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Fernando Retamales

@faretamalesc

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

United States

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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]

Experience

Data Lead, Health Expenditure

ACHS

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

AWS Data Analyst Data Analysis Data Quality Data Modeling Data Engineer Data Pipeline Data Analytics Data Infrastructure Data Governance Data Automation Data Warehouse Data Lake Big Data Google Cloud

Data Analyst Senior, Patient Experience

ACHS

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

Dataflow Agile DevOps Big Data Data Lake Data Design Data Science Data Analyst Data Analysis Data Quality Data Analytics Data Visualization Google Cloud Storage Visual Studio Business Analysis Statistical Analysis Time Series Analysis Quantitative Analysis

Healthcare Data Analyst II

ACHS

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