+ Designed and implemented Snowflake ETL optimizations resulting in SLA improvements and annualized cost savings of over $200K.+ Led design and development efforts of unified viewership pipeline to process billions of records under conformed schema while adhering to identity masking requirements. Built and automated test cases into new pipeline.+ Partnered with architect and engineering to implement series of new Airflow DAGs required to efficiently build batch content metrics in time for new Hulu on Disney+ launch.+ Designed and delivered robust 3rd-party API metric ingestion pipeline leveraged by Data Science to build content forecasting models.+ Shared knowledge with Engineering, Product, and Analytics stakeholders through detailed data source mappings and pipeline documentation throughout the SDLC process.

+ Recommender System: Implemented Collaborative Filtering pipeline with PySpark to train a model from 3M+ Yelp reviews with high accuracy and optimized for production-level usage (Coding: Spark; Architecture: EMR)+ Knowledge Graph ETL: Designed web crawlers to extract large, structured datasets; Integrated sources via blocking and pair-wise similarity techniques; Developed user interface and graph conversion to enable network analytics (Coding: Python; Backend: MySQL, Neo4j; Platforms: Python Django)+ Search Engine Pipelines: Developed ETL scripts, schedule, and front-end (Python Django) to enable keyword searches upon relational tables; Implemented NoSQL datastore (DynamoDB) with API calls from Django (Coding: Python; Architecture: RDS, EC2, Firebase, Django)+Streaming Analytics Pipelines: Developed pipeline for streaming ETL to enable real-time data analytics within an AWS environment within one week; Implemented with Python, S3, RDS, Lambda, and Step Functions.+ ML Implementations: Customized source code of supervised (Random Forest, Neural Nets, SVM, Naïve Bayes, HMM), unsupervised algorithms (KNN, GMMs, PCA), and NLP extractions. (Python: scikit, numpy, nltk, xgboost)

+ ISI Geopolitical Forecasting Platform: Stood up DevOps team process and reporting in Github within one month; Tested new platform features in Django (Django, PostgreSQL)

+ Developed ETL pipelines, models, and Tableau dashboards to support analytics requests of the Integration Services organization; Owned portfolio of analytics projects across entire SDLC+ Optimized SQL queries on large-scale E-prescription tables (1M daily records) tounderstand user behaviors; Built test scripts and messaging to validatecorrectness of aggregated data+ Planned ETL architecture required for graph construction to enable customersimilarity analysis; Attained buy-in through demonstrations and workshops

+ Applied SQL queries to investigate root-cause of data integrity issues createdduring interface development process+ Identified $100K of patient unbillable claims due to data integrity issues andrectified them using SQL and Python+ Led product research efforts for interfaces supporting provider-based billingworkflows; Developed SQL queries on product performance to gain buy-in forinvestments on new product features

+ Developed large-scale message queues to enable interoperability for groupand enterprise healthcare providers; Brought live 27 unique interfaces, and 54interface modifications+ Executed on a cross-functional initiative to upgrade a global interface used by26 Federally Qualified Health Center (FQHC) clients, increased accuracy ofdownstream quality metric report

+Executed primary market research for clients by identifying key players and trends across stakeholders in the healthcare value chain (e.g. population health solutions, revenue cycle management, best practices in value-based care, etc.).+Curated client engagements by designing system queries and compiling relevant expert data for outreach and client delivery; navigated and provided feedback on internal workflows to ultimately deliver white-glove customer service.+Communicated quickly and effectively with clients and team to drive engagements forward; client communication included project scoping, request-for-proposals (RFPs), product delivery, and comprehensive phone and email updates.+Delivered a quick turnaround 200-respondent customer survey on revenue cycle management resulting in $15,000 in revenue in two business days.

+Managed communication for WTJU’s Top 30 Charts to College Music Journal (CMJ), label representatives and distributors including: the Syndicate, AAM, Never Better, Team Clermont, and Planetary.+Drove success of new artists through planning in-station performances, promotional events, and promoting airplay for CDs, LPs, and EPs from independent labels. +Educated and advised 80 student DJs on their programming and curation of high-quality college radio shows.

+Ensured efficient use of marketing budget on Google AdWords campaigns by increasing ROI for Custom Ticketing branch of Ticketmaster+Synced e-commerce data from Cybersource with Google Analytics to track the success of PPC advertising campaigns+Compiled report and suggested future obligations for in-house AdWords maintenance to increase profitability