21Computer science resume examples found
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Developed queries and performed extensive programming to access, transform, and prepare data for statistical modeling. Structured and translated requirements into an analytic approach.
Oversaw data management services including data modeling, database, and analytics platform design, database performance and optimization, recovery/load strategy, and implementation for the university.
Worked in a Data and Systems Analysis (DSA) team collaborating with system engineers, data scientists, and machine learning specialists to develop fundamental product-facing and system-supporting architectures and tools to improve the surgeon experience, product adoption, and overall robotics architecture while connecting it to the hardware design.
Explored the fundamental issues in computing and developed theories, models and processes to address those issues. Assisted lead data scientists and engineers to solve complex analytical problems. Played an integral role in developing new computing languages to improve the way users interact with information.
Explored problems and developed solutions and computing models to address situations utilizing tools to collaborate with engineers. Developed new programming languages to develop new software that improved financial processes within a multi-million dollar healthcare agency.
Internalized business objectives and built models, action plans, and reporting frameworks to track progress. Analyzed and resolved business glitches by matching them with the most appropriate machine learning algorithm.
Delivered ML project to customers from conception to completion by overseeing business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models with concept-drift monitoring and retraining. Utilized AWS AI services (Personalize), ML platforms (SageMaker), and frameworks MXNet, TensorFlow, PyTorch, SparkML, scikit-learn) to help customers build ML models.
Developed and implemented innovative IT solutions through modeling processes and made network improvements and reliability. Utilized a variety of new technologies for computer science research in collaboration with sponsors and business partners to receive additional development funding.
Responsible for collecting data through various means to analyze business results and successes to set up and oversee new studies. Created experimental frameworks to collect data and streamline reporting processes to facilitate decision-making among key stakeholders.
Designed and conducted experiments to evaluate the operation and effectiveness of software systems, machine learning, and data science techniques under the guidance of lead computer scientists. Experienced presenting individual and group research studies and reports at national conferences.
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