summary
Experienced data analyst and business intelligence analyst with a track record of developing internal tools with Flask and/or React, conducting data analysis through statistical approaches, A/B testing and data visualization techniques, working with large and complex datasets, and building metric tracking dashboards.

Expertly skilled in Python, SQL, Tableau, React, Git, JIRA, and other data analytics tools/frameworks.
skills
Programming Languages:
Python, SQL (PostgreSQL, MySQL, NoSQL), HTML, CSS, Javascript, React, R, Java
Development Platforms
Tableau, Power BI, Git, Jupyter, Snowflake, AWS, Docker, Kubernetes, DataGrip, PyCharm, Visual Studio
Top Python Packages
pandas, numpy, matplotlib, seaborn, beautifulsoup4, selenium, scikit-learn, spotipy
Management and Infrastructure
Notion, Confluence, JIRA, ServiceNow, Workday, Google Suite, Microsoft Suite, WCAG Standards
Additional Frameworks & Tools:
Flask, Django, FastAPI, ARIA, APIs / SDKs
Languages
English, ASL, Spanish
education
New Jersey Institute of Technology, Newark, NJ
Master of Science, Computer Science
Cumulative GPA: 3.63
Aug 2014 - May 2016
SUNY Potsdam, Potsdam, NY
Bachelor of Arts, Mathematics
Major GPA: 3.84
Sep 2009 - May 2013
work experience
Senior Application Development Engineer, Network Operations
  • Spearheading the modernization of a mission-critical internal tool, transforming the parsing of diverse medical provider rosters to ensure consistent output, thereby reducing complexity and enhancing overall functionality.
  • Driving the transition from file-based data sources to a robust SQL-based approach, showcasing a commitment to improving data management and user management practices.
  • Implementing a technology stack upgrade to Python + FastAPI + SQL, resulting in improved system performance, maintainability, and scalability.
  • Expertly merging and integrating data from two distinct databases into the existing tool, originally designed for a single data source, showcasing adaptability and system integration skills.
Nov 2023 - current
Research Engineer II + Accessibility Developer II (Data Scientist), ESG Accessibility
  • Developed a semi-automated Self Evaluation generator using Python and Flask, reducing time spent on quarterly evaluations by 85%, which included compiling data on tickets, conferences, new skills, and presentations, streamlining the process from an average of 3 days to under an hour.
  • Devised and maintained the team’s JIRA project, ticket dashboard, workflow, and bi-weekly triage, reducing the average response time for tickets from 15 days to under 72 hours.
  • Analytically spearheaded an Accessibility Scorecard initiative with a colleague, including collection of accessibility criteria for 10 departments, crafting an algorithm, and building a dashboard to display core data flows and screen reader testing data.
  • Supported the Social Impact Product Platform team through React development, A/B testing, and abstracting functions and classes, in addition to primary role.
  • Conducted frequent data analysis to support ESG, Social Impact, and Product Inclusion teams in decision making.
  • Oversaw technical project management for the team, including setting objectives, establishing timelines, and implementing iterative feedback processes to enhance solutions.
  • Designed multiple accessible web applications using Flask, programmed interactive Jupyter workbooks, and crafted Tableau dashboards to deliver clean and clear metrics.
Apr 2021 - Mar 2023
Business Intelligence Analyst II, BI Operations
  • Designed a Tableau dashboard for monitoring Snowflake tables and quality checks which was shared and utilized over 1000 times within its first month, resulting in the timely detection and correction of an undetected data flow issue by our data warehouse team.
  • Independently identified team needs and internal tools to enhance team productivity and support OKR achievement, such as an NLP-powered program formulated to minimize unintentional duplication of effort through JIRA ticket analysis.
  • Constructed JIRA and Tableau dashboards to track quarterly progress, recommend process improvements to leadership, and leverage data analytics, problem-solving, and idea generation.
  • Played a key role in promoting inclusivity and accessibility at Indeed by advocating for content warnings in SLT emails, preventing controversial ads from airing at the Grammys, expediting the creation of the Global Product Advisory Council, and facilitating the addition of real-time captioning to SLT Q&As.
Sep 2019 - Apr 2021
Business Intelligence Analyst, Finance
  • Engineered a Python program that provided the Finance team with comprehensive reporting for thousands of advertiser IDs in 5 minutes per run, resulting in a 99.8% decrease in quarterly run time compared to the previous method that only covered 2-3 advertisers in the same duration.
  • Utilized Python, Tableau, JIRA, and other tools/frameworks to analyze metrics, streamline processes, automate workflows, and optimize financial strategies.
  • Developed a Progress Tracking Dashboard in JIRA that, as of 2023, is currently used by over 90% of the Business Intelligence team at Indeed to monitor tickets, track progress, and improve productivity.
  • Co-founded AccessIndeed, a global employee resource group for disability advocacy, and served as the Americas Regional Co-Chair for 3 years. 
  • Conducted over 40 virtual, technical, and on-site interviews for new BI analysts and developers.
Aug 2016 - Sep 2019
Cryptography Research Assistant
  • Worked with a small team to produce a publicly available fully homomorphic cryptolibrary and circuit simulator in C++ and Python.
  • Wrote a confidential programming language from scratch in C++, and wrote up detailed documentation.
  • Planned and prioritized work to meet release commitments aligned with the organizational goals.
Aug 2015 - Aug 2016
Big Data Engineer (Data Analyst)
  • Successfully implemented analytical procedures to predict biomarkers for lung cancer and heart transplant rejections using ionic breath data. This product had a 70% success rate for cancer identification.
  • Established and maintained a 1,000,000 row database using R and SQL to identify discrepancies and correlations between sites, patients, and compounds, leading to multiple publications: (publication1, publication2 )
  • Collaborated closely with startup leaders to promote growth and overcome challenges through proactive problem-solving and clear communication.
  • Demonstrated proficiency in navigating complex and contradictory data through quick learning, pattern recognition, and creativity.
Nov 2014 - Aug 2016
leadership
Regional Co-Chair & Co-Founder, Indeed AccessIndeed
Dec 2017 – Dec 2020
Jan 2017 – Dec 2017
Indeed Conference Attendee/Speaker, Disability:IN, LWT, JupyterCon, Hackathons
Aug 2016 – Mar 2023
Published Co-Author, ResearchGate
May 2015 – Dec 2016
published works
Breath mass ion biomarkers of breast cancer, Journal of Breath Research
Michael Phillips, Renee N Cataneo, Cassie Lebauer, Mayur Mundada, and Christobel Saunders
Dec 2016
Breath mass ion biomarkers of breast cancerJournal of Clinical Oncology
Michael Phillips, Renee N Cataneo, Cassie Lebauer, Mayur Mundada, and Christobel Saunders
May 2016
Blinded Validation of Breath Biomarkers of Lung Cancer, a Potential Ancillary to Chest CT ScreeningPLOS ONE
Michael Phillips, Thomas L. Bauer, Renee N. Cataneo, Cassie Lebauer, Mayur Mundada, Harvey I. Pass, Naren Ramakrishna, William N. Rom, Eric Vallières
Dec 2015