I am a versatile data professional skilled in human factors, statistics, machine learning, data pipelines, software engineering and computer science. With a background spanning industry and academia, I bring a diverse set of skills to data science and software engineering.
As a platform engineer, I specialize in backend data, APIs, payment processing, product access entitlement, and information systems. I have expertise in data pipelines, data science, ML Ops, and cloud computing. Leveraging tools like the Serverless framework, AWS, CI/CD, and Terraform, I design scalable and cost-effective solutions. My ability to deliver high-quality, production-ready code and collaborate with cross-functional teams ensures successful project outcomes.
In my data science roles, I developed machine learning algorithms to analyze patient behavior and monitor product performance. I also built custom Python packages for data access and processing, and implemented CI/CD pipelines to streamline workflows. Proficient in machine learning, object-oriented programming, data analysis, statistics, and Python, I drive actionable insights and support strategic decision-making.
With a background in cognitive neuroscience, human factors, and experimental design, I offer a unique perspective on understanding user behavior. My experience in developing experiments to examine human behavior and perception equips me with the ability to quantify, model, interpret, and understand user behavior effectively.
My technical skills encompass various programming languages, platform architecture, statistical analysis, machine learning, and experimental design. I am passionate about leveraging data to solve complex problems, I thrive in collaborative environments, and seek impactful projects that push the boundaries of data science and backend engineering.