Jessica Claire
, , 100 Montgomery St. 10th Floor (555) 432-1000,
Professional Summary

Analytics graduate with a successful professional experience of 3 years at various organizations mainly centered around data capture, manipulation, analysis, visualization, and delivering conclusions to help draw data-driven decisions. Precocious Data Analyst ready to accept increasingly complex challenges associated with maintaining and exploiting growing data stores.

  • Statistical analysis
  • Machine learning
  • Microsoft SQL Server, MySQL
  • Data Mining
  • Analytical skills
  • Big data mining
  • Big data analytics
  • Python, R
  • SAS
  • Tableau, PowerBi, Gephi
  • Google Analytics
  • S3, Redshift
Work History
01/2021 to 05/2021 Data Science Intern Amita Health | Manhattan, KS,
  • Applied inferential statistical techniques to interpret key points from gathered data.
  • Leveraged Spectral clustering to help identify top clusters of Medical episodes associated with higher Eigenvalues.
  • Predicted treatments for particular procedure codes by deriving patterns through cluster analysis which boosted the preparedness of the hospital and witnessed an increase of patient satisfaction by 12% over a period of 6 months.
  • Established a means to identify insurance frauds using Graph based anomaly detection.
  • Created data visualization graphics, translating clusters and communities into comprehensive visual representations using Tableau and Gephi.

Technologies, Methodologies and Tools used: Python, Tableau, Gephi, R, Spectral clustering, Singlar value decomposition, Principal component analysis, Graph analytics, Data mining, Microsoft Excel, SQL server management, Jupyter notebook.

07/2018 to 12/2019 Software Developer Panjiva | Virtual, OR,
  • Full-time employee at NCR Digital Insight handling the digital banking platforms of more than 15,000+ banks, Financial institutes and credit unions.
  • Assisted in business acquisition efforts of more than 1200 FIs/CUs by designing digitalized banking solutions to potential customers.
  • Translated verbal customer requirements into written use cases and testable development stories using JIRA and ServiceNow to communicate with business analysts and software engineers.
  • Collaborated on all stages of systems development lifecycle from requirement gathering to production releases for 760 FIs/CUs
  • Directly impacted 1mn+ end-users by implementing Zelle transfers for several clients.
  • Designed all test-cases and automated Unit testing across all interfaces using scripting languages which slashed the manual hours by 15% per week.
  • Minimized human errors by implementing automated regression testing using Bash scripting.
  • Assisted in the migration project of Interfaces code from C++ to Java. I was specifically designated to work with the re-engineering of products at the business level.
  • Successfully reduced manual errors by 40% in log collection by designing and implementing an automated Log Extraction Tool.
  • Assigned as Subject Matter Expert (SME) for 3000+ FIs/CUs responsible to handle client relations and resolving complex issues on each of them.
  • Provided RCA (root-cause-analysis) on priority issues as the primary point of contact for all interfaces.
  • Documented technical workflows and knowledge in Confluence for the reference of newly hired employees.

Technologies, methodologies, and tools used: C++, Java, Bash Scripting, JIRA, ServiceNow, Confluence, SQL, Scrum methodology, Jenkins.

01/2017 to 07/2017 Data Analyst Intern Great American Insurance Group | Bellevue, WA,
  • Handled 1 million+ records of live data streaming from hospitals around the state each day using Spark streaming
  • Identified and derived the key features from unformatted data by converting from HDFS to RDBMS using Hbase and MySQL.
  • Utilized various professional statistical techniques and maintained large databases using Hive to collect and analyze data from customers.
  • Identified, analyzed and interpreted trends or patterns in data by finding correlations and visualizing using graphs.
  • Predicted the inflow of patients and their potential treatment procedures from historical data with an accuracy of around 82%.
  • Built tableau dashboards to help visualize the results to clients.

Technologies, Methodologies and Tools used: Hadoop, Hive, Hbase, MySQL, Tableau, Spark streaming, SAS.

Expected in 05/2021 Master of Science | Business Analytics University of Illinois At Chicago, Chicago, IL GPA:
Expected in 05/2018 Bachelor of Science | Computer Science Gandhi Institute of Technology And Management, India, GPA:

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School Attended

  • University of Illinois At Chicago
  • Gandhi Institute of Technology And Management

Job Titles Held:

  • Data Science Intern
  • Software Developer
  • Data Analyst Intern


  • Master of Science
  • Bachelor of Science

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