Micah Stubbs Email & Phone Number

Sunnyvale, Ca, Us

Building Nuage — 🇫🇷 French for “cloud” ☁️ — a user interface for data platform provisioning and configuration at LinkedIn. In Nuage we visualize internet-scale data infrastructure. Nuage is a modern web application built with React, TypeScript, and d3js that uses rest.li to communicate with a Java microservices mid-tier which sits atop a collection of big data backend systems.

data visualization for good

At intentive we design experiences that illuminate relationships between humans, symbolic systems, and the physical world. We build interactive maps and custom data visualizations that power innovation.

Mountain View, Wy, Us

Building trust in novel modeling methods with intuitive visualizations. The Stealth Startup brings exciting new capabilities to the cloud information security market.

San Francisco, Ca, Us

data visualization at scale with the world's fasted GPU datastore. OmniSci was previously known as MapD, for "MAssively Parallel Datastore"

machine learning + information visualization for the datacenter event stream.Delivered key features for CTO to demo that led to a successful acquisition by Splunk in October 2017.

Mountain View, Ca, Us

at h2o.ai we built immersive visual experiences and modern web interfaces for machine learning

Mountain View, California, Us

Data visualization for distributed systems, deep learning, and collaborative data science. Arimo delivers business-ready Big Apps for enterprises that need deeper, faster insight to critical business questions. Arimo is the first to provide a unified interface for business and data science users across the enterprise to collaborate and drive high-quality decisions. Easy to use and deploy, the Arimo Data Intelligence Platform runs on existing Hadoop data stores, allowing businesses to begin generating value from distributed data within minutes.At Arimo, I built real-time interactive visualizations and APIs in Javascript, R, and Python that made data easy to understand and access across the team. I contributed to SmartQuery, which parses natural language queries and automatically displays a relevant data visualization for a given the dataset and analytics task. I worked closely with data scientists, deep learning engineers, and the product team to ideate and translate concepts into concrete data visualization products. From these conversations I built what I’ll boldly describe as beautiful and informative data visualizations, using d3.js and cutting-edge web technologies. I maintained and extended a grammar of graphics-inspired javascript library of reusable chart components. This library enabled us to quickly prototype new interactive visualizations. I’m passionate about open source software and enjoy contributing examples and novel visualization techniques back to the broader d3.js community.

Dallas, Tx, Us

Enlink Midstream operates 9,100 miles of natural gas, natural gas liquids, and crude oil pipelines on the Gulf Coast and the Ohio River Valley. EnLink operates 16 plants that in aggregate can process natural gas at 3.6 bcf/day. EnLink is active in the liquids business as well, with seven NGL fractionators and 280,000 bbl/day net fractionation capacity. EnLink's logistics capabilities also include barge & rail terminals, product storage facilities, and an extensive truck fleet.At EnLink, I visualized data from NGL & Crude transactions to physical product flows to plant operations. EnLink's data analysis technology stack was Tableau, R, d3js, as well as some custom tools for presentation. We worked with data from Microsoft SQL Server, Oracle databases, and a variety of unstructured and time series data sources. At the margins of these systems, spreadsheet and text-wrangling tools are very useful - here we frequently used RStudio, SublimeText, Excel, Atom, and IPython Notebook.To give measurement analysts in the field insight into the quality of trucked Y-Grade product over time, I built an interactive graphic that shows historical molecular composition volume-weighted averages by geographic origin. The analyst sees a map, a chart, and a table of movements or locations that can be dynamically filtered by multiple features. Selections can be made based on any of these chart objects, and all data can be easily exported to a spreadsheet. I recently refactored the data processing pipeline for this project to so that updates can be accomplished with a single concise R script and a bit of manual geocoding. This refactoring with R reduced time to maintain this interactive tool by 96%. I was actively involved with software evaluation and selection, training and staff development, risk management, and commercial systems support.

Dallas, Tx, Us

The Houston Data Visualization Meetup is a place to share experiences with information visualization. We talk about the software tools we use and the interactive graphics that inspire us.http://www.meetup.com/Houston-Data-Visualization-Meetup/

Houston, Texas, Us

Buckeye Partners, LP is a major wholesale distributor of petroleum products to the Mid-Atlantic, Northeast, and Midwest United States. Buckeye markets gasoline, diesel, heating oil, kerosene, propane, ethanol and other biofuels through its 3.5 million barrel capacity terminal network.At Buckeye, I completed a contract project that migrated the back office settlements function from the trading business unit to a dedicated settlements accounting group. During this transition, I improved communication with the middle office and the quality of product movement data captured in RightAngle. These process improvements reduced month-end accruals significantly.At the request of the volume accounting manager I developed an automated invoice and statement generation system for Buckeye's fuel storage business. This system produced 6 staff-hours of monthly recurring time-savings. On the settlements desk, I confirmed prompt settlement of bulk sales receivable & communicated with counterparties to resolve payment issues. For rack purchases, I matched physical product movements with invoices and then tied those payments to a daily draft statement. I recorded journal entries for aggregate retail fuels credit card revenue, associated fees, and loyalty programs. At month end, I reconciled physical inventory balances at Buckeye fuel terminals with recorded balances in RightAngle.For RightAngle I developed scripts that built truck deals that from specified origin, destination, product, and pricing parameters. I created reports and wrote PowerBuilder filter expressions that allow the user to quickly focus on relevant information.

Houston, Texas, Us

Phillips 66 is an oil refining and marketing company, with significant exposure to the petrochemicals and midstream businesses via joint ventures. I managed data for wholesale refined products customers, common carriers, and distribution points for the marketing financial services business unit. I processed account setup requests for the unbranded, branded, NGL (natural gas liquids), commercial, resellers, & aviation refined products channels of trade for Phillips 66 in the continental United States. I communicated frequently with counterparts at major oil companies, distribution companies, customers, fuel carriers, and field locations. Using proprietary SAP modules and reporting tools I managed terminal access and customer records. I am conversant with proprietary Phillips 66 and third-party terminal automation systems. I used software tools to script, automate, and streamline manual processes. My process improvement efforts resulted in significant cost savings, time savings, and error reduction. I championed and implemented a process improvement that reduced customer wait times and eliminated transaction costs of more than $870k per year.

Houston, Texas, Us

ConocoPhillips is an oil & gas exploration and production company. I performed fieldwork for an operational audit of SAP middleware. I conducted user acceptance testing for product movement data feeds translated by SAP Process Integration (PI). I worked closely with business unit management and my developer counterpart in application services to refine the user acceptance test processes. I liased between the software development team and marketing financial services, my functional business unit. I reconciled test data produced by PI to the same period production data from the legacy middleware tool. My analysis of the wholesale fuels transaction data identified an opportunity to improve the PI logic to correctly interpret credit / re-bill transaction sequences. I initiated a new automated batch testing process that eliminated 48 project-hours from the user acceptance testing program. I created a quantitative reporting tool to measure the user-acceptance testing process and identify areas where further testing would beneficial.

Master'S Degree (In Progress), Computer Science

Education record