Gabriel Blatstein Email & Phone Number

Valley Forge, PA, US

• CX Senior Data Analyst Mutual Fund Lab
• Spearheaded website modernization for the Mutual Fund Lab, executing 5+ Non-Inferiority A/B tests, boosting JCR completion rates by an average of 5%
• Built an NLP tool with TF-IDF bigrams/trigrams which analyzed customer feedback to identify previously unknown client friction points leading to reprioritization of features and epics
• Fine-tuned a Hugging Face LLM (DistilBERT) on CSAT surveys, achieving a 20% accuracy improvement over Vanguard's leading model
• Utilized proprietary clustering techniques and LLM models to analyze call transcript data, validating qualitative UX research and testing lab hypothesesCX Senior Data Analyst CX Alpha
• Directed data and Tableau analyst teams to craft behavior scorecards for 500K onboarded never invested clients, providing senior leadership a streamlined view of client trends and behaviors

Worldwide, OO

• Incident Management Data Science/BI Lead at Facebook
• Developed a WordCloud of disparate incident text fields to identify monthly insights of specific problem areas
• Led the creation of customized dashboards using SQL and Unidash for cross-functional FB teams
• Built a Performance Metrics dashboard to track key metrics for the Network team leading to decreased average Time to Detect and Time to Mitigate for incidents
• Supported five incident management teams in weekly triaging meetings to understand the root cause of incidentsPerformance Modelling & Data Mastery Analyst at Lockheed Martin
• SQL script testing and documentation

London, UK, GB

• Lead Hadoop Big Data Operations Analyst
• Transitioned Big Data Operations division from the development team to the business operations team
• Documented and modernized business processes to align data sources to form synergies for data lake stakeholders
• Monitored the Hadoop cluster using Ambari, Autosys, and other monitoring tools to ensure an optimal data lake Techinical Analyst Financial Close Modernization for Tier One Bank
• Analyzed the current financial close process both from a systems and functional perspective
• Conducted various meetings with business stakeholders to understand the current state

NEW YORK, New York, US

• Skilled up in Python, Statistical Analysis, Machine Learning, and Deep Learning in this 10-month online part time training program. As part of the program, I attended lectures, completed individual and group.
• Studied a variety of data science tools in depth, including Python, SQL, SQLAlchemy, scikit-learn, Pandas, and Keras
• Implemented Regressions, Decision Trees, Linear Algebra, Statistics, OOP, ORMs
• Created Time Series Analyses, Clustering and Market Segmentation, ARIMA Modeling, A/B Hypothesis Testing
• Worked both individually and in teams to develop and present a variety of data science projects

Chicago, IL, US

• U.S. Customs and Border Protection (CBP) Revenue Modernization
• Revolutionized CBP revenue collections ($1.5B) through re-engineering of outdated and inefficient processes
• Elicited, documented, and tracked business-focused requirements from CBP stakeholders
• Performed ad-hoc analytics to provide leadership with capability to make data-driven decisions for port selection or fee scope selection for projectsAdministrative Office of the U.S. Courts (AOUSC) Financial Reporting.
• Consulted the Administrative Office of U.S Courts to become compliant with OMB A-123 financial reporting requirements
• Supported development and maintenance of Grant Thornton’s Automated Financial Reporting Tool (FIRST/GLAAS), resulting in 75% time savings

Horsham, Pennsylvania, US

• Led cost saving transition to paperless record-keeping of financial statements (Life Insurance, qualified, and non-qualified accounts) for entire client base (250 clients), including integration into CRM database
• Evaluated financial statements of clients and created Morningstar reports and asset summaries for both current and prospective clients which resulted in increase in sales

• Performed company valuations utilizing comparable public company analysis, precedent transactions analysis and discounted cash flow (DCF) analysis
• Built fully-integrated financial statement projection models, LBO models, and accretion/dilution merger models, including ability to run operational and capital structure sensitivities within models and data tables for.

Master Of Science - Ms, Analytics

Data Science Bootcamp

Bachelor Of Science (Bs), Finance, General