Education
Dartmouth College
2015
BA Economics
BA History
Springboard
2018
Data Science Career Track
Quantic School of Business & Technology
2020
MBA
What I'm About

A precocious generalist, straddling the line dividing data and dollars, looking to indulge both.

Skills
Programming: Python, multiple SQL flavors, Visual Studio, Jupyter Notebook, pandas, numPy, R, R-Studio, Google Colab, LaTeX
Machine Learning: scikit-learn, nltk, gensim, TF-IDF, LDA, Time Series, Anomaly Detection, Prophet, NetworkX, SVM, OpenCV, Keras, UMAP, Clustering
Data Visualization: Plotly, Bokeh, matplotlib, seaborn, ggplot, Power BI, Tableau, DOMO, Holoviews
Soft: the written and spoken word, endless examples of emergent leadership, comfortable with risk, instincts for the dollar, Data to English translator
Intangibles
The Mendoza Tax · Dartmouth Economics Department

A one-point fine for every exploitative question asked during an economics exam, hailed by my professor as "one of the most effective applications of economics principles to a real world problem that [he's] ever seen."

Conference Speaker · Springboard

Speaker at the 2019 & 2020 RISE conference for aspiring data scientists and UI/UX designers. Community Member of the Month for December 2018.

Dartmouth Admissions Ambassador · Alumni Interviewer: South Texas

Interview Dartmouth applicants in South Texas and provide general mentorship after admittance.

Featured Projects
Oil & Gas Workforce App
Sept. 2018 to Sept. 2019

  • Researched, roadmapped, budgeted, and executed work to construct a mobile workforce management application for oil production pads.

  • Gathered user requirements, reconciled it with the data inventory, brainstormed with design to find the best presentation of our models, wrote code along side development, and led data science communication to the client.

  • Responsible for predicting false telemetry alerts, topic modeling around user-generated comments, and calculating comment embeddings for more useful labeling for a highly-specific dictionary of technical jargon.

  • Wrote a white paper as a client deliverable and an external sales artifact.

Sogo Shosha Digital Transformation
Jan. 2020 to Current

  • Actively consulting across the entire conglomerate to find efficiencies at individual companies, their umbrella organizations, and their larger business units.
  • Collaborating with, learning from, and teaching every tier of their organizational hierarchy, ranging from individual contributors to the head of the American division.
  • Directly delivered code, reports, and recommendations to their energy trading firm, tire wholesaler, chemical company, international food distributor, and their respective governing entities.
  • Transcribed energy trading business rules into a custom algorithm that calculated profit and loss, tracked value at each auction point, and set up a framework to use ML to optimize bids, quantify a node’s network effect, and predict future trade value.
  • Part of a team that built a computer vision prototype for document data extraction.

JIRA Project Estimation
2020
Employment
HyperGiant
Austin, TX
Data Scientist
Aug. 2018 to Current

  • Consulting experience spanning international conglomerates and start ups, commercial real estate and chemical manufacturing, and the public and private sector.

  • Direct experience working with time series data, logistics and supply chain data, natural language text, image processing, and open source data ingestion.

  • Collaborating with cross-functional teams: designers to establish use cases for the end user, back-end developers to organize and retrieve data, front-end developers to visualize insights, project managers to plan sprints and budget future phases, and product owners to manage sprints and client relationships throughout the project lifecycle.

  • Leading team of Data Scientists roadmapping and budgeting future deliverables during discovery and definition engagements.

  • Moonlighting, at various points, as a Business Analyst, Sales Engineer, Market Researcher, Project Manager, Product Owner, and referee.

BNY Mellon
Dallas, TX
Business Analyst
May 2017 to Feb. 2018

  • Provided data thought leadership for various efforts tracking millions of mortgage loans.

  • Maintained R scripts for various categories of data requests servicing multiple departments and levels in the organization.

  • Consulted on database construction meetings, translated business requirements to technical definitions, and liaised between the database engineer and upper management.

NorthStar Anesthesia
Irving, TX
Operations Analyst
Mar. 2016 to Mar. 2017

  • Conceived, executed, and managed the deployment of automated Operating Room Utilization reports that resulted in $500,000 in additional billing in its first six months.

  • R scripts queried each database, processed the data using a custom algorithm replicating business definitions, and presented R-generated visualizations in Power BI.

  • Used this template to perform targeted analyses of facilities and recommend potential efficiencies if the financial, operational, and political environment allowed it.