reports into ERP tool


Data Analyst Senior, Patient Experience


Oct 2019 - Aug 2021 (1 year 10 months)

• Designed a new care model that reduced by 30% the primary care customer’s journey time while enforcing new behavioral techniques for physicians to improve the patient’s qualitative experience
• Launched the COVID biometric predictor app, which boosted preventive testing efficiency by 60% and was available for 70,000 firms after 6 months testing. The predictor was elaborated with Carnegie Mellon


Healthcare Data Analyst II


Nov 2017 - Sep 2019 (1 year 10 months)

• Decreased operational healthcare expenses by 1.5 million USD/per year by conducting economic studies and implementing strategic plans along with McKinsey Co., with an agile focus
• Developed new database models and networks for performance control and health product analytics, which preceded the digital transformation era and took the organization to be ranked #1 in the healthcare sector

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