a
abaizaqov

Azamat B

@abaizaqov
Kasachstan
Kasachisch, Russisch, Englisch
Einige Informationen werden in englischer Sprache angezeigt.
Über mich
Dynamic Data Analyst with four years of experience in leveraging data-driven insights to enhance financial decision-making. Proficient in Python, SQL, and advanced Excel, bringing a strong analytical mindset to complex financial scenarios.... Mehr lesen

Kompetenzen

a
abaizaqov
Azamat B
offline • 

Meine Dienstleistungen

Statistische Modellierung & Analyse
I will do data cleaning, analysis, model on any data
Ab50 $ / ProjektWeitere Details
Daten-Dashboards
I will build a professional looker studio dashboard with python and sheets integration
Ab30 $ / ProjektWeitere Details

Arbeitserfahrung

Senior Analyst

National Bank of Kazakhstan • Vollzeit

Jan 2023 - Present • 3 yrs 7 mos

I lead analytical workstreams supporting supervisory oversight and financial-stability assessments across the banking sector. My responsibilities include evaluating credit-risk exposures of retail and secured portfolios, developing data-driven diagnostics (PD, LGD, DSTI, DTI, transition matrices), and synthesizing insights from large-scale regulatory datasets to inform macroprudential policy decisions. I collaborate with commercial banks to validate reporting quality, conduct targeted reviews, and deliver actionable risk intelligence to senior management. My role focuses on enhancing the quality of credit-risk analytics, strengthening supervisory methodologies, and driving continuous improvement in the regulatory data infrastructure.

BI Analyst

Maxinum • Vollzeit

Jul 2020 - Dec 2022 • 2 yrs 5 mos

I delivered end-to-end business intelligence solutions to streamline operational decision-making and executive reporting. My work covered data modeling, automation, and dashboard development across Google Sheets, Looker Studio, Power BI, Apache Superset, and Excel, supplemented by Python and Apps Script for ETL and process automation. I designed scalable reporting architectures, optimized data pipelines, and integrated cross-platform workflows using Make (Integromat). The role focused on improving data hygiene, reducing manual workload, and providing management with real-time visibility into financial, operational, and marketing KPIs.