Banking, reporting and credit-risk perspective.
About
Business experience,
strengthened by data.
Four years in banking and financial services shaped the way I assess risk, question data and communicate findings.
My professional background is in banking and financial services, where I assessed credit applications, reviewed customer financial information, identified risks and prepared reports.
Today I apply that business perspective to practical analytics work: cleaning and validating data, writing SQL queries, building data models, defining KPIs and presenting findings through dashboards.
I am focused on Data Analyst opportunities where structured analysis, business judgment and clear communication support better decisions.
Careful cleaning, validation and documentation.
KPI design, dashboards and actionable summaries.
Analysis explained for non-technical stakeholders.
Toolkit
Four tools.
One workflow.
From raw files and relational data to analysis, models, dashboards and concise business recommendations.
Excel
Power Query, PivotTables, XLOOKUP, INDEX/MATCH, SUMIFS and interactive dashboards.
Analysis & reportingSQL
SQLite, JOINs, CTEs, subqueries, aggregations, window functions and query optimization.
Querying & explorationPower BI
Power Query, dimensional modeling, DAX measures, KPIs, slicers and visual storytelling.
Modeling & visualizationPython
Pandas, NumPy, web scraping, data cleaning, feature engineering and exploratory analysis.
Preparation & EDASelected work
Five project
collections.
Real project previews covering data collection, cleaning, exploratory analysis, SQL, dashboards and business recommendations.
01
End-to-end analytics
Python · Power BI
Global Economic Data Pipeline
Web scraping, data cleaning, exploratory analysis and an interactive dashboard covering 213 economies.
02
Four-module internship
SQL · Excel · Power BI
DevJoint Analytics Sprint
Four practical modules spanning Northwind SQL, Excel KPI reporting, Power BI and a marketing business case.
03
Booking analytics
37.04% cancelled
Python · Pandas
Hotel Booking Analysis
Data preparation and EDA across booking status, lead time, ADR, hotel type and estimated booking value.
04
Customer analytics
26.54% churn
Python · Pandas
Telco Churn Analysis
Customer risk segments and churn patterns across contracts, tenure, payments and support services.
05
Market dashboard
Power BI · DAX
Video Game Sales Dashboard
A multi-page report exploring global and regional sales across platforms, genres, publishers and years.
Credentials
Verified learning,
one clear system.
Seven credentials presented with the same structure, priority and visual weight.
IS
InStudyAugust 2026
Data Analyst (Big Data Analyst)
Professional data analytics training completed with distinction.
DJ
DevJointAugust 2026
Data Analytics Internship
Four-week practical program covering SQL, Excel, Power BI and business analysis.
CA
CodeAlphaAugust 2026
Data Analytics Virtual Internship
End-to-end internship covering web scraping, EDA and dashboard development.
G
GoogleAugust 2026
Foundations: Data, Data, Everywhere
Foundational concepts, analytical thinking and the data analysis lifecycle.
MS
MicrosoftAugust 2026
Excel and Copilot Fundamentals
Spreadsheet fundamentals, practical analysis and AI-assisted productivity.
IBM
IBMAugust 2026
Introduction to Data Analytics
Core analytical roles, workflows, tools and real-world applications.
C
CourseraAugust 2026
Data Visualization & Descriptive Statistics
Descriptive analysis, visual communication and evidence-based interpretation.
Let's work with data
Looking for a data analyst who connects numbers with business context?
Based in Baku · Open to local and remote opportunities