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

Detail-focused Data Analyst with knowledge and experience in data science. Proven ability to understand customer requirements and develop solutions for their challenges. Hardworking and diligent with passion for Machine Learning and Big Data.


SJSU Student Research Competition – Research Foundation, San Jose State University, Spring 2017

· Thesis work recognized as one of the top two SJSU Engineering School and top 8 SJSU research work

Opportunity Hack, PayPal Hackathon - PayPal Campus, Santa Clara, CA, July 2017

· Selected among top 10 finalists for improving the design and productivity of Work2Future non-profit organization website in judge competition

Cañada Learning Center Scholarship – Cañada College, Redwoodcity, Ca - May 2012

· Recognized as one of the top 3% certified tutors for showing exceptional commitment to tutoring students

  • Advanced SQL
  • Python
  • R
  • Azure Data Factory
  • Tableau
  • SAP BW on HANA Business Worbench and Business Explorer
  • Java
  • C++
  • Data validation
  • Data Profiling
  • Data Analysis
  • Business User Story Elicitation
  • Oracle Business Intelligence
  • Data Science
Work History
01/2017 to Current
Data Analyst III Livongo Health, Inc. Phoenix, AZ,

Implementing creative solutions in IT innovation center to improve various business KPIs using Agile methodology

  • Worked with users across the enterprise to clearly define challenges and their scope
  • Identified and established data collection methods based on the scope, time and resource availability.
  • Performed data preprocessing and EDA using various tools such as BigQuery, Azure Advanced SQL, Python, R and Tableau
  • Applied various machine learning models such as Linear Regression, KNN, and CatBoost to predict and classify cases as well as identify potentials for business KPI improvements.
  • Analyzed model performance and results and fine-tuned models via methods such as grid search and PCA.

Ensuring enterprise compliance with CCPA and other consumer data rights using BigID and OneTrust technologies

  • Worked with the product owner to identify PI data across multiple functions such legal and marketing
  • Worked with solution designers to connect BigID with structured and unstructured PI data sources such as Oracle RDB, MySQL, Workday, Box, and Sharepoint through APIs.
  • Defined correlation sets required by BigID to scan data sources and discover linked personal data across all of them
  • Analyzed BigID PI profile scan results and compared them with 1k+ datasource objects to validate and fine-tune discovered PI correlations by BigID
  • Performed unit tests to ensure consumers and employees can submit DSAR requests through OneTrust and receive accurate reports of their PI data in systems connected to BigID.
  • BigID implementation has empowered enterprise users to save ~ 90% on time and effort via automation of discovering correlations of PI data scattered across various silo data sources.

Integrating different data domains and source systems to create robust enterprise data solutions and reports

  • Documented and created user stories for business requirements and processes across multiple domains such as sales, marketing, ecommerce, and HR.
  • Analyzed, profiled and modeled data available in various internal and external sources such as SAP R/3 and BW on HANA, IBM Silverpop, Workday, IRI and Nielsen, Google DCM, Oracle Bluekai, MOAT, and Salesforce
  • Worked with data engineers and created database objects and stored procedures in Big Query and Azure SQL to host in GCP and Azure data lakes.
  • Rewrote BeX queries in SQL and recreated BW LSA transformations in Azure and Oracle SQL to enable consolidation of enterprise KPIs and BI reports across multiple sources.
  • Evaluated and tested data quality and flow among various source systems using SQL, Python, R, and SAP BW Workbench.
  • Identified and resolved various data quality issues existing among integrated systems such as OBIEE, Oracle SQL DB, and SAP BW.

Managing and mentoring interns

  • Managed and trained an intern during summer 2020 to use different data sources and systems such as SAP BW and Oracle SQL.
  • Mentored three summer interns and helped them to acquire and improve their technical knowledge and soft skills. All three received full time offers from IT department.
11/2017 to 08/2020
Java Instructor Motion Recruitment Atla, GA,

Instructor of ACSL (American Computer Science League) prep classes

  • Taught Java from basic to advanced levels to K5-K12 students
  • ACSL team earned silver medal from ACSL 2017-2018

Tools and technologies used:

  • Eclipse IDE, NetBeans IDE
06/2016 to 08/2016
BI Developer Intern Lunchclub New York City, NY,
  • Analyzed and modeled Double Click Campaign Manager (DCM) online marketing dataset using Apache Hive.
  • Defined KPI metrics for designing visualization dashboards to provide instant insights for assessment of Clorox online marketing campaigns performance.
  • Worked with a team of three and designed BI visualizations to automate the process of gaining instant insights into cybersecurity trends using Qualys dataset. The project was capable of the company to save 5% in time and 140000$ annually.
06/2007 to 09/2007
Software Engineering Intern DPI Iran City, STATE,
  • Created a software prototype to store employee contact info using Visual Basic and MS Access.
  • Created a software prototype for student course registration using Visual Basic and MS Access.
Expected in 12/2021
Data Science Certificate:
University Of California Berkeley- Extentions - Berkeley, CA,

Introduction to Machine Learning Using Python

  • Implemented and tested supervised and unsupervised ML algorithms on datasets such as MNIST using Python.

Data Science Principles and Practices Using Python

  • Implemented a web scraping framework using packages such as nltk, re, BeautifulSoup and json.
  • Built classifiers and regression models to predict classes and values for target variables using packages such as sklearn, and PandaSQL and algorithms such KNN, Perceptron, Descision Tree, Random Forrest, CatBoost, and AdaBoost

- Machine Learning with TensorFlow

  • Built image classifiers using CNNs, and applied techniques such as image augmentation, neuron drop out, and transfer learning to improve accuracy
  • Used Tensorboard to visualize TensorFlow graphs and model performance scalers.
Expected in 12/2016
Master of Science: Compuetr Engineering
San Jose State University - San Jose,
  • Graduated with 3.7 GPA
  • Thesis: Modeling Cloud Computing Threats and Vulnerabilities
Expected in 05/2008
Bachelor of Science: Software Engineering
Razi University - Iran,
  • Graduated in Top 10% of Class
  • Majored in Software Engineering
  • Senior Project: Kermanshah City Bus Route Planner J2ME Mobile App

Basic Statistics Using R

  • University of Amsterdam; Coursera; 06/08/2020

Programming for Everybody (Getting Started with Python)

  • University of Michigan; Coursera; 02/06/020

Python Data Structures

  • University of Michigan; Coursera; 02/06/2020

The Data Scientit's ToolBox; 09/14/2018

  • Johns Hopkins University; Coursera

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School Attended

  • University Of California Berkeley- Extentions
  • San Jose State University
  • Razi University

Job Titles Held:

  • Data Analyst III
  • Java Instructor
  • BI Developer Intern
  • Software Engineering Intern


  • Data Science Certificate
  • Master of Science
  • Bachelor of Science

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