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

Detail-oriented Data Analyst having a master’s degree in Data Analytics with progressive experience in analytics, data modelling, process improvement, machine learning, and developing data products. A strong team player with a great sense of responsibility who was rewarded for increasing the Customer Satisfaction Score of a project.

Work History
Data Analyst, 01/2021 to Current
Lewis PrSan Francisco, CA,
  • Discovered COVID-19 impact on network performance with data-driven analysis (Python, MySQL, MS Excel, Tableau) & recommended 10 Broadband Servers for the deployment to handle network traffic to facilitate a 47% increase in speed tests based on 9.3 million records. Forecasted the servers to be increased to 26 by the end of the year 2022.
  • Lead the Maintenance/Planning team to perform data analysis on the network speed testing results to provide efficient test procedures which helped Verizon’s viable business successfully defended itself against SamKnow’s lawsuit with FCC.
  • Significantly improved office working efficiency by automated testing jobs, logs to CSV conversion with Python Scripts.
  • Built data pipelines to sync data from the production database (SQL), developed customized OSS Analytics dashboard with Dash (Plotly), Flask fed with live data to troubleshoot the network performance & design next-generation products.
  • Working closely with management team to improve ‘Verizon’s smart display device’ to manage customer issues better & enhance the customer experience with the product while using Verizon services.
Research Data Analyst, 01/2019 to 05/2020
Avera HealthFlandreau, SD,
  • Lead a data science research study, evaluated algorithm to optimize the performance of Machine Learning algorithms on adversaries & improved accuracy to compute the exploitation & performance degradation in adversarial scenarios. Collaborated with teams, concluded training document & presented in-depth analysis report to support the Hypothesis.
  • Designed algorithm to optimize the performance of Convolutional Neural Network on adversaries & improved accuracy to compute how the Machine Learning algorithms are exploited to hamper the performance in adversarial scenarios by presenting in-depth analysis reports to support the Hypothesis & prepared the whitepapers based on the findings.
    Provided marketing reports, insights & supported strategic goals, processed Data to help increase graduate admissions.
  • Assisting the Professor, conduct and teaching labs, help prepare a class lecture, grade assignments and marking a student ‘s attendance for Cyber Security Engineering, Introduction to Computing, System Analysis and Design courses
    Mentored the students, clarified queries asked by students regarding the topics discussed in class and providing one to one problem-solving and evaluation of examination.
Business Intelligence Consultant, 12/2014 to 06/2018
Verizon CommunicationsLincolnwood, IL,
  • Optimized database & table to maximize performance for the Agile project to manage billing requirements of Humana.
  • Initiated improvement on data quality, corrected 10% of rows within 5 BI dashboards by manipulating the Pivot tables.
  • Built SQL objects & normalized data through SQL querying that improved services & reduced manual efforts by 60%.
  • Automated monthly BI reporting, created flow-based implementation used for connecting/querying internal data source to pull data dumps for reporting with Power BI which reduced data errors by 80% & processing time by 1.5 days.
  • Participated in all phases of the projects, spearheaded requirement gathering & translated it into analytical insights.
  • Validated user stories, developed the prototype of BI dashboard by mock-ups & Proof-of-Concept for KPI trend analysis.
  • Worked closely senior managers to understand business strategy & data requirements to create test plan & scenarios.
Additional Information


  • LinkedIn
  • GitHub
  • Portfolio
  • Machine Learning (Linear & Logistic Regression, Random Forest, KNN, SVM, XGBoost, Decision Tree, Clustering)
  • Python (scipy, numpy, pandas, scikit-learn, scrapy, matplotlib, seaborn)
  • R (dplyr, ggplot2, shiny, caret)
  • SQL
  • Tableau
  • Hadoop, HiveQL
  • AWS (S3, EC2)
  • MS Excel (VBA)
  • Enterprise application integration
  • Data validation
  • Use Cases
  • Process Mapping
Master of Science: Data Analytics, Expected in 05/2020
George Mason University - ,
Bachelor of Engineering: Electrical, Electronics And Communications, Expected in 06/2014
MIT Indore - ,

GHC20 Data Science track review committee member & attendee for Anita Borg Institute for Women and Technology.


Teaching professional of S’Prayas (Corporate Social Responsibility vehicle), worked on a social cause, & free education.

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School Attended

  • George Mason University
  • MIT Indore

Job Titles Held:

  • Data Analyst
  • Research Data Analyst
  • Business Intelligence Consultant


  • Master of Science
  • Bachelor of Engineering

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