Keenan Chan

Data Scientist

Hi! My name is Keenan, and I'm an ambitious, attentive and self-motivated data scientist based in Seattle, WA.

I am a graduate student in Business Analytics at the University of Washington, with 3 years of experience in data analytics in the consulting industry. I've delivered data-driven reporting and analytics solutions, presenting to senior technical and non-technical stakeholders. My work has informed market and customer strategy, influencing decisions and improving profitability for over 13 million customers. My skillset lies in data analytics, utilizing SQL, Python and BI tools like Tableau to build performant dashboards, as well as support executive decision-making.
View my resume here: resume

Skillsets

Data Experimentation

Academic experience

Machine Learning

Academic experience

Data Analytics

1.5 years of experience

Software Engineering

1.5 years of experience

Data Experimentation

Academic experience

Machine Learning

Academic experience

Data Analytics

1.5 years of experience

Software Engineering

1.5 years of experience

Data Experimentation

Academic experience

Machine Learning

Academic experience

Data Analytics

1.5 years of experience

Software Engineering

1.5 years of experience

Languages / Skills

SQL

Databricks

Python

Amazon Web Services

R

Tableau

Experience

Data Analyst II

Kin + Carta (now Valtech)

Mar. 2022 - Nov. 2023

Developed and owned Databricks ETL pipeline generating client-critical customer metrics database for 13m customers across 13 countries for a Fortune 500 food and beverage retailer. Analyzed 3 years of customer data using Databricks, encompassing more than 25m users, with a focus on drivign customer acquisition, creating and presenting strategic recommendations. Leveraged Splunk to create interactive supply chain monitoring dashboards, decreasing average client incident response time by more than 90%.

Data Analyst II

Kin + Carta (now Valtech)

Mar. 2022 - Nov. 2023

Developed and owned Databricks ETL pipeline generating client-critical customer metrics database for 13m customers across 13 countries for a Fortune 500 food and beverage retailer. Analyzed 3 years of customer data using Databricks, encompassing more than 25m users, with a focus on drivign customer acquisition, creating and presenting strategic recommendations. Leveraged Splunk to create interactive supply chain monitoring dashboards, decreasing average client incident response time by more than 90%.

Data Analyst II

Kin + Carta (now Valtech)

Mar. 2022 - Nov. 2023

Developed and owned Databricks ETL pipeline generating client-critical customer metrics database for 13m customers across 13 countries for a Fortune 500 food and beverage retailer. Analyzed 3 years of customer data using Databricks, encompassing more than 25m users, with a focus on drivign customer acquisition, creating and presenting strategic recommendations. Leveraged Splunk to create interactive supply chain monitoring dashboards, decreasing average client incident response time by more than 90%.

Analyst (Contract)

Kin + Carta (now Valtech)

Jan. 2021 - Mar. 2022

Migrated two core client APIs to AWS Lambda deployment, leveraging Terraform. Leveraged AWS tooling (DynamoDB, RDS, CloudFormation) to migrate two client-critical SQL tables totaling 350k records and maintaining database version control using Alembic. Performed exploratory data analysis using Jupyter Notebook, generating data visualisations with more than 100k records.

Analyst (Contract)

Kin + Carta (now Valtech)

Jan. 2021 - Mar. 2022

Migrated two core client APIs to AWS Lambda deployment, leveraging Terraform. Leveraged AWS tooling (DynamoDB, RDS, CloudFormation) to migrate two client-critical SQL tables totaling 350k records and maintaining database version control using Alembic. Performed exploratory data analysis using Jupyter Notebook, generating data visualisations with more than 100k records.

Analyst (Contract)

Kin + Carta (now Valtech)

Jan. 2021 - Mar. 2022

Migrated two core client APIs to AWS Lambda deployment, leveraging Terraform. Leveraged AWS tooling (DynamoDB, RDS, CloudFormation) to migrate two client-critical SQL tables totaling 350k records and maintaining database version control using Alembic. Performed exploratory data analysis using Jupyter Notebook, generating data visualisations with more than 100k records.

Data Science Intern

Legal.io

July 2019 - Aug. 2019

Built webscraper utilising BeautifulSoup, collecting hourly rate data of over 20,000 American lawyers. Performed regression analysis along with statistical model validation using Pearson's chi-square test.

Data Science Intern

Legal.io

July 2019 - Aug. 2019

Built webscraper utilising BeautifulSoup, collecting hourly rate data of over 20,000 American lawyers. Performed regression analysis along with statistical model validation using Pearson's chi-square test.

Data Science Intern

Legal.io

July 2019 - Aug. 2019

Built webscraper utilising BeautifulSoup, collecting hourly rate data of over 20,000 American lawyers. Performed regression analysis along with statistical model validation using Pearson's chi-square test.

Education

University of Washington, Michael G. Foster School of Business

Master's of Science in Business Analytics

2024 - 2025

Selected Coursework: Causal/Predictive Machine Learning, Competitive Strategy, A/B Testing, Business Analytics (Pricing Analytics, Profitability, Advertising/Promotion ROI, Customer Segmentation, Supply Chain Analytics), Data Visualization

University of Washington, Michael G. Foster School of Business

Master's of Science in Business Analytics

2024 - 2025

Selected Coursework: Causal/Predictive Machine Learning, Competitive Strategy, A/B Testing, Business Analytics (Pricing Analytics, Profitability, Advertising/Promotion ROI, Customer Segmentation, Supply Chain Analytics), Data Visualization

University of Washington, Michael G. Foster School of Business

Master's of Science in Business Analytics

2024 - 2025

Selected Coursework: Causal/Predictive Machine Learning, Competitive Strategy, A/B Testing, Business Analytics (Pricing Analytics, Profitability, Advertising/Promotion ROI, Customer Segmentation, Supply Chain Analytics), Data Visualization

University of California, San Diego

Bachelor's of Science in Mathematics - Computer Science

2016 - 2020

Selected Coursework: Data Structures, Algorithms, Software Engineering, Statistics, Game Theory, Epistemology

University of California, San Diego

Bachelor's of Science in Mathematics - Computer Science

2016 - 2020

Selected Coursework: Data Structures, Algorithms, Software Engineering, Statistics, Game Theory, Epistemology

University of California, San Diego

Bachelor's of Science in Mathematics - Computer Science

2016 - 2020

Selected Coursework: Data Structures, Algorithms, Software Engineering, Statistics, Game Theory, Epistemology

Let's work together!

Excited to meet people and talk data. Let's connect!

E-mail

keenanjchan@gmail.com

Phone

(858) 888-2252

Schedule a call

Let's work together!

Excited to meet people and talk data. Let's connect!

E-mail

keenanjchan@gmail.com

Phone

(858) 888-2252

Schedule a call

Let's work together!

Excited to meet people and talk data. Let's connect!

E-mail

keenanjchan@gmail.com

Phone

(858) 888-2252

Schedule a call

Built in Framer · ©2025 Keenan Chan

Built in Framer · ©2025 Keenan Chan

Built in Framer · ©2025 Keenan Chan