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Jas Sohi

Jas Sohi

Jr. Analyst, Data Science

Cardinal Path

Vancouver, Canada Area

Hi, my name is Jas as in "Jazz"​ music! I'm a problem solving, big picture thinker, and team player with a strong technical background; I'm a logical thinker who works well with data and who always uses the appropriate technology to aid in decision making. I'm very adaptable and considered by many as a jack of all trades; h...





Cardinal Path

Jr. Analyst, Data Science

The Jr. Analyst is responsible for working directly with the Associate Director, Data
Science & Engineering to develop analytics strategies for our clients working in a wide
variety of domains.

■ Translate data into analytical outputs that enables our clients to answer fundamental questions that are central to their business success.

■ Synthesize business needs and create business/functional design documents which can
be used to build analysis and data models around.

■ Develops, implements, and supports methodologies, standards, and tools for analysis and
data science work.

■ Creates strategy for analytical dataset design and work with the lead engineer to develop repeatable code processes for analysis that takes data from multiple sources.

■ Partners with implementation leads from the Digital Intelligence team as well as
engineering staff & statisticians within Cardinal Path to help deliver quality insights.

■ Perform exploratory data analysis under the guidance of the Associate Director, Data
Science & Engineering.

■ Build cooperative, productive relationships with clients and vendors by utilizing excellent
communication skills, while also interacting effectively internally and externally.

■ Participate in analytical product roadmap discussions while also identifying key areas for
improvement of products and services.

■ Research, prototype, and explore future, non-standard analytics approaches that push the
limits of current analysis output. This will include exploring novel machine learning
techniques which enable our teams to tackle segmentation, clustering, and predictive
models used in a wide variety of areas.

Career medium 04


Udacity Code Reviewer

Being part of Udacity's 1st ever Data Analyst Nanodegree cohort, I was selected to be one of the very first Udacity Code Reviewers. I review student project submissions (Python & MongoDB) and do both a thorough code review as well as a project evaluation. I strive to give actionable and helpful feedback to students while also improving my code reviewing skills.

Career medium 02