Profile

Strengths include data-driven and analytical problem solving, quick learner, professional writing capabilities, excellent time management and prioritization, effective communication skills, self-motivated, and a team player.

Technical Proficiencies:

  • Programming in Python & R
  • Machine Learning & modelling with random forests, kNN, ensembles, SVM, linear regression, GLM, unsupervised clustering (k-means, k-medians), NLP, Naive Bayes, meta-ensembles (model stacking), boosting (XGBoost), neural networks, CNNs, logistic regression, dimensionality reduction with PCA
  • Proficient with Keras and Tensorflow
  • Familiar with AWS, Docker, Codecov
  • Version control with git
  • Database management with SQL
  • Graphing in R with ggplot and shiny, in Python with matplotlib and seaborn

Business Proficiencies:

  • Experienced in Microsoft Office, Adobe Illustrator & Photoshop, CRM tools
  • Experienced in identifying and creating cost-effective strategies to improve online communication with customers
  • Report creation and presentation of conclusions to an audience or team (technical or non-technical audiences)
  • Ability to collaborate with internal and external stakeholders to streamline communication and ease job completion

Education

University of British Columbia | Master’s in Data Science | 2019

Skills Acquired:

  • Language Specialties: Python, R
  • Data Wrangling: SQL, Excel, APIs, web scraping (HTML & JSON)
  • Supervised & unsupervised machine learning
  • Linear and non-linear modelling
  • Statistical modelling
  • Data visualization and results reporting tools in R & Python
  • Deep learning with neural networks and CNNs
  • Basic natural language processing
  • Version control with Git and Github
  • Use of AWS, Docker, Codecov

Capstone Project:

  • Partner company: Tetrad
  • Team size: 4
  • Project scope: Predict the success of a potential new franchise location for a restaurant chain.
  • Language used: R
  • Project description:
    • Supervised learning project that uses data from current open franchise locations and predict whether a new location is likely to perform above average or below average compared to the other franchise locations.
    • Algorithm scans through thousands of data variables (demographic and business-related information) to select variables most predictive of success/failure for the company.
    • Meta-ensembling (model stacking) used to produce most accurate results, prevent overfitting and alleviate biases that occured using only one algorithm.
    • Produces a report that estimates the quality of its predictions using statistical error measurements.
  • My role: Primary developer of our variable selection, stacked model, and report generator scripts.
  • Note: Certain details of this project are protected by an NDA, but I am happy to answer questions about our project approach, steps taken in problem solving, and methods/algorithms used.


University of Idaho | B.S. Marketing | B.S. Human Resources Management | Minor in Advertising | 2015

Honors:

  • Summa Cum Laude
  • Dean’s List 2011-2015
  • Recipient of the 2013 Alumni Award for Excellence

Curriculum:

  • Coursework in marketing management, pricing, production, human resources hiring, interpersonal management, teamwork
  • Integrated business curriculum included additional coursework in finance, accounting, project management, and information systems

Work Experience

Silvercreek Realty Group | 2015 – 2018 | Marketing Associate
  • Responsible for tracking internal recruiting and retention statistics and identifying areas for improvement.
  • Track and report monthly, quarterly, and yearly brokerage sales statistics.
  • Responsible for communication between the brokerage and the 1200+ real estate agent contractors.
  • Responsible for designing and creating campaigns for both the recruiting and the retention of real estate agents.
  • Social media manager.
  • Assist in website design and development for both the internal and external brokerage websites.
  • Core team member for the development of a 14-week agent training program and ongoing manager responsible for the distribution of the program.


Schweitzer Engineering Laboratories | 2014 – 2015 | Human Resources Intern
  • Conducted job and reference interviews. Compiled the data and evaluated how to proceed with each candidate based on both organizational values fit and technical abilities.
  • Primary contact for job candidates and acted as a communication/planning liaison between hiring teams and candidates.
  • Worked with multi-department teams to coordinate staff throughout the hiring process.
  • Developed training documents and mentored new interns.
  • Responsible for data management.

Activities & Honours

Professional Track & Field Athlete | 2015 – Present
  • 2017 Team Canada Athlete | 3,000m Steeplechase | 2017 IAAF World Championships – London, UK
  • 2016 Olympic Trials Qualifier & Olympic Time Standard Qualifier | 3,000m Steeplechase
  • Skills Developed:
    • Superior time management
    • Effective goal setting (short and long term), planning, and budgeting
    • Ability to work as a team or as an individual to reach a goal
    • Ability to perform under stress


OTFC Website Manager (Volunteer) | 2017 – 2018
  • Responsible for the website upkeep of Oceanside Track and Field Club (Youth club based out of Parksville, BC)


NCAA Division I Cross Country and Track & Field | University of Idaho | 2010 – 2015
  • 2014 and 2012 USTFCCCA Division I All- Academic Honoree
  • Seven-time All-Conference Academic Honoree
  • Four-time NCAA Preliminary Rounds Track & Field Championships Qualifier and 2015 Semi-Finals Qualifier
  • Nine-time First Team All-Conference and Four-time Second Team All-Conference


Delta Zeta National Sorority | Active Member: 2011 – 2014 | Alumna: 2014 – Present
  • Founding Mother of the Pi Kappa Chapter at University of Idaho
  • Key committee member responsible for revision of chapter bylaws in 2014