Data analyst and analytics professional with 15+ years of experience gathering, manipulating, validating, analyzing, and visualizing customer, marketing, web, CRM, financial, and operational data. Strong background in Py…
Data analyst and analytics professional with 15+ years of experience gathering, manipulating, validating, analyzing, and visualizing customer, marketing, web, CRM, financial, and operational data. Strong background in Python, SQL, advanced Excel, Power BI, Tableau, reporting automation, pattern discovery, data quality checks, stakeholder presentations, and fast-cycle analytical support. Known for digging into data to find clues, explaining insights clearly, managing time-sensitive requests, and using AI and automation to improve analytical workflows.
<p>Supported CRM and customer-inquiry workflows by gathering, reviewing, and organizing incoming records so follow-up activity was complete, consistent, and visible to the business.<br>
Built admin dashboards and reporting views to monitor inquiry status, project activity, marketing performance, operational follow-up, and financial visibility.<br>
Created data-quality checks for customer, project, and marketing records; identified missing information, duplicate records, inconsistent content, and workflow gaps for correction.<br>
Prepared daily/weekly reporting and management-ready summaries that connected operational events, customer response, issue follow-up, and improvement priorities.<br>
Used AI tools to standardize proposals, website content, customer-facing materials, and campaign assets while improving consistency across multiple service brands.<br>
Supported websites and digital operations for 51landscaping.net, 51gardencity.com, 51roof.ca, and 51k.ca, strengthening process documentation and customer-facing accuracy.</p>
<p>Automated weekly performance reporting, saving 20+ manual reporting hours per week while improving consistency, timeliness, and stakeholder visibility.<br>
Analyzed web behavior, funnel activity, and conversion paths; identified a 35% conversion-lift opportunity and presented actionable recommendations to marketing and planning teams.<br>
Built predictive simulations to forecast spend requirements and support channel-mix planning with accurate, data-driven scenarios.<br>
Validated reporting inputs, reconciled performance metrics, investigated anomalies, and explained trends to non-technical stakeholders.</p>
<p>Led customer analytics projects across restaurant, healthcare, and consumer sectors, translating complex datasets into client-ready insights and recommendations.<br>
Built Python-based segmentation models to identify high-value customer groups and support more effective targeting and service strategies.<br>
Analyzed loyalty, retention, churn, POS/menu, and purchase behavior data to find patterns, performance gaps, and improvement opportunities.<br>
Facilitated client-facing discussions, presented findings clearly, and supported collaborative decision-making across teams.</p>
<p>Developed response and payment models to improve customer acquisition, targeting quality, and campaign performance.<br>
Worked with demographic, financial, transactional, and customer data; performed validation and quality assurance to support reliable analysis, targeting, and reporting.<br>
Designed and maintained compiled databases, ensuring accuracy, completeness, and usability for analytics and client delivery.<br>
Partnered with client and internal teams under deadline, balancing technical analysis, issue resolution, and practical business communication.</p>
<p>Built time-series forecasting models and recurring reports to support business planning and customer behavior analysis.<br>
Analyzed profitability, channel efficiency, logistics, inventory, and customer activity to support operational decisions.<br>
Prepared clear statistical summaries and recommendations for business stakeholders.</p>
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