Fernando Cuevas
Data Scientist - AI / ML Engineer
Albany, California, United States
Professional Overview
Fernando Cuevas is an experienced Data Scientist and AI/ML Engineer focused on driving innovation and business impact through advanced analytics and cutting-edge technologies. With a diverse background spanning healthcare, technology, and social impact, he brings a unique blend of technical expertise and industry insights to his current role.
Experience Summary
Current Role
As a Data Scientist - AI / ML Engineer at Bahwan CyberTek, Fernando is responsible for developing and deploying complex machine learning models to solve critical business challenges. He leverages his strong background in data engineering, predictive analytics, and model deployment to deliver transformative solutions that drive measurable improvements in efficiency, risk mitigation, and strategic decision-making.
Career Progression
Prior to his current role, Fernando served as a Data Analyst/Scientist at DropThought, where he played a key part in building the company's data science capabilities and automating business-critical reporting. Earlier in his career, he held progressive data-focused positions at ACHS, including Data Lead for Health Expenditure and Senior Data Analyst for Patient Experience. These roles allowed him to hone his skills in healthcare data analysis, visualization, and insights generation.
Academic Background
Fernando holds a Bachelor of Science degree in Industrial Engineering from Pontificia Universidad Católica de Chile, where he graduated with distinction and completed a research-focused thesis project.
Areas of Expertise
- Expertise in machine learning, deep learning, and artificial intelligence techniques
- Proficient in Python, SQL, and data visualization tools (e.g., Tableau, Power BI)
- Strong background in data engineering, including data extraction, transformation, and modeling
- Skilled in deploying and monitoring scalable, production-ready ML models
- Experience in cross-functional collaboration and driving data-driven decision-making
- Proven leadership in driving impactful data science projects and initiatives
Professional Impact
- Developed and deployed a predictive maintenance model that reduced equipment downtime by 23% for a leading manufacturing client at Bahwan CyberTek
- Automated and streamlined reporting processes at DropThought, resulting in a 40% reduction in manual effort and a 25% improvement in data-driven insights
- Spearheaded a patient experience analysis project at ACHS that led to a 15% increase in patient satisfaction scores and a 12% reduction in patient complaints
Conclusion
With his extensive experience in data science, machine learning, and industry-specific problem-solving, Fernando Cuevas is poised to continue making significant contributions to the field of AI and data-driven innovation. His passion for leveraging technology to drive meaningful business and social impact makes him a valuable asset to any organization seeking to harness the power of data and advanced analytics.
