c
chernyshenkomik

ChernyshenkoMik

@chernyshenkomik

Product Analyst

Spagna
Inglese, Russo
Alcune informazioni sono riportate in lingua inglese.
Chi sono
I am a Product Analyst with nearly 3 years of experience specializing in high-volume B2C subscription platforms and telecommunications. I bridge the gap between behavioral event streams and revenue by building metric trees, designing churn models, and managing full-cycle A/B experimentation.... Continua a leggere

Competenze

c
chernyshenkomik
ChernyshenkoMik
offline • 
Tempo di risposta medio: 1 ora

Consulta i miei servizi

Analisi del prodotto
I will analyze your customer churn, build retention cohorts, and boost ltv
Analisi BI
I will build executive power bi dashboards and track core business kpis

Esperienza lavorativa

Self_employed / Freelance

Product Analyst

Self employed / Freelance • Full time

Oct 2025 - Aug 2026 • 10 mos

Product Analyst in a major digital TV and OTT streaming Russian ecosystem named as Tricolor TV (B2C subscription model) with more than 18 million subscribers. Owned product analytics, churn factor modeling, and incident user experience from end to end. Key Responsibilities & Impact: • Churn Mitigation & Incident UX: Systematized continuous monitoring of user experience during technical outages and access disruptions. Developed an outbound communication strategy driven by an original multi-factor feature matrix, reducing post-incident technical churn by 11% within 7 days of service restoration. • Factor Modeling & Predictive Analytics: Designed and deployed a multivariate customer churn factor model using Python and SQL to monitor anomalies, behavioral drop-offs, and early churn indicators across an active base of 1M+ subscribers. • Market Intelligence & Competitor Benchmarking: Automated external competitive data pipelines to analyze rival pricing, regional market penetration, and promotional campaigns, directly shaping dynamic retention offers. • Experimentation & Analytics Infrastructure: Designed full-cycle A/B tests (from identifying friction points to statistical testing and defining product iterations). Refactored mission-critical SQL scripts, built cohort churn Power BI dashboards, and accelerated ad-hoc business request turnaround by 35%. • Custom Data Visualization: Built publication-grade analytical charts in Python (Matplotlib/Seaborn) with automated dynamic re-scaling and branding guidelines alignment for executive decision-making.

Tele2

Product Analyst

Tele2 • Full time

Jan 2024 - Oct 2025 • 1 yr 9 mos

Led product analytics, unit economics, and cross-functional operations across 3 high-impact network modernization and subscriber technology migration initiatives. Built analytics pipelines and team processes from scratch. Product Analytics & Quantitative Modeling: • Project Economics & Metric Trees: Formulated complete project economics from launch; built comprehensive metric trees mapped to business goals and departmental KPIs; automated executive reporting across all funnel stages. • Core KPI Tracking: Built real-time Power BI monitoring systems for key product metrics: Churn Rate, Conversion Rate (CR), NPS, ARPU, and Customer Lifetime Value (LTV) etc. • Longitudinal Cohort Analysis: Developed an algorithmic comparison framework analyzing behavioral differences between active and churned subscribers over a 2-year lifecycle, cutting churn in high-risk segments by 14% via hyper-personalized retention mechanics. • Dedicated 60+ Demographic Program: Built zero-to-one product analytics for an underserved senior cohort (60+); beat quarterly migration targets by 4% (Q1), 5% (Q2), and 11% (Q3) while slashing YoY technical churn by 37%. • Outbound Communications & Upselling: Overhauled direct customer outreach scripts and support workflows, reducing marketing churn by 27%, technical churn by 15%, and lifting value-added service upsells by 32%. • User Research (DAU/MAU): Conducted quantitative and qualitative user research on overlooked cohorts to uncover engagement bottlenecks, protecting user retention and increasing active engagement (DAU/MAU). Project Management: • Cross-Functional Coordination: Synchronized workstreams across 4 dedicated units • Workflow Optimization: Mapped process stages to eliminate bottlenecks, restructured internal team workflows, established cross-departmental KPIs, and implemented RACI governance matrices.