David B. Email & Phone Number

New York, Ny, Us

Led end-to-end development of data infrastructure and ML solutions for multi-region sales operations.Key Technical Achievements:Architected and deployed distributed data collection system using Python (Selenium, Playwright) to process thousands of business sources dailyDesigned hybrid database architecture (MongoDB for raw data, PostgreSQL on GCP for processed data) with automated ETL pipelinesImplemented ML/NLP algorithms for intelligent lead scoring and business classificationDeveloped real-time integration system between cloud database and Smartsheet using custom APIsBuilt automated data enrichment pipeline incorporating LLMs for intelligent data processingImpact:Improved lead generation efficiency by 40% through automated prospect identificationIncreased data accuracy and accessibility by 50% through centralized data architectureReduced manual data processing time by 70% through automated enrichment pipelines

Led technical integration and data analytics initiatives for rapidly growing educational technology platform.Technical Implementations:Architected multi-source data integration system connecting various educational platforms through custom APIsDeveloped automated analytics pipeline using SQL, MongoDB, and Python for real-time student performance trackingCreated interactive Tableau dashboards for monitoring key educational metrics and identifying intervention opportunitiesDesigned and implemented custom data solution for special education case management, streamlining IEP tracking and complianceData Infrastructure:Built centralized data warehouse integrating student performance, attendance, and engagement metricsImplemented automated ETL processes for daily synchronization of multiple educational software platformsDeveloped data validation and quality assurance protocols to maintain data integrity across systemsImpact:Reduced manual data processing time by 60% through automated integration systemsImproved intervention response time by implementing real-time performance monitoringStreamlined special education case management efficiency by 40%Enhanced data accessibility for educators through self-service analytics platformTechnologies: Python, SQL, MongoDB, Tableau, API Integration, ETL Pipeline Development, Data Warehouse Architecture

New York, New York, United States

Led technical strategy and implementation of data-driven solutions for NYC-based nonprofit.Technical Implementations:Developed ML-powered grant opportunity analyzer using NLP and historical data analysisBuilt automated social media growth engine combining custom chatbot with graph analyticsDesigned and implemented centralized SQL database for organizational data managementCreated automated grant writing system using NLP and custom language modelsImpact:Increased active user engagement 10x through automated social media strategiesReduced grant application processing time by 50%Automated identification and qualification of board member candidatesImplemented data-driven donor targeting systemEd Tech Coordinator & Data Analyst | Prenda (Feb 2021 - Mar 2022)Led data infrastructure development and analytics for educational technology platform.Key Contributions:Developed analytics pipeline using SQL, MongoDB, and Python for program performance trackingCreated custom dashboards in Tableau for real-time performance monitoringImplemented automated reporting system for student progress trackingDesigned and deployed custom solutions for special education data management

Manhattan, New York

I exceled as a Temporary Leasing Agent, while completing the Data Science Bootcamp through the Flatiron School to start before being onboarded full-time in the role.In my role, I forged and fostered strong relationships with brokers and clients to sustain 90% or better occupancy rates for the assigned apartment building. I also leveraged my data visualization expertise to develop comparative reports on other similar buildings throughout the neighborhood, eventually expanding the report from five to 12 regional buildings. The reports were vital in continually offering competitive prices and maintaining the 90% occupancy rate.

Washington D.C. Metro Area

I secured a $50K investment from Smart City Works after participating in the organization’s business actuator/incubator program for 10 months, which was classified as a mini-MBA. The program included courses in Sales, Data Management, Sales Pitches, and more. For my startup, I wrote pitch decks, aggressively worked to raise more capital funding, analyzed markets, and designed product prototypes, while managing a team of subcontracted Engineers involved in producing beta products for further market testing.

Global

- Washington D.C. | Neval Thomas Elementary School | Fifth Grade Teacher- Taipei, Taiwan | Fushing Private School | Second Grade Teacher- Louisville, Kentucky | Slaughter Elementary School | Second Grade Teacher- Cairo, Egypt | El-Alsson International School | Third Grade Teacher

Data Science

Skilled up in Python, Statistical Analysis, Machine Learning, and Deep Learning in this 10-month training program. As part of the program.

Master Of Science - Ms, Education

Consistently ranked one of the best programs in the nation, the M.S.Ed program combines cutting-edge research with hands-on experience..

Bachelor Of Arts - Ba, Film/Cinema/Video Studies