Jas “like Jazz🎺 music” is a data scientist with 5+ years of experience on the modeling team at Cardinal Path - a leading marketing analytics consultancy. He was the 1st employee in the data science department and helped build it from the ground up with a focus on reproducibility. As a full stack data scientist, he leads end to end projects from gathering requirements from clients, building data pipelines, training machine learning models, and finally visualizing and presenting results. Key clients include Intel, Rite-aid, Universal Music, to name a few. Over the past few years, he has specialized in multi-channel attribution, market mix modeling, and predictive modeling (both ML and traditional stats based methods).
Udacity Data Scientist Nanodegree, 2020 (in progress)
Udacity Data Analyst Nanodegree, 2015
John Hopkins Data Science Specialization, 2014
Bachelor of Business Admin: Finance, Management Information Systems, and Entrepreneurship, 2009
Simon Fraser University
ADVANCED - 93rd percentile for R programming and 86th percentile for Data Manipulation as per Datacamp assessment
INTERMEDIATE - 58th percentile for Python programming and 76th percentile for Data Manipulation as per Datacamp assessment
ADVANCED - 97th percentile for SQL as per Datacamp assessment. Use Google BigQuery on a daily basis.
Google Cloud, Azure, AWS. Google Cloud Certified (2x)
Led and championed implementation of Bitbucket (Git) version control throughout Cardinal Path’s Data Science department
R and Python stats packages - Experience with Descriptive Statistics, Inferential Statistics, Multiple Linear Regression, Logistic Regression, ARIMA Time Series Forecasting, Correlation Analysis, Factor Analysis, and more
ggplot2 (R), Google Data Studio, Tableau
Below is an explanatory plot recently developed for a client. They asked me to forecast their estimated data storage costs in Google BigQuery:
Here is another custom plot I created in R called a waffle chart. It was used to communicate the sparsity of the data and why this particular dataset was not useful for modeling (light grey squares are days with no data):
Triplebyte provides technical hiring solutions. The company offers online coding tests and subsequent technical interviews to help screen candidates for prospective employers. Here are the results of a recent assessment:
“There is no marketer at [CLIENT X] who doesnt know your name, as Im always quoting you or asking for your help. You are amazing at what you do, thank you for putting up with our repetitive questions :)"
Built a currency exchange R script for a SQL Server database running in Microsoft Azure.
On behalf of Google, presented to dozens of CMOs from around the world as a SME on Customer Lifetime Value
Lighting Talk at VanPy Day
When there is snow and ice, getting around can be difficult, especially for seniors and people with limited mobility.
When it snows we help match-up people throughout Vancouver who have limited mobility with neighbours willing to lend a hand to remove snow and ice outside their homes.
Mentored students working in R and Python on best practices as well as providing tips on presenting their results to the judges (which I was later in the day).
The aim of the hackathon was to provide an outlet for students to improve and display their skills in analytics and sport, while connecting them with professionals and researchers from sports analytics.
Jas “like Jazz🎺 music” is a data scientist with 5+ years of experience on the modeling team at Cardinal Path - a leading marketing analytics consultancy. He was the 1st employee in the data science department and helped build it from the ground up with a focus on reproducibility. As a full stack data scientist, he leads end to end projects from gathering requirements from clients, building data pipelines, training machine learning models, and finally visualizing and presenting results. Key clients include Intel, Rite-aid, Universal Music, to name a few. Over the past few years, he has specialized in multi-channel attribution, market mix modeling, and predictive modeling (both ML and traditional stats based).
Prior to Cardinal Path, Jas worked in sales and supply chain for a leading ecommerce startup, BuildDirect.com technologies. He honed his business acumen and worked with the COO to build up the new Inventory Department.
He was one of the 1st students to complete the John Hopkins Data Science specialization where he first learned R and built a natural language model (bag of words) to predict what a user would type next. He then completed 7 projects as part of the comprehensive Udacity Data Analyst Nanodegree program taught by experts from Google, AirBnb and other industry insiders. He now regularly contributes to several open source R projects in particular the googleAnalyticsR package where he is a named contributor.
If you haven’t noticed yet, Jas is a R ninja (this website was fully built in RStudio), a slick SQLer, and a Python pro. He’s also a bit bashful about his brilliant bash scripting skill.
On a more personal note, he’s an avid skier, hiker, and a motorcyclist.
I’m born and raised in Vancouver, Beautiful British Columbia, Canada
Sikhism, from Sikh, meaning a “disciple”, “seeker,” or “learner”, is an Indian monotheistic religion that originated in the Punjab region of the Indian subcontinent around the end of the 15th century.
I played basketball in high school and it is my favorite sport.
It has been over 5 years since I made one of the best decisions of my life; took a leap of faith and changed careers from Supply Chain to Data Science.
I’m an advocate for Inbox zero. This is a rigorous approach to email management aimed at keeping the inbox empty – or almost empty – at all times.
I base jumped off Auckland Sky Tower during my trip to New Zealand in 2015.
I’m a regular hiker; my favorite hike was Black Tusk near Whistler, BC
When I’m not hiking, I’m probably skiing. My favorite local mountain in Vancouver is Cypress.
My favorite video game at the moment is PlayerUnknown’s Battlegrounds (PUBG) an online multiplayer battle royale game on tbe Xbox.
I ❤️ spicy foods!
🍕 is my favorite food!