Byheir Wise

• Own end-to-end design, delivery, and maintenance of Power BI and SQL-based reporting solutions across collections, fraud, compliance, and servicing domains — supporting 1,000+ business users with real-time visibility into operational KPIs.
• Write and optimize advanced Snowflake SQL queries powering executive dashboards, reconciliation reports, and operational analytics in a federally regulated student lending environment.
• Partner directly with product, operations, compliance, and senior leadership to translate ambiguous reporting needs into scalable BI solutions, standardized KPI definitions, and documented reporting frameworks.
• Reduced manual reporting effort by 60% by automating recurring data pulls, transformations, and report generation in Python — freeing the analytics team for higher-value strategic work.
• Built and maintained data pipelines integrating Python, Snowflake, and SQL that power automated documentation and QA workflows — improving data accuracy, audit readiness, and pipeline reliability.
• Designed an AI-augmented testing platform that generates Snowflake test cases from structured inputs across six categories — accelerating data validation and reducing manual QA cycles in production reporting pipelines.
• Ship full-stack engineering work across collections, fraud, and money-movement domains using Python, TypeScript, and React — bridging product gaps for internal stakeholders.
• Own Infrastructure-as-Code and CI/CD discipline for analytics tooling — applying enterprise-grade release practices (branch review, change auditing, merge controls) to BI deliverables.
• Drive internal adoption of analytics tooling: communicate platform capabilities, train downstream users, and position BI as a self-service resource across the organization.
• Plan and prioritize the reporting roadmap in partnership with stakeholders; communicate progress, risks, and tradeoffs clearly and consistently to business and technical leadership.
• Maintain compliance with regulatory, data security, and audit standards across all analytics deliverables in a federally regulated financial services environment.

• Worked directly in the contact center to understand agent workflows and customer behavior.
• Built a strong base in regulatory rules, call handling standards, and data privacy controls.
• Used that frontline experience to later shape the tools built for those same agents.
• Managed sensitive customer data with consistent adherence to internal and external rules.

• Problem: a multi-partner book of business tracked across spreadsheets, CRMs, and ad-hoc reports — no shared view of portfolio health or partner engagement.
• Approach: shipped a relationship-analytics PWA with portfolio health scoring, KPI dashboards, account intelligence, and AI-generated executive comms — built solo end-to-end.
• Decision: chose a zero-infrastructure serverless stack (GitHub Pages + Cloudflare Workers with secure API proxying) so the team can own the platform without standing up ops or paying for unused capacity.
• Stack: React 18, Vite, Recharts, Cloudflare Workers, Claude Sonnet 4.

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• Problem: reporting pipelines kept accumulating validation debt — one-off checks, ad-hoc fixes, no audit trail when downstream numbers shifted.
• Approach: architected a multi-stage data-validation and report-generation platform with automated quality gates and an audit trail at every step.
• Decision: wired GitHub, Supabase, and external AI APIs into a CI/CD-style release flow with branch review, change auditing, and merge controls — applying enterprise release discipline to analytics tooling.
• Stack: Python, Snowflake, Supabase, GitHub Actions, AI APIs.

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• Problem: tracking workouts, finances, and nutrition meant juggling disconnected apps with no shared data layer or trend visibility.
• Approach: built a three-app analytics PWA suite (IronLog, FinanceLog, NutritionLog) on a unified Supabase backend with SSO and real-time data sync.
• Decision: layered session-level monitoring and feature-effectiveness tracking on top so each app generates product analytics that feed back into the next iteration.
• Stack: React 18, Vite 6, Supabase, Vercel, Cloudflare R2, PWA.

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