Data Analyst Machine Learning
Resume:
CONTACT
****************@*****.***
Toronto, ON
EDUCATION
Bachelor of Science
Computer Science
University Of Madras
Chennai, INDIA
TECHNICAL SKILLS
Data visualization
SQL
Advanced Excel
Web analytics
Python & R
Data manipulation
Statistical analysis
Machine learning
WORK EXPERIENCE
Data Analyst
Kuehne+Nagel
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%.
SAP MM
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
CHITRA KANNAN
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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