Michael Arango

Michael Arango Email and Phone Number

Staff AI Engineer @ Sony Interactive Entertainment
Fort Lauderdale, FL, US
Michael Arango's Location
Fort Lauderdale, Florida, United States, United States
Michael Arango's Contact Details

Michael Arango work email

Michael Arango personal email

About Michael Arango

Data Scientist with 4+ years’ experience delivering analytics projects and solutions. I am currently leading data science and backend development for a RegTech product at Deloitte aimed at accelerating regulatory reform. During my tenure with the team, we successfully brought the product from prototype to production in under a year. In addition to product development, I have also served as a client-facing consultant to deliver analytics projects in the RegTech and Human Capital spaces, among others, for large Federal clients. I earned my Master’s in Data Science from George Washington University and went on to serve as an adjunct lecturer in the program focused on helping students make the transition from classroom data science to real world solutions. Bachelor’s degree in Mathematics and Economics. Skills: • 3+ years’ experience in Python, R, SQL• 2+ years’ experience in Machine Learning/Deep Learning in frameworks such as scikit-learn, keras, pytorch, caffe, caret• 2+ years’ experience software development with git• 2+ years’ experience creating relational data models• 2 years cloud experience in AWS (EC2, RDS, DynamoDB, S3, Lambda, etc.) & GCP (Natural Language APIs, Compute Engine, etc.)• Project Experience in natural language processing using nltk, spacy, genism, keras• Proficient in data visualization in ggplot, matplotlib, Tableau, R Shiny, plotly.js (API), Seaborn• Working knowledge of big data technologies/distributed computing like hadoop and spark• Experience supporting and leading delivery of advanced analytics projects to high profile clients• Experience with agile project management of small team of developers and data scientists• Experience developing RESTful APIs in Django• Proficiency in Windows & Unix/Linux

Michael Arango's Current Company Details
Sony Interactive Entertainment

Sony Interactive Entertainment

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Staff AI Engineer
Fort Lauderdale, FL, US
Employees:
10753
Michael Arango Work Experience Details
  • Sony Interactive Entertainment
    Staff Ai Engineer
    Sony Interactive Entertainment
    Fort Lauderdale, Fl, Us
  • Bungie
    Senior Data Scientist
    Bungie Apr 2023 - Present
    Bellevue, Wa, Us
  • Pandera Systems
    Director Of Data Science
    Pandera Systems Feb 2021 - Mar 2023
    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
  • Pandera Systems
    Senior Data Scientist
    Pandera Systems Oct 2019 - Feb 2021
    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
  • Deloitte
    Data Scientist, Consultant
    Deloitte May 2018 - Oct 2019
    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
  • The George Washington University Columbian College Of Arts & Sciences
    Adjunct Faculty Instructor
    The George Washington University Columbian College Of Arts & Sciences May 2018 - Jan 2019
    Washington, District Of Columbia, Us
    DATS 6450 - Foundations of Computer Science for Data Scientists
  • The George Washington University Columbian College Of Arts & Sciences
    Graduate Teaching Assistant - Deep Learning/Ml
    The George Washington University Columbian College Of Arts & Sciences Jan 2018 - May 2018
    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
  • The George Washington University Columbian College Of Arts & Sciences
    Graduate Teaching Assistant - Cloud Computing
    The George Washington University Columbian College Of Arts & Sciences Aug 2017 - Dec 2017
    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
  • The George Washington University Columbian College Of Arts & Sciences
    Graduate Teaching Assistant - Machine Learning
    The George Washington University Columbian College Of Arts & Sciences Jun 2017 - Dec 2017
    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
  • Hpsi
    Senior Analyst, Data Science
    Hpsi Jan 2018 - May 2018
  • U.S. Commodity Futures Trading Commission
    Forensic Economist (Intern Program)
    U.S. Commodity Futures Trading Commission May 2017 - Aug 2017
    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.
  • Assuredpartners, Inc.
    Business Analyst
    Assuredpartners, Inc. May 2016 - May 2017
    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
  • The Heritage Foundation
    Intern - Center For Data Analysis
    The Heritage Foundation Aug 2016 - Dec 2016
    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

Michael Arango Skills

Public Speaking Microsoft Office Microsoft Word Research Leadership Microsoft Excel English Powerpoint Quantitative Analytics Windows Spanish Customer Service Outlook Stata Latex Matlab Quantitative Research Writing R Python Econometrics Data Mining Data Warehousing Machine Learning Cloud Computing Amazon Web Services Google Cloud Platform Sql Git Tableau Lua Torch Pytorch Tensorflow Linux Unix

Michael Arango Education Details

  • The George Washington University Columbian College Of Arts & Sciences
    The George Washington University Columbian College Of Arts & Sciences
    Data Science
  • Covenant College
    Covenant College
    Mathematics; Economics
  • Gettysburg College
    Gettysburg College
    Mathematical Economics

Frequently Asked Questions about Michael Arango

What company does Michael Arango work for?

Michael Arango works for Sony Interactive Entertainment

What is Michael Arango's role at the current company?

Michael Arango's current role is Staff AI Engineer.

What is Michael Arango's email address?

Michael Arango's email address is ma****@****tte.com

What schools did Michael Arango attend?

Michael Arango attended The George Washington University Columbian College Of Arts & Sciences, Covenant College, Gettysburg College.

What skills is Michael Arango known for?

Michael Arango has skills like Public Speaking, Microsoft Office, Microsoft Word, Research, Leadership, Microsoft Excel, English, Powerpoint, Quantitative Analytics, Windows, Spanish, Customer Service.

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