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RESUME

Anchor 1
Education
University of Texas at Austin
Master of Science in Business Analytics

​2019 - May 2020

 

Coursework focuses on advanced machine learning techniques, supervised and unsupervised learning, database management, marketing analytics and data-driven decision making.

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Capstone (Dell): Analyzing historical workforce capacity and developing a predictive model to calculate future capacity.

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Cumulative GPA: 3.8 / 4.0

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University of Queensland (Australia)
Bachelor of Economics
Bachelor of Finance

2008 - 2012

 

Graduated on Dean's List for academic performance

Employed as Economics teaching assistant 1.5 years

Employed as Statistics tutor 2.5 years
Recipient of 5 bursaries for academic performance and contribution to university life

University scholarship

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Overall GPA: 3.8 / 4.0

Languages

Python

R

SQL

Anchor 2
Work​
experience​
Strategy & Analytics Consultant
Private Contractor

​2018 - 2019

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  • Performed the data analytics capability on digital transformation programs targeting $25m in benefits, including:

    • Built a baseline dataset that consolidated people (16k staff), finance ($1B opex) and operational data

    • Developed analytic models to size $25m in benefit opportunities using economic forecasts and SME inputs

    • Detailed the roadmap to implement $25m of benefit initiatives and build a more innovative company culture

    • Communicated analysis to senior stakeholders such as the COO and VPs

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https://www.ventia.com/capabilities/ventia-pulse

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Head of Analytics
Digivizer

2016 - 2018

 

  • Developed advertising strategies for c.$3M worth of campaigns using NLP, channel and customer segment analysis

  • Managed delivery of 20+ client reports valued at $60K in total each month with a team of 5 analysts

  • Conducted A/B testing on advertising campaigns to optimize targeting, creative assets and messaging

  • Set company priorities, measured progress against OKRs and oversaw rapid growth of 35 to 70 staff and 3x in revenue

  • During tenure Digivizer awarded:

    • 2017 Smart50 Award (for 15th fastest growing small/ medium AUS business)

    • 2017 BigInsights Data Innovation Award for Best Industry Application of Data Analytics

    • 2017 BigInsights Data Innovation Award for Best Customer Insights

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https://digivizer.com/

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Strategy & Analytics Consultant
PwC (Strategy&)

2012 - 2016

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  • Conducted data analytics across an array of complex and unstructured problems, including:

    • Re-designed a company’s structure, processes, KPIs and culture to enable $300M in cost reductions (Energy)

    • Implemented the cost reduction initiatives I developed to achieve initial cost reductions of $25M (Energy)

    • Conducted the analytics to size benefit drivers for a $350M digital transformation program (Finance)

    • Built a classification model that identified high risk entrants to Australia using 85M data points (Immigration)

    • Forecasted operating costs for three Navy vessel classes over a ten-year horizon (Defense)

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https://www.strategyand.pwc.com/

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Anchor 3
DS Projects
Capstone - Dell

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Analyzed historical Solution Architect performance and developed a model to predict future utilization of Solution Architects, including:

  • Cleaned dataset comprising two years of custom solution deal workflow

  • Tested for patterns in missing data and used several imputation methods to fill nulls

  • Determined the historical utilization of Solution Architects and identified indicators of performance

  • Developed predictive models to estimate Solution Architect capacity requirements under different business assumptions including XGBoost

  • Python​

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Bias in Machine Learning - Neural Network

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  • Built a CNN model to predict age and gender from facial images

  • Identified and corrected biases against under-represented demographics using polynomial regression, KNN and random forest models

  • Python

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Bipartite Recommender System  

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  • Visualized a bipartite network of 500,000 Amazon Kindle book reviewers and books

  • Used network measures such as degree, betweeness and closeness centrality to identify influencers in the network

  • Build a recommendation system leveraging network similarities and compared with a one mode recommender system

  • Python and Gephi

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Hierarchical and Clustering Modelling  

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  • Analyzed 20,000 survey real-world survey responses regarding car brands, prices and features

  • Implemented Hierarchical Bayes to develop individual utility functions and feature importance scores

  • Used K-means clustering to create customer segments with unique advertising recommendations

  • R

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Twitter NLP Analysis 

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  • Conducted topic, sentiment and location analysis to measure NFL fandom across the US and other English speaking countries

  • Python

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