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Kassymkhan Tengel

@kassymkhantengel

Message

Senior data analyst translating complex fintech data into measurable product growth and cost savings.

Kazakhstan

Message

What I'm looking for

I’m looking for fully remote roles where I can own product analytics end-to-end—A/B testing, segmentation, LTV, and executive dashboards—using strong data engineering to deliver measurable business impact and clear growth for teams.

I’m a Senior Data Analyst and Data Scientist with 5+ years in fintech and banking, specializing in product analytics, customer segmentation, A/B testing, and dashboard development. I focus on turning complex data into measurable outcomes—growing active user bases, reducing costs, and informing executive decisions.

At Eurasian Bank, I designed and executed an A/B testing framework that enabled 84% of customers to migrate across a 3M+ base, directly shaping product and UX roadmap decisions. I launched 18 targeted payment campaigns using behavioral segmentation and funnel analysis, reaching 7–22% conversion and increasing active payments customers from 52,000 to 67,000 (+29%).

I also cut SMS communication costs by 600M KZT by optimizing the channel mix through controlled A/B experiments across customer cohorts. To strengthen long-term strategy, I built a customer LTV framework across 6 macro-segments and 22 micro-segments and presented findings to C-level stakeholders, while mentoring junior analysts on segmentation methodology and SQL best practices.

Earlier, at Halyk Bank and Jusan Bank, I delivered measurable growth through segmentation-driven campaigns (+19% MAU, +72.3% new card openings), built automated reporting and monitoring (Grafana and Telegram alerts), and created recommendation and analytics pipelines for millions of users. I build end-to-end analytics infrastructure using Python, advanced SQL, and tools like PostgreSQL, ClickHouse, Oracle, BigQuery, and Airflow—so teams can move from analysis to action quickly.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Scientist

Current

Eurasian Bank

Oct 2024 - Present (1 year 8 months)

Designed and executed an A/B testing framework for mobile app migration, achieving 84% migration of 3M+ customers and informing the product/UX roadmap. Built LTV and segmentation models, launched targeted payment and campaign experiments, and reduced SMS costs by 600M KZT through optimized channel mix validated by controlled testing.

A B Testing Cohort Analysis Funnel Analysis LTV Modeling Customer Segmentation Python SQL Random Forest Power BI Data Pipelines

Senior Data Scientist

Halyk Bank

Dec 2023 - Jul 2024 (7 months)

Increased MAU by 19% using behavioral segmentation and a LightGBM-based Lookalike approach for scalable audience expansion. Automated 23 push campaigns with Airflow and delivered executive BI dashboards using Oracle, PostgreSQL, and ClickHouse while analyzing 100M+ row transaction datasets.

Segmentation Apache Airflow Window Functions Polars BI Reporting Data Integration

Senior Data Scientist

Jusan Bank

Jul 2022 - Oct 2023 (1 year 3 months)

Launched the gamified campaign “A Million for Good Deeds,” increasing new card openings by 72.3% and reactivating cards by 26.3%. Built a unified KPI monitoring system with Grafana and Telegram alerts (eliminating 95% of manual Excel reporting) and developed a recommendation engine for 3–5M active users.

fastAPI Apache Airflow Oracle PostgreSQL Grafana Telegram Alerts Recommendation Systems KPIs Python Data Visualization

Middle Data Scientist

Jusan Bank

May 2021 - Jun 2022 (1 year 1 month)

Developed a bonus budget prediction model using XGBoost and Random Forest to improve budget allocation accuracy. Built a loan-scoring feature store for a 50–200B KZT portfolio with automated ingestion via Selenium and Apache Airflow across PostgreSQL, ClickHouse, and Oracle.

XGBoost Random Forest Feature Engineering Selenium Apache Airflow PostgreSQL Clickhouse Oracle

Junior Data Analyst

Jusan Bank

Apr 2020 - Apr 2021 (1 year)

Automated daily executive reporting on transfers, payments, and loans using pandas, smtplib, and openpyxl. Built real-time operational dashboards (MAU/DAU/WAU, queue status, ATM availability) with Plotly Dash and Grafana as the unified data source for product and operations teams.

Python (Pandas)Plotly Grafana SQL Excel Automation Dashboards Data Visualization Operational Analytics