Data Science Analyst Resume
Summary : As a Data Science Analyst, responsible for Performing NGS related data analysis to support M2Gen/ORIEN projects; utilizing, demonstrating, and developing analytics and visualization tools like Qlikview to query, analyze, and interpret ORIEN Avatar genetic and genomic data, clinical data; and also performing data QA/QC using Avatar informatics portal.
Skills : Data Analysis, Programming Languages.
Description :
- Tracked record of operating independently, demonstrating creativity, being detail-oriented, and delivering results in a highly organized manner.
- Aided in the design of various experiments, formulation, and discovery of various hypotheses, as well as the training and scoring of existing and potential models.
- Documented projects including business objectives, data gathering and processing, detailed set of results, and analytical metrics.
- Analyzed data at a large scale using distributed computing tools such as Hadoop, Hive, and Spark.
- Identified Innovative approaches to using data in support of business growth.
- Adepted at performing basic statistical analysis, such as calculating statistical significance, and distributions.
- Collected feedback about the informatics portal and worked with the development team on continued product development.
Experience
10+ Years
Level
Senior
Education
Bachelor's Degree In Data Science
Data Science Analyst Resume
Summary : As a Data Science Analyst, Demonstrated advanced level proficiency with the principles and methodologies of process improvement; applied these in the execution of responsibilities in support of a process-focused approach; and shared development and process knowledge with other analysts in order to ensure redundancy and continuous builds a core of analytical strength within the organization.
Skills : Communication, Problem- Solving, SQL, Python, R.
Description :
- Served as the ORIEN member's go-to person for questions related to the ORIEN Avatar data and Informatics portal.
- Defined financial and analytic metrics to measure development and production outcomes and produce performance reports.
- Contributed to project planning and management; and also supported sales and marketing efforts with sound statistical and financial analysis.
- Networked with senior internal and external personnel in my own area of expertise.
- Regularly engaged with the data science community and participated in cross-functional working groups.
- Interpreted and communicated insights and findings from analysis and experiments to product, service, and business managers.
- Translated quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.
Experience
7-10 Years
Level
Management
Education
Bachelor's Degree In Mathematics
Data Science Analyst Resume
Headline : As a Data Science Analyst, Worked closely with business analysts and senior managers to identify business requirements and explain expected outcomes; modeled business scenarios that impact critical business processes and/or decisions; Integrated and prepared large datasets; and collaborated with the data governance team to ensure that data use follows compliance, information security, and control policies; provided business metrics to help monitor the performance of ongoing business functions.
Skills : Data Analysis, Programming Languages.
Description :
- Supported C360 Datamart enhancement and maintenance; monitored and enhanced the performance and effectiveness of existing models in production.
- Managed BI solution development and implementation for various MI reporting using Power BI; delivered insights from the data visualization process from a customer-centric approach.
- Worked on Data Science projects with different stakeholders to expand the data science discipline into the business application spectrum.
- Designed and tested predictive models to inform business decisions; and provided expertise in mathematical concepts supporting the development of analytical models.
- Collaborated with a multidisciplinary team of data stewards, IT analysts, model validation analysts, business analysts, and senior managers.
- Documented the processes and procedures utilized to create datasets, and build and test analytical models.
- Clearly communicated rationale and findings in easy-to-understand terms.
Experience
5-7 Years
Level
Executive
Education
Bachelor's Degree In Mathematics
Data Science Analyst Resume
Objective : As a Data Science Analyst, responsible for Facilitating the implementation of work product and ensuring accuracy; consistently following standard work processes and documentation requirements; recommending improvement to work processes to increase efficiency while maintaining quality of work; and also continuously improving technical and leadership skills through training and development.
Skills : Communication, Problem-Solving, SQL, Python, R.
Description :
- Developed advanced analytics solutions including customer segmentation, optimization, test & design of experiments, and prescriptive analytics to solve business problems.
- Operated as a subject matter expert on statistical analysis, test and design of experiments, analysis methodology, modeling & application, and financial impact analysis.
- Managed multiple priorities, and communicated business performance and project progress to management & business partners.
- Conducted usability research studies; and socialized concepts and ideas to extended stakeholders.
- Designed experiments, tested hypotheses, and built models to improve performance and manage risk.
- Forecasted organization-wide initiatives using predictive modeling and data visualization.
- Advised on marketing performance optimization and strategic evolution through analytical support.
Experience
2-5 Years
Level
Executive
Education
Bachelor's Degree In Mathematics
Data Science Analyst Resume
Summary : As a Data Science Analyst, responsible for researching additional tech tools aimed at developing innovative data usage strategies; and keeping abreast of the latest tools, trends, and technologies in data science to boost team and personal effectiveness.
Skills : Data Visualization, Machine Learning, Statistical Analysis.
Description :
- Created reports and dashboards to closely monitor performance metrics and provide insights.
- Streamlined large data set collection with automated processes.
- Enhanced database optimization using the latest industry tools and technologies.
- Forecasted future growth and profitability strategies through historical analysis and industry trend forecasting.
- Scrutinized both structured and unstructured data in large volumes; and developed innovative analytics solutions for the EMS division using a mix of tools, statistics, and machine learning.
- Assessed client data trends and patterns using various analysis algorithms; and communicated insights and recommendations using diverse visualization techniques to both internal and external stakeholders.
- Collaborated with team members to craft data utilization strategies, and emerged business problems.
Experience
7-10 Years
Level
Management
Education
Bachelor's In Computer Science
Data Science Analyst Resume
Headline : As a Data Science Analyst, responsible for Working collaboratively as a Data Science Analyst with advanced analytics expertise as a part of CGRs Data Science Team; building client capacity to use data to solve complex problems in challenging environments and generating operational efficiencies within CGR; and participating in requirements gathering and analysis, process and systems definition, data analysis, presentation of analysis to clients, and development of algorithm-driven products and solutions.
Skills : Data Cleaning, Database Management, Hadoop, and Spark.
Description :
- Advised on marketing plans prepared by a sales team or developing and/or contributing information for marketing materials.
- KPI reported and monitored; this includes anomaly detection tools and advanced measurement approaches.
- Used and developed our in-house automated tools; for instance, we have created a QA tool to better understand the performance of our new algorithms before A/B testing them.
- Ran open-ended exploratory data analysis to identify new ideas and opportunities.
- Designed and ran A/B tests of our latest recommendations algorithms.
- Proactively monitored our recommendation models to identify potential issues, determine root causes, and resolve them.
- Worked closely with the Lead Data Science Librarian to build and maintain the MAP, assess metadata quality, and plan and coordinate metadata enhancement and remediation.
Experience
5-7 Years
Level
Executive
Education
Bachelor's In Computer Science
Data Science Analyst Resume
Headline : As a Data Science Analyst, responsible for Providing technical support to data analytics functions as they relate to varied business units, and technical expertise on the selection, development, and implementation of various reporting and BI tools tied to business unit reporting requirements; creating new BI reports and interactive dashboards as required; preparing clear, well-organized project-specific documentation, including, at a minimum, analytic methods used, key decision points and caveats, with sufficient detail to support comprehension and replication.
Skills : Big Data Technologies, Business Acumen.
Description :
- Analyzed data requests using information technology, enrollment, claims, pharmacy, clinical, contract, medical management, financial, administrative, and other corporate data from both modeled and disparate internal and external sources.
- Acted as liaison/analyst for internal stakeholders, understood their needs, and translated them into reporting and analytic solutions.
- Effectively communicate with stakeholders and customers and ensure all requests are properly triaged, recorded, and tracked.
- Adhered to corporate standards for performance metrics, data collection, data integrity, query design, and reporting format to ensure high-quality, meaningful analytic output.
- Helped identify and understand data from internal and external sources for competitive, scenario, and performance analyses, and financial modeling to gain member/provider insight into new and existing processes and business opportunities.
- Developed and maintained project work plans, including critical tasks, milestones, timelines, interdependencies, and contingencies.
- Tracked and reported progress; and also kept stakeholders apprised of project status and implications for completion.
Experience
5-7 Years
Level
Executive
Education
Bachelor's In Computer Science
Data Science Analyst Resume
Summary : As a Data Science Analyst, Collaborated with cross-functional partners to understand their business needs, and formulated and completed an end-to-end analysis that included data gathering, analysis, ongoing scaled deliverables, and presentations.
Skills : Communication, Problem- Solving, SQL, Python, R.
Description :
- Designed, ran, and analyzed the results of A/B tests of new recommendation algorithms and strategies; we also developed new testing and test analysis methodologies.
- Delivered effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.
- Established and maintained effective performance tracking; identified improvement opportunities, formed hypotheses, proposed, designed, and implemented tests to drive strategy enhancement and optimization.
- Developed and automated reports, iteratively built and prototyped dashboards to provide insights at scale, solving for analytical needs; facilitated implementation of work product and ensured accuracy.
- Consistently followed standard work processes and documentation requirements; recommended improvement to work processes to increase efficiency while maintaining quality of work.
- Continuously improved technical and leadership skills through training and development.
- Executed ad-hoc analyses to meet the fast-changing market demands.
Experience
7-10 Years
Level
Management
Education
Bachelor's In Computer Science
Data Science Analyst Resume
Headline : As a Data Science Analyst, responsible for Determining/monitoring MAP accuracy by conducting queries against data holdings in native systems and using the System User Interface (UI), API, and Solr UI; supporting Systems Engineers and Software Developers by creating design documents for new Data Stores which identify the metadata fields, service specifications, volumetrics, and standards needed to integrate into the Search and Discovery System.
Skills : Business Acumen, Communication, Problem- Solving, SQL, Python, R.
Description :
- Built new tools that allow us to be more productive and efficient; worked closely and built productive relationships with our product, engineering, and machine learning stakeholders.
- Communicated key insights and recommendations to cross-functional executive leaders across the organization.
- Collaborated and proactively communicated with stakeholders.
- Tracked record of taking ownership and driving results.
- Acted as a liaison between IT development groups and business units for the development and implementation of new systems and the enhancement of current systems.
- Evaluated new applications, system requirements, developments in the field of expertise, and evolving business needs to recommend appropriate solutions and alternatives.
- Displayed core job competencies by analyzing possible solutions using standard procedures while developing advanced skills.
Experience
5-7 Years
Level
Executive
Education
Bachelor's Degree In Data Science
Data Science Analyst Resume
Objective : As a Data Science Analyst, responsible for Performing detailed analyses of large bodies of heterogeneous data in order to discover new patterns and insights that have an impact on patient health and augment human capabilities, may work with knowledge architects, informaticians, and clinicians at Mayo, and partner outside companies to develop and deploy applications to bring AI and analytic solutions to nontechnical users, often at the point of care.
Skills : Data Visualization, Machine Learning, Statistical Analysis.
Description :
- Investigated and responded to tickets/issues associated with metadata discrepancies or mapping.
- Participated in IT Work Intake to develop requirements and determine the level of effort for service requests.
- Sustained weekly, monthly, quarterly, and annual data submissions to the State and Federal Government.
- Collaborated with the HHS Solutions Team to evaluate, design, and implement reporting solutions.
- Performed analysis using City, State, Federal government, and community data to identify populations served and demand for services and programs.
- Designed and Developed Surveys to support 65 Human Services community programs in partnership with the State and non-government organizations (NGOs).
- Experienced with Microsoft Office 365 Suite (Word, Excel, PowerPoint, Access, Outlook); and experienced with SharePoint Online, Teams, or other peer file sharing and collaboration applications.
Experience
2-5 Years
Level
Junior
Education
Bachelor's In Computer Science
