Contracted as Principal engineer for machine learning and data pipelines for Brisance clients.Brisance is a customer-focused digital product strategy, design, engineering, and security solutions provider.

DispatchHealth provides mobile urgent-care to patients all over the US.I lead the technical implementation and deployment of machine learning models, data pipelines (data engineering), database maintenance and architecture, and DataOps.Day-to-day tools and technologies:Python, Terraform, AWS, Airflow, Prefect, dbt, scikit-learn, FastAPI, Postgres, Redshift

AirDNA is the world-wide leader in short-term rental data, ingesting 10’s of millions of rows of data per day.Led implementation of data pipeline tests for business critical data pipelines and tables. Increased table tests from 0% to 65% of tables.Led initiative to standardize Machine Learning pipelines using Databricks, ML Flow and Python’s Great Expectations.Led code refactorization of business critical rental prediction machine learning model. Refactored the model and pipeline from python 2.7 to python 3. Implemented unit tests to increase test coverage from 0% to 80%.Led the standardization for the data science team for pull requests/merge requests, unit testing, data testing, python package creation and management, model deployment and API deployment.Technologies and Tools: - AWS - Airflow - Databricks - ML Flow - Python - Great Expectations - Poetry

Cake Insure is a multi-award winning company that provides a simple, smart worker’s compensation experience for Colorado small businesses.To fulfill company mission lead collaboration efforts with COO, CMO, Director of Customer Happiness and Director of Product around Machine Learning efforts at Cake. Deploy products that holistically impact the customer journey by building end-to-end products from ETL, through machine learning, to deployed RESTful APIs. Most products include some mixture of convolutional neural networks, recurrent neural networks and natural language processing algorithms built using python, PostgreSQL, Google Cloud, Airflow, Cloud Composer and AWS.Highlights include:Responsible to be Machine Learning thought leader for Operations, Product and Marketing Departments.Spearhead monthly, inter-team hackathons.Computer Vision model to discretely classify business types.Boosted tree model to predict year-over-year revenue of small businesses.Computer vision model to predict payroll of small businesses.Creation of end-to-end searchable database of all phone calls.Audio and text sentiment analysis of phone calls.Topic modeling of phone calls.Creation of Customer Service UI to interact with phone call models and database.Lead Scoring model for Marketing team.Market segmentation model to provide account based marketing journeys for each customer.Creation of customer journey pipeline that synthesizes Google Analytics, Web Session recordings, chat, email and phone interactions through quote and buy process.

Produced revenue in top 11% of all Coldwell Banker agents world-wide.

Increased revenue by over 100% each year at Coldwell Banker. Only Realtor in Philadelphia to streamline the FHA 203k renovation mortgage process for buyers.

Increased revenue by over 100% each year at Solo Realty.Designed and implemented materials and curriculum for homebuyer education; conducted education and training sessions for first-time homebuyers.