Data analyst

Data analyst
Resume examples

Resume Examples Objectives and summaries
Data analyst
Data analyst
Resume examples
Resume Examples Objectives and summaries

Data scientist

Experienced

Developed queries and performed extensive programming to access, transform, and prepare data for statistical modeling. Structured and translated requirements into an analytic approach.

  • Conducted deep-dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision-making.
  • Identified and diagnosed data inconsistencies and errors, documented data assumptions, and forages to fill data gaps.
  • Engaged with internal stakeholders to understand and probe business processes to develop hypotheses.
  • Guided test design, research design, and model validation.
  • Served as the analytics expert and statistical consultant to cross-functional teams for large strategic initiatives and contributed to the growth of the company’s analytic community.
  • Delivered insight presentations and action recommendations.
  • Communicated complex analytical findings and implications to business.

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Data scientist

Experienced

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.

  • Researched and implemented novel ML approaches, including hardware optimizations on platforms such as AWS Inferentia.
  • Worked with Professional Services consultants (Big Data, IoT, HPC) to analyze, extract, normalize, and label relevant data to operationalize customers’ models after they are prototyped.
  • Wrote and delivered data-driven presentations about technical concepts to business, technical, and lay audiences.

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