About

Motivated and curiously-minded business analytics and data science student with a history of leadership and effective communication. Skilled in both qualitative and quantitative analysis with an interest to deliver actionable insight and business strategies through analytics and optimization. Looking to combine STEM background, business acumen, and analytical skills to create real-world value.

  • Birthday: 25 July 1996
  • Phone: +1 (864)-201-1719
  • City: Washington, D.C.
  • Email: ttrankle@gmail.com

Interests

Heuristics

Machine Learning

Computer Vision

Natural Language Processing

Optimization

Visualization

Algorithms

Image Processing

Education

College of William and Mary

M.S. in Business Analytics                        
August 2020 - May 2021
  • Database Management Systems
  • Optimization for Big Data
  • Machine Learning

Furman University

B.S. Double Major in Physics and Applied Mathematics
August 2015 - May 2019
  • Linear Algebra & Matrix Theory
  • Business Analytics
  • Data Structures & Algortihms

Online Certification

Machine Learning

IBM Data Science Certification

Experience

Deloitte Consulting, LLP

August 2021 – Present

Analyst Aligned to Semantic Open Source Software (SEMOSS) toolkit

  • Implemented optimization algorithms used to perform cloud migration analysis for complex systems across 12 enterprise data centers
  • Increased cyber security for federal clients by exposing Single Sign On (SSO) integration with client managed LDAP for authentication and authorization
  • Expanded open source tool’s visualization capabilities for complex network diagrams — used to enable executive level dashboarding of current IT application infrastructure
  • Constructed multiple interactive dashboard to to address the complicated relationships between client’s existing tasks. From these business intelligence tools, the client can track architecture development and requirements across the enterprise
  • Extracted and transformed multiple data sources into two core databases used across the client’s platform

Patient First

May 2021 - August 2021

Consulting Analyst

  • Cleaned, aggregated and restructured large health care data files/li>
  • Implemented new techniques for comparing the continuity of care at different health care facilities
  • Developed a neural network to predict the occurrence of an emergency department visit based on several non-identifiable features
  • Reconstructed a prior study depicting comparisons between regions and costs for a particular line of business

Riverside CEAHL

May 2021

Capstone Project

  • Analyzed business requirements and subsequently lead the design and development of the ETL process used in created the star schema
  • Developed processes for capturing and moralizing all data warehouse components unrelated to the star schema
  • Created interactive analysis in Tableau to directly answer client report requests and future proposal work
  • Generated a referenced linked report to make it easier for the client to navigate through large result set and visualizations

Ernst & Young Tax Challenge

February 2021 - May 2021

Case Project

  • Collaborated with team members to identify and extract relevant data fields from unstructured data files
  • Constructed a data modeling analysis to determine benefits of an R&D tax credit for the enterprise

William & Mary, Raymond A. Mason School of Business

August 2020 - May 2021

Graduate Assistant

  • Developed and implemented auto graders for undergraduate coding scripts
  • Provide technical, analytical, and conceptual assistance to both undergraduate and graduate students
  • Conducted statistical analysis of measures influencing performance results

Carmax Analytics Showcase

Dec 2020

Car Recommender

  • Discovered relationships between past car sales through K-Modes clustering
  • Utilized web-scrapping through python to collect additional features
  • Reduced memory consumption and improved processing speed by implementing MapReduce to pipe relationships between different data sets
  • Cleaned and processed results into concise deliverables

Mahaffey USA

August 2020 - May 2021

National Field Installer

  • Conducted operational, data management and visualization tasks for a high-level service-oriented company
  • Established clear communication between client and coworkers to mitigate uncertainty and errors to less than 5%
  • Developed solutions to unanticipated problems by attention to detail and collaboration with senior crew members

Furman University

September 2018 - May 2019

Research Intern

  • Created Raspberry Pi controller and motor calibration for hovercraft using Python
  • Evaluated propeller design, oscillatory motion, power consumption and airflow dynamics in hovercrafts to try identify dominating frequencies of basic UAV systems
  • Utilized MATLAB to prepare and conduct Fourier Analysis on recorded data

Skills

Languages and Databases

vectorlogo.zone vectorlogo.zone upload.wikimedia.org vectorlogo.zone wolfram mathematica logo vector files GNU Octave Logo

Frameworks

vectorlogo.zone Gurobi Support Portal Help Center home page vectorlogo.zone upload.wikimedia.org

Tools

vectorlogo.zone vectorlogo.zone vectorlogo.zone seekvector.logo Tableau Software Logo

Contact

My Location

DC/Arlington/Alexandria area

Social Profiles

Email

ttrankle@gmail.com

totrankle@email.wm.edu

Contact

+1 (864)-201-1719