will-fong Goto Github PK

followers: 8.0 following: 50.0 repos: 30.0 gists: 19.0

Name: Will Fong

Type: User

Company: @purestorage, @PureStorage-OpenConnect, @portworx, @sfu, @EY-Data-Science-Program

Bio: Learning space for a data and analytics professional

Location: Canada

Blog: https://www.codewars.com/users/will-fong

Hi there, friend 👋

I'm a Technology Consultant based out of Vancouver, Canada.

What's going on?

📌 Completing and collaborating with peers on data pipelines in the Data Engineering Zoomcamp by Data Talks Club
📈 Validating the predictions of experts in NFL data with Postman and APIs to determine which experts are the real deal and who's all talk
✨ Focusing on data science and analytics by identifying an interesting problem or need to modelling the right solution

Get to know me better

🏢 I'm currently working at EY
⚙️ Here is a peek at my skillset: Python, SQL, Databricks, Azure ML, TensorFlow, Celonis, Alteryx, Jira, Docker, Postman
🌍 I'm mostly active within the Machine Learning Community
💬 Let's talk about data science, analytics, machine learning, data engineering
📫 Reach me at linkedin.com/in/iamwillfong/
⚡️ Fun fact: I'm really into music and the audiophile community
🤔 I’m refining my DAX skills to build out a Power BI dashboard to help the tech community
🌱 I'm studying the submissions and insights gleamed from the NFL 2021-22 Big Data Bowl

Will Fong's Projects

8-week-sql-challenge

Case study solutions for #8WeekSQLChallenge at https://8weeksqlchallenge.com

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

best-readme-template

An awesome README template to jumpstart your projects!

data-science

A collection of neat and practical data science and machine learning projects

fastbook

The fastai book, published as Jupyter Notebooks

forensic-accounting

Using a forensic accounting technique on SAP data, there is evidence that almost 50 vendor payments worth nearly $4 million are irregular and should be investigated further.

github-issue-templates

:symbols: A collection of GitHub issue and pull request templates

instacart_online_grocery_shopping_analysis

Instacart’s data science team plays a big part in providing this delightful shopping experience. Currently they use transactional data to develop models that predict which products a user will buy again, try for the first time, or add to their cart next during a session.

just-pandas-things

An ongoing list of pandas quirks

katacoda-scenarios

Katacoda Scenarios

landing

ml-basics

Exercise notebooks for Machine Learning modules on Microsoft Learn

mlopspython

open-product-management

A curated list of product management advice for technical people.

open_source_demos

A collection of demos showcasing automated feature engineering and machine learning in diverse use cases

power_bi_it_salaries

Analysis of US salaries by job title and metro area in Power BI

prohack-solution---d1d-team

Our solution to the data science hackathon by McKinsey, Prohack by our team D1D, which was ranked 4th on public leaderboard and 25th on private leaderboard.