Data Scientist / Data Analyst
Data Scientist / Data Analyst with telecom and consulting background, focused on using data and ML to drive product and revenue decisions.
Worked with multi-million-subscriber telecom datasets, building customer segments, analyzing churn/ARPU/retention, and supporting campaign experiments instead of “blind” mass promotions. Experienced with Python, SQL, A/B testing, and BI tools (Power BI, advanced Excel), plus web- scraped market data from PwC projects. Looking for roles where business impact matters more than model buzzwords.
404 Education
Sep 2021 — Nov 2022*Configured analytics tools to log and analyze user interactions on the educational platform, enabling evidence-based product decisions. *Helped prioritize backlog items based on data on user behavior and feature adoption.
PwC Kazakhstan
Nov 2022 — Sep 2023*Built a web scraper for 10+ e-commerce marketplaces to automate collection of price and product data, reducing manual effort and improving data completeness for PwC’s economic analyses. *Implemented fuzzy matching logic to reconcile entities across multiple data sources, increasing matching accuracy and reducing manual cleanup. *Created comprehensive Excel models to analyze inflation and market price trends, supporting PwC’s annual economic report. *Participated in surveys of top companies on data security and management, summarizing findings for consulting deliverables.
NLS Kazakhstan (B2B) / Meganet (B2C)
Sep 2023 — Sep 2024*Integrated data from ad platforms (GA, Meta, Yandex) and internal systems into unified funnel views; automated regular reporting on channel performance. *Built SQL/Python-based reports to track conversions, CAC, retention and LTV for different customer cohorts. *Prepared datasets and reports that helped marketing adjust budgets and targeting strategies across online channels. *In B2B segment, utilized CRM / billing systems to produce connection and usage reports across commercial properties, improving transparency for management.
Kcell JSC
Sep 2024 — Oct 2025*Acted as a data-savvy liaison between CEO and technical/business units (Network, IT, Marketing, Finance), prioritizing initiatives where analytics and ML impacted revenue, churn and cost. *Led analytical work on telecom customer segmentation for 5M+ subscribers and integrated segments into CVM targeting and reporting. *Built executive dashboards for churn, ARPU and retention in Power BI / Excel, combining CDR, CRM and billing data; provided both high-level views and drill-downs for CEO. *Translated complex technical documents (5G audits, security / procurement reports)
BI Group
Nov 2025 — Jun 2026*Own and maintain a portfolio of Power BI dashboards covering sales, construction progress and finance KPIs, used regularly by department heads and senior management for day-to-day decision-making. *Replaced manual Excel reporting with recurring dbt models feeding Power BI, cutting weekly report- preparation time and reducing manual errors. *Worked with analysts and data engineers on model lineage and ownership, making it possible to trace any dashboard figure back to its source.
Kazakh-British Technical University
2019 — 2023Led the volunteers club, organized events and activities, and mentored students on coding and competitive programming
