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Fumin Sun
Junior Product Analyst specializing in AI-driven FinTech analytics
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About
Analytics-focused candidate from Street Diligence who has built operational reporting and product/engagement metrics from messy platform, Jira, and manual-log data. Stands out for turning unreliable manual processes into trusted, repeatable SQL/Python workflows that influenced staffing, weekly targets, renewal prep, and a product matching-logic fix.
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Key Strengths
- Built trusted weekly TAT reporting from messy multi-source operational data
- Strong SQL transformation skills on large status-history datasets
- Practical data quality remediation for duplicates, inconsistent IDs, and date formats
- Careful validation against source systems that caught a reprocessing timestamp bug
- Creates reproducible Python analytics workflows for recurring business use
- Translates usage-log analysis into actionable product and client success decisions
- Strong metric design for engagement and product functionality
- Uses segmentation to distinguish systemic issues from isolated cases
- Drove adoption by tying analytics outputs to operational workflows like renewals and weekly targets
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