Bio and Portfolio
Quick intro about myself
Self-starter individual able to apply data analytics and machine learning in finance and accounting processes to innovate where possible
Full-time parent of my siberian husky
Bachelor's of Honors Specialization in Accounting (Western University)
Data analytics and machine learning post-graduate certificate (Mohawk College)
Currently learning : neural networks conceptually and applying it on toy datasets using Keras (CNNs, RNNs)
Podcasts : Pivot, CBC Frontburner, The Strategists
Video games : Battlefield 4, Warzone, No Man's Sky, Humankind
Skills, abilities & certifications
Excellent listening and note taking ability
Desire and willingness to learn
Analytical decision making skills
Working with energy and empathy
Business storytelling skills
Good awareness of ethical concerns and stakeholder management skills
Working within tight schedules and delivering high quality results at the same time
MS Excel: SUMIF, COUNTIF, VLookup, PivotTables and Charts
MS Word, PowerPoint presentations, Git, Google Suite
Working knowledge of PowerBI and Tableau
Data analysis and cleaning in Python and R: Intermediate
Machine Learning in Python and R: Beginner (Linear Regression, Random Forests, KNearest Neighbors)
Applied ability to innovate traditional processes through digital automation and find patterns in data using machine learning
Certified Predictive Analytics Modeler : Creating Predictive Analytics Models using SPSS
Certified Business Intelligence Analyst : Building reports and dashboards using Cognos Analytics 11.0
Investment Funds in Canada from Canadian Securities Institute : In-depth understanding of the mutual funds market. Able to analyze the risk-return relationship of the investment and effectively manage client portfolios.
Examples of work
Handwritten Digits Recognition in Python
The MNIST Handwritten Digits Recognition Database is a collection of handwritten digits images. The report I have created is uploaded in PDF format and describes the dataset and the process that was used achieve the modelling results in the end. This is a fun dataset to play with and get started with computer vision Machine Learning problems. This project was completed in Python.
Netflix Movies and TV Shows Analysis Report
Conducted exploratory descriptive analysis on the Netflix Movies and TV Shows database available on Kaggle.com. Used R programming language and multiple packages to create visualizations and gather insights about the data.
Higher Education Analytics Data Competition 2021 Poster
Analyzed data sets created from open sourced data found online on the Canadian real estate market and housing affordability. The resulting poster provides recommendations on investing in the housing market and how affordability has changed due to the pandemic.
Work experience
- Jan 2022 - Present
PwC Canada
Assurance Specialist
- Jan 2021 - June 2021
H&R Block
Tax Professional
Education
- Sept 2020 - June 2021
Mohawk College
Analytics for Business Decision Making (Post Grad)
- Sept 2016 - June 2020
Western University
BMOS Honors Specialization in Accounting