Michael Arango Email & Phone Number

Fort Lauderdale, Fl, Us

Bellevue, Wa, Us

Orlando, Fl, Us

- Defined practice mission, vision, GTM strategy, and roadmap aligned to corporate strategy and growth goals- Created thought leadership content for GTM initiatives (blog posts, workshops, pitch decks, sell sheets) to support digital marketing in practice sales efforts that align to our strategic partnership with Google- Mentored and advised team of data scientists on career growth, training paths, and hot research areas to stay up-to-date on- Demonstrated expertise in delivering clients solutions on GCP leveraging VertexAI and other platform services

Orlando, Fl, Us

- Developed image classification model to integrate virtual proof of delivery into delivery notifications and predict when packages will be reported as not received for a major last mile delivery company; reduced Delivered Not Received claims by 5% along with prediction explanations mapping to corporate action plans - Created a Center of Excellence and a standard process for automating distributed training of PyTorch and sklearn models across clusters on GCP which led to the client being acquired by a social media platform- Led out-of-stock analysis for a major retailer that revolutionized their demand planning/fulfillment to be more real-time rather than yearly and reactionary

Worldwide, Oo

Some of my day-to-day responsibilities leading all data science and backend development for an internal product: - Managed a 5-person backend development team and 6-person frontend development team and facilitated daily scrum calls, code reviews, and weekly status updates of risks and milestones to the asset owner- Developed NLP pipeline consisting of custom word embedding training, document clustering, cluster topic generation, citation extraction, and network graph generation- Developed & optimized REST APIs in Django with an average speedup of 20x and document retrieval speedup of over 360x after full text search integration in postgresSome accomplishments working as a Data Scientist and Tech Lead for a Federal Health Sector Client: - Created custom document extraction module in Python to extract text, metadata, and citations to statute and regulation from a wide range of document types and file formats- Built binary document classification model to identify significant indicators that a document may beregulatory guidance to use as a flagging mechanism for human review/reform- Developed Python client library for the Federal Register API to label client corpus

Washington, District Of Columbia, Us

DATS 6450 - Foundations of Computer Science for Data Scientists

Washington, District Of Columbia, Us

- Designing course content/lectures for implementing deep neural networks in PyTorch & Caffe 2- Wrote shell script to create deep learning AMI on Google Cloud Platform (GCP)- Accelerating training of DL models on GPU in AWS

Washington, District Of Columbia, Us

- Lectured on Machine Learning on Google Cloud Platform with PySpark and SparkML- Developed Course Content in collaboration with another Grad TA (Tests, Quizzes, Homework/Mini Projects)- Held office hours to help students resolve issues on the cloud and to answer questions

Washington, District Of Columbia, Us

- Created solutions manual for all homework assignments from the prior semester- Developed new coding assignments to help students apply knowledge of machine learning algorithms- Held office hours to help students resolve issues on the cloud and to answer questions

Washington, Dc, Us

- Designed and created an interactive visualization dashboard in R Shiny to give the Departmentof Enforcement team a tool to quickly parse data for a high-priority investigation. - Built a web app in Python to calculate the value and sensitivities of a put or call option. - Conducted data analysis of futures trading data for several cases in collaboration with my direct supervisor and enforcement attorneys.

Orlando, Florida, Us

- Worked directly with the Vice President of Business Analytics- Cleaned, manipulated, and analyzed national client database for SIC Code initiative and mergers and acquisitions - Maintained a relational database for the 6th largest privately-held insurance brokerage firm in the nation- Helped write VBA Macros to automate the data scrubbing and cleaning process

Washington, Dc, Us

- Calculated descriptive statistics of Markov chain Monte Carlo simulations of the social cost of carbon, methane, and nitrous oxide and generated tables to be used in published reports - Co-authored a blog post for The Daily Signal on how regulatory reform boosts the economy- Conducted a public-private sector wage comparison and analysis of benefits of DC metro workers

Master Of Science (Ms), Data Science

Bachelor Of Arts (B.A.), Mathematics; Economics

Bachelor Of Science (B.S.), Mathematical Economics