Product Manager with a background in business operations, e-commerce, data analytics, Python development, and process automation.
I turn customer needs, operational challenges, and data into structured product requirements, practical workflows, and measurable business solutions.
My experience spans customer-facing sales, distribution and e-commerce operations, data analysis, Python development, and end-to-end digital product delivery.
I use this combination to understand business problems, structure requirements, work with data, improve processes, and collaborate across commercial, operational, and technical teams.
The projects below show how I turn ideas and operational needs into analytics platforms, automated workflows, decision-support products, and user-facing business systems.
Debt analytics, acquisition review, and collections strategy platform with import validation, risk scoring, valuation workflows, dashboards, reporting exports, and next-best-action planning.
Dashboard, valuation, and collections strategy preview
Portfolio import, debtor scoring, valuation logic, collector queue review, strategy simulation, dashboards, exports, and API-driven reporting built as one decision-support product.
Live demo: first load may take 20-30 seconds.
Customer churn and revenue-risk intelligence platform for customer scoring, revenue exposure analysis, monitoring, and protected browser-based review workflows.
Executive dashboard preview for churn scoring and revenue-at-risk monitoring
Built to turn churn prediction into operational decision support through customer risk scoring, revenue-at-risk outputs, monitoring workflows, and internal control surfaces.
Machine learning system for fraud prediction, expected loss estimation, monitoring, API scoring, business-facing reporting, and production-style risk review workflows.
Concept preview for fraud scoring, monitoring, and reporting
Real-time fraud scoring, expected loss estimation, monitoring workflows, and business-facing reporting brought together in one operational risk review product.
Automated data quality monitoring pipeline with PostgreSQL checks, Excel reporting, email alerts, scheduler support, and Power BI-ready outputs.
Power BI quality monitoring dashboard preview
Built to automate data quality checks, execution logging, Excel reporting, alerting, and business-facing monitoring from one production-style pipeline.
Automated KPI reporting pipeline that extracts PostgreSQL data, validates and transforms it in Python, emails Excel reports, and feeds Power BI dashboards.
KPI reporting and executive dashboard preview
Designed to replace manual KPI reporting through scheduled extraction, data validation, formatted Excel delivery, and direct Power BI visibility.
Python and Selenium automation pipeline for secure browser login, data extraction, pandas processing, Excel reporting, and batch execution workflows.
Browser automation and reporting workflow preview
Automates a representative operational workflow with secure login, data capture, transformation, report generation, and execution logging.
Online bookstore with catalog, search, cart, orders, discount logic, and customer-facing e-commerce workflows and storefront interactions.
Homepage preview of BookZone
Catalog browsing, search, cart behavior, checkout flow, and store administration combined into a complete e-commerce experience.
Event platform with ticket sales, online payments, seat selection, map logic, QR validation, and structured event booking workflows.
Homepage preview of EventHub
Ticket sales, seat selection, payment flow, and QR-based event entry brought together in one structured event platform.
Internal food ordering system built for the Bulgarian company Matraci Paradise, with quantities, limits, permissions, and admin summaries.
Menu and ordering preview
Internal ordering workflow built for Matraci Paradise, combining daily menu operations, quantity limits, permission rules, and admin reporting for practical day-to-day use.
Product Management
Product requirements, prioritization, stakeholder coordination, product operations, and data-informed decisions
Business & Product Operations
Customer needs, commercial workflows, operational analysis, process improvement, and cross-functional execution
Data & Analytics
Python, SQL, KPI logic, reporting, dashboards, analytics workflows, and decision-support products
Process Improvement & Automation
Scheduled jobs, reporting automation, monitoring flows, internal process logic, and browser-based workflows
Product Engineering
Python, Django, FastAPI, JavaScript, REST APIs, responsive interfaces, admin flows, and business logic
Data & Reporting Systems
PostgreSQL, structured data models, analytics marts, Excel reporting, Power BI, and monitoring-ready data layers