* Built automated order entry system that used GPT-4 and LangChain to parse customer emails and generate a JSON payload for internal orders API. Designed to perform equivalent data entry of 400 FTEs. Enabled LLM fine tuning by auditing prompts and responses to Kafka and Snowflake as well as building Streamlit app to capture data corrections from SMEs.* Designed and built MVP of contractual pricing model deployment framework with FastAPI and Kafka. Speeds integration of new models from weeks to days enabling faster response to market changes.* Created and led implementation of ML model production deployment plan using Azure ML and Airflow/Astronomer for automatic order acceptance system that handles 5k orders per day.* Led group of 5 lead and senior engineers to improve interview process. Developed and rolled out new set of evaluation rubrics and technical exercises.* Mentored 3 data scientists and 3 engineers on ML engineering and soft skills.

* Led evaluation for a company-wide MLOps platform. Wrote proposal to executive leadership that resulted in adoption of Azure ML and the creation of a five-member MLOps platform team.* Designed replacement for ML system that predicts truckload costs for lanes with sparse data. Led team of data scientist and MLE to implement. Improved prediction accuracy by 50% on $50MM of quotes annually.* Set priorities regarding feature delivery, stability, and scalability. Recommended technical strategies to balance trade-offs between business and technical priorities.* Migrated Python apps to Azure Kubernetes Service to increase scalability and availability.

* Built and maintained machine learning systems using Python, Docker, and Kubernetes that quote over $750MM of shipments annually.* Designed and led team implementation of data cache refactor to MongoDB that increased availability and decreased response time by 15%.* Built container, data quality, and machine learning model real-time monitoring using Prometheus and Grafana.* Mentored developers on best practices for software development, data architecture, and machine learning.* Organized study groups and internal presentations on software architecture, testing methods, Site Reliability Engineering, and Bayesian modeling.

* Architected and led implementation of ML system to score customers' engagement based on behaviors across web site. Enabled account representatives to identify unhealthy accounts.* Designed and built data pipeline that condensed 50 GB of daily web activity data into 50 MB of encoded events. Condensed format promoted deeper data analysis and feature creation from activity data.* Led delivery of revenue data pipeline using a custom Python framework. Increased business decision speed from a month to less than a day.* Built ML pipeline to categorize accounts into seasonal types and forecast their activity levels. Used spacy to perform NLP analysis to support account classification.* Co-built system to continuously extract all Zendesk support ticket data to data lake.* Provided quantitative support of findings from customer interviews as part of customer research team.

Helped business travel startup deliver an MVP of its primary product.* Built flight recommender microservice with Python on AWS Lambda. Recommendations are sourced from live GDS system and based on user preferences for airlines, times and price.

* Built and managed team of four data professionals and several consultants. Team accomplished over 80% of quarterly goals for three consecutive quarters.* Architected and constructed data warehouse in AWS Redshift using Matillion ETL tool. Integrated data from multiple sources including platform MySQL database and Salesforce. Enabled executive team to make faster and more objective business decisions regarding sales, marketing and finance.* Established behavior-based customer segments using latent class clustering in R. Model leveraged to create company strategy for 30% annual growth.* Designed and implemented processing pipeline using Snowplow Analytics for 5M platform events per day. Pipeline included event collection, enrichment in data warehouse and visual analysis in Tableau. Resulted in ability to make objective decisions regarding product strategy.* Developed weekly revenue forecast model for company using R forecast library and Fourier series analysis. Increased confidence in annual budget by validating that forecasts were within 12% of actuals with 60 days lead time.* Analyzed text of 500K work order descriptions to find patterns in hourly pay rates using Python nltk package. Created statistical model that could predict rates by skill type and geography. Improved ability of buyers to accurately set job prices.* Built data export microservice REST API using Python Flask to enable customers to acquire their critical business data. Encouraged customers to more tightly integrate with company platform increasing retention.* Planned quarterly product strategy goals with leadership team. Resulted in prioritization of projects with highest business value to company.* Selected for ECHO leadership training program. Improved management and leadership skills through cross-department workshops.

Resolve businesses' data issues using the Microsoft Business Intelligence platform.* Implemented complete lifecycle of sales forecasting project from software selection to report creation for $2B manufacturer. Improved confidence of CEO and CFO during monthly calls with Wall Street analysts.* Improved sales invoice ETL performance from 150 minutes to 20 minutes by simplifying package, improving SQL Server performance and building custom date range lookup in C#.* Enhanced C# program that loaded Excel data files to data warehouse. Created general process able to load any data file.

Resolve businesses' data issues using the Microsoft Business Intelligence platform.* Improved performance time of client’s primary ETL job by 1000% resulting in over two additional hours of data availability per day.* Installed and configured Master Data Services to assist client in capturing master data between legacy and new systems. Reduced transition time to new system.

Design and implement Enterprise Data Warehouse solutions using Microsoft SSIS, SQL Server, and Analysis Services.* Co-designed and implemented 30M fact SSAS cube to provide revenue and volume figures for enterprise-wide budgeting application. Enabled leadership team to accurately set budgets for over 300 branches.* Designed and implemented 2M fact SSAS cube for analysis of pricing strategy results. Resolved data quality issues and challenges of multiple data sources.* Constructed invoice data mart for business line’s largest customer under severe time constraints preventing default on over $8M of outstanding invoices.* Designed and implemented financial and process metric measurement data mart integrated into Enterprise Data Warehouse which allowed directors to pro-actively monitor and analyze international branch performance.* Provided technical recommendations as EDW team liaison to international customs system replacement project.

Ensure data quality and operation of district-wide data systems.* Designed and constructed data extraction system to generate state XML discipline report with 200,000 data elements. Improved ability of state to design intervention programs and prevented fine from state for non-compliance.* Modeled and constructed SQL Server database to track staff hours accounting for more than $20M in federal funding. Ensured reimbursement to district of federal funds.* Re-engineered data feed to food service system to include future enrollments. Resulted in $50,000 in increased state funds annually.

Develop and improve mission-critical data management solutions for Special Education data.* Coordinated creation of tuition billing system responsible for $880,000 in billing revenue.* Redesigned student data synchronization system to reduce errors by over 90% preventing $1M government fines.* Gathered requirements, designed and constructed an ASP.NET / SQL Server 2005 web site for tracking and reporting student progress.* Increased teacher effectiveness district-wide by designing and constructing a Visual Basic 2005 program to provide individual student reports.* Improved director decisions by providing department statistics using the BusinessObjects XI Web Intelligence system.

Collected, organized and summarized computer network data for use by technical and administrative staff. * Performed physical audit of computer network at over 70 sites including more than 300 network closets. * Created Microsoft Access database to organize and analyze network data. * Cooperated with large variety of staff members to locate and collect data. * Coordinated district-wide inventory of over 1000 computers purchased with federal Title I funds.

Managed start-up phase of charitable technical school in rural village in India. * Designed and taught a six-month course in typing, DOS, Windows XP and Microsoft Office. * Graduated 40 students from six-month computer course. * Supervised staff of assistant teacher, grounds-keeper and librarian. * Lectured in the national language of Hindi. * Built and maintained all hardware and software for a LAN of 8 student computers plus a Windows 2000 server. * Managed and recorded financial transactions for the computer school as well as the related sewing school and library projects.

Contributed to creation of network management software system that monitors the status of over 2000 mission-critical Internet routers and servers. * Created multi-threaded Java applications to do hardware and software level queries of network devices and place the results in an Oracle database on Sun Solaris platform. * Co-designed Perl CGI-driven web site to display monitoring results to network administrators.

Acted as key team member in design and construction of re-engineered product database for Fortune 50 company (multithreaded three-tier client/server system using Sybase and C++ on back end). * Tuned first-tier Sybase database resulting in a fifty-fold performance improvement on critical operations. * Designed and constructed a data loading and synchronization system between the legacy mainframe and re-engineered databases. * Performed object-oriented analysis and design of the middle tier using UML and C++. * Constructed business object portions of C++ middle tier.

Administrated computers in the Advanced Biosciences Computing Center including a Sun UNIX server with over 1000 faculty, staff and student accounts, 10 Sun and SGI workstations plus several PCs and Macs. Installed and maintained scientific, Internet, and system applications. * Created and coordinated the College of Biological Sciences 3000 page web site. * Provided support of critical research systems with over 99% up time. * Implemented online mySQL database of lichen for the Minnesota Herbarium. * Collected data for network database. * Assisted faculty and graduate student users in the use of computer systems.