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Data Analyst Machine Learning

Toronto, ON, Canada
January 30, 2024

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Toronto, ON



Bachelor of Science

Computer Science

University Of Madras

**** - ****

Chennai, INDIA


Data visualization


Advanced Excel

Web analytics

Python & R

Data manipulation

Statistical analysis

Machine learning


Data Analyst


2021 - 2022 / Calgary, AB

Conducted exploratory data analysis to uncover meaningful patterns that led to a 26% increase in customer engagement.

Predicted customer behavior to personalize marketing strategies, contributing to a 17% increase in retention.

Integrated diverse data sources, allowing for a holistic view of marketing performance and driving innovative initiatives.

Championed the use of creative data storytelling techniques, which improved stakeholder engagement by 63%.


Metro Logistics

2019 - 2021 / Calgary, AB

Built out the data and reporting infrastructure from the ground up using Tableau and SQL to provide real-time insights into the product, marketing funnels, and business KPIs

Implemented long-term pricing experiment that improved customer value by 25%

Built operational reporting in Tableau to find areas of improvement for contractors resulting in $250K in annual incremental revenue Collaborated with product managers to perform cohort analysis that identified an opportunity to reduce pricing by 22% for a segment of users to boost yearly revenue by $730K

Developed and owned reporting for a nationwide retention program with Python, SQL, and Excel, saving ~90 hours of monthly labor Identified procedural areas of improvement through customer data, using SQL to help improve the profitability of a nationwide retention program by 8%

Applied models and data to understand and predict repair costs for vehicles on the market, and presented findings to stakeholders Data Analyst Intern

Calgary Co-operative Association Ltd

2018 - 2019 / Calgary, AB

Data Analyst


Developed interactive data visualizations that improved stakeholder understanding by 41%.

Utilized web analytics tools to track website performance, optimizing the interface to reduce bounce rates by 33%.

Collaborated with cross-functional teams to analyze customer data and increase upselling opportunities by 29%.

Implemented conversion tracking mechanisms to monitor key performance indicators and identify underperforming areas. Employed data manipulation techniques in SQL to transform raw marketing data, which improved quality by 52%.

Deployed machine learning models to predict customer behavior that led to a 19% increase in engagement.

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