Data Analyst & Data Scientist

Transforming raw data into actionable insights. Currently analyzing trends at Xride Cars, helping drive strategic decisions through data-driven intelligence.

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About Me

I'm a results-driven Data Analyst with a passion for uncovering patterns and transforming complex datasets into clear, actionable insights. Currently, I work at Xride Cars where I leverage data to inform strategic business decisions.

My expertise spans across data visualization, statistical analysis, SQL, Python, Power BI, and Tableau. I'm skilled at identifying business opportunities through exploratory data analysis and creating compelling presentations for stakeholders.

I have successfully delivered multiple analytics projects, from customer segmentation and behavior analysis to operational efficiency improvements. My work consistently demonstrates the business impact of data-driven decision making.

My Projects & Analysis

Data-driven solutions showcasing my expertise in analytics, reporting, and business intelligence

Walmart Basket Analysis

This project analyzes Walmart sales data in Excel to identify the most frequently purchased product pairs and triplets, supported by Pivot Tables for exploratory analysis. It also determines the top-selling product combinations by day of the week and time of day, revealing valuable customer purchasing patterns.

ExcelPower PivotEDA

Amazon Sales Dashboard

A sales analytics dashboard built in Power BI using Amazon data, featuring interactive map visuals to track state-level sales and dynamic filters by year, month, state, and category. The solution incorporates YOY performance comparison and churn analysis with DAX to highlight lost, loyal, and new customers through intuitive visual insights

Power BIDAXData Visualization

Mobile Operator Analysis

SQL-driven analysis of mobile operator subscribers focused on demographic segmentation and payment behavior insights. The project reveals how age, gender, and payment patterns correlate, while also quantifying total payments and the number of active users

Oracle SQLPL SQL

Pokémon Dataset Exploration

Python-based analysis of the Pokémon dataset focused on understanding type distribution, base stats, and evolution chains. The project highlights the strongest Pokémon by comparing key attributes such as Attack, Defense, and Speed, visualizes stat patterns using Pandas, Matplotlib, and Seaborn, and includes a simple battle simulation tool to compare Pokémon based on selected stats

PythonPandasMatplotlibSeaborn

Education & Certifications

MSc in Data Science

University of Sheffield • 2025-2026

BSc in English Translation and Interpretation

Azerbaijan University of Languages • 2016-2020

Certificate in Data Analytics

Handex • 2024

MOSE Excel Expert

Microsoft • 2024

Get In Touch

I'm always interested in hearing about new projects and opportunities. Feel free to reach out!

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