Proactive, intellectually curious and results-oriented professional team with experience in interpreting and analyzing data for driving business solutions. Proficient knowledge in statistics, mathematics, and analytics. Noted for establishing strategic mutually beneficial partnerships with key stakeholder to understand business needs, formulate solutions and thoroughly document processes.
Developed SQL database queries to assist Product Managers express data health to customers of Qualtrics Inc. and Vizient Inc. Investigated missing discharge dates wthin clients data, ensuring customer’s data met CMS guidelines and notified when not. Used Google Sheets to create data visualization of customer’s data submission results, trending each hospitals relevant data points over time. Allevieated engineering hours by taking over and automating repetitive manual reports. Provided Project Team with data ingestion, data cleaning, quality assurance, transformation, submission, and retention within AWS S3 Buckets. Completed daily, weekly, and monthly QA checks ensuring customer product health was OK. Overhauled the pre-data submission QA process which greatly reduced manual file prep work in completing deadline critical manual checks. Closed approx. 40+ Multi Priority Level Support tickers for TAMs, CX Implementation, and Engineering team monthly. Documented proceesses for the team’s most critical processes within Coda Project Management Software, assisting future onboarding process. Collaborated with the Data Science team to further research improvements to clients data within the Qualtrics XM platform. Built data pipelines from the SFTP, Google Drive, and AWS to external Qualtrics Dashboards, enhancing customer experience. Participated in weekly calls with the Data Integrity Team, Project Managers, and Engineering as well as company wide celebratorty meetings. Reported data errors to customers and implemented fixes where necessary using JIRA for tracking. Created abstract Excel, Google Sheets, and SPSS tools to address manual data transformation tasks, especially for the function of “copy/paste”.
Operations Business Support Role for Traded Products and Assets for Sale (TPD) Authorized Provisioning Point (APP), accessing specific datasets. across all data zones in the user acceptance (UAT) and production environments within the enterprise Data Lake. Monitored and triaging issues through proper channels, with access to raw, sanitized, conformed, and curated zones within the Data Lake. Responsible for implementing enterprise data governance policies for core enterprise data moving to an enterprise data lake. Subject matter expert (SME) for Deposits and Retail Lending, elicited business requirements for Enterprise Data Quality Management. Profiled databases on the Enterprise Data Lake (Hadoop) to create data quality rules in Ab Initio. Transitioned to three different teams over two years as needed: eDQM Data Analysts, Data Defect Management Analyst, Consumer & Channel Business Data Leader Team Analyst.
Monitor Defect Ticketing Module, Produce Weekly Application Reporting Packages, Facilitate refular application partnet Defect Remediation Meetins, Escalation, Facilitate monthly GAP Forum Meeting, Provide Report Owners with defects/gaps associated with refulatory and/or risk data elements, produce monthly data quality dashboards for Data Domain Council meetings. Triage New Defect Tickets, provide scalable tools and sustainable processes for end-to-end data quality measurement and monitoring in alignment with Enterprise Data Governance (EDG) policy, provide consistency im data quality implementation, monitoring and reporting, provide support to Application Business Owners, application operation owners and technology data managers to define rules and benchmarks, partnet with ABOs , Application Operation Owners, and technologyu data managers to identifyu data defects and drive remediation activities. Preventative Controls, Detective Controls, and Data Movement as well as Core Data and Data Quality Dimensions of Completeness, Accuracy, Consistency, Validity, Timeliness, Uniqueness. Data Defnition/DQ Standardization, Remediate SOR issues and determine required data, Modernized/streamlined data flows, new consumption models, next generation tools for data acess, issue identification, Data Governance best practice, determining needed information, all with goal to improve agility and useability, providing one answer, and trusted information, lowering multiple answers across reports, and data issues, conformed and curated data, distrubuted production data, reconciled JIRA tickets. Data Migration from EDL 1.0 to 2.0 of 24 System of Records and 15 consumers from the legacy EDL 1.0 platform. Cordinating with EY consultants in determing BDL responsibilities, classtifying Domain Point of Contacts, Interim Bucket Aligmnets, Final Bucket. Alginments, Business Comments, ABO approvals, Consumption Use cases, Remidation Plan descriptions, and target dates.
Conducted thorough analyses and business intelligence, produced new insights and identified opportunities to develop programs to optimize performance while producing new policies base on client requests and business needs. Critically evaluated various data sets and reports to identify systematic discrepancies. Assessed business processes, anticipated requirements, uncovered areas for improvement, and developed and implemented solutions base on client requests and business needs. Diligently designed policy presentations to illustrate forecasted revenue, expenses, and trends for providers. Identified changes to processes/systems in bringing increased value to clients. Functioned as a resource in the connection of data providers by establishing plans of action for each provider engagement, and aligning providers with current industry standards. Expanded and improved existing processes and created new ones in accordance with data governance best practices. Actively directed monthly meetings as part of efforts in driving operational efficiency and maximize client savings. Facilitated and collaborated workflow between onshore and offshore teams.
Actively involved with providing assistance and managerial support to accomplish overall medical center plans, goals and objectives through a wide range of substantive reviews, studies, and analyses of clinical and administrative programs and operations. Followed established guidelines for turnaround time and quality as defined in the Policy Inquiry Policy and Procedure Manual. Formulated opportunities for improvement in medical plan design, upheld provider billing trends and high-dollar claims in recommending new payment policies. Established complete policy analysis, including positives and negatives of alternative solutions, recommended solutions, and needed resources. Systematically implemented ad hoc reports projecting potential savings based on revamped modifications. Thoughtfully formulated health plan recommendations with medical doctor advisory team increasing provider savings. Conducted special projects and studies to analyze, evaluate, and provide recommendations on administrative programs or issues, and strengthened medical terminology knowledge to create approximately 300 Health Plan Policies for health plan providers. Reviewed narrative, data, and statistical information and supporting materials with regards to compliance with the standards of external bodies.
Successfully upgraded University’s Information Station with current software and resources for a student body of over 20,000. Ensured proper onboarding, training and effectively supervised operations of student staff while upholding and recommending departmental policies. Led all operational activity and allocation of resources across the Student Hire team to meet team deliverables and individual career goals. Organized workflow across the team on a daily basis by utilizing web applications and scheduling software for work schedules, ensuring full contingency plans are in place and key priorities are achieved. Conducted quarterly training with staff to review operational goals, set targets, administer awards to ensure consistency with key performance objectives. Diligently coordinated VIP events with management team ensuring guest speakers were accommodated adequately Championed data collection by conducting various surveys of students' body for information display recommendations.
Biology, B.S.
Able to query varying databases including but not limited to AWS, Google Cloud, Microsoft Azure, Hadoop, MySQL, MongoDB.
Utlized this programming language to script repetitive tasks, alleviating manual load.
Familiar with this from the two data certifications listed above. Not frequently used but can be helpful in certain situations.
Designed multiple visualizations over the years with Microsoft Excel, Power BI, Tableu, Google Sheets, and more.