Zəhra Abdullayeva

Bakı

Analitik

Mənim haqqımda

Data Analyst with hands-on experience in data cleaning, manipulation, importing, reporting, and

dashboard creation. I am skilled in transforming raw data into accurate, structured, and meaningful

insights using Excel, SQL, Power BI and Python (Pandas, NumPy, Polars, Matplotlib). Experienced in

analyzing datasets, building automated workflows, and supporting business decision-making through

clear, insight-driven reporting.

Worked on multiple real-world data analytics projects, including an end-to-end Coffee Shop Sales

Analysis & Forecasting project, Retail & E-Commerce Sales Analysis (Power BI dashboard), ROI Analysis,

and HR Analytics. Experienced in data preprocessing, KPI tracking, performance measurement, and

creating interactive dashboards. Skilled at improving data quality and presenting insights in a clear,

actionable manner.

Naturally curious, detail-oriented, and always looking for ways to optimize and improve processes. Ready

to contribute to meaningful projects within a supportive team and grow further as a data professional. If

you're looking for a motivated data analyst who's ready to jump in, I’d love to connect.

Dil bilikləriniz

İngilis — B2 — Orta inkişaf etmiş
Türk — C2 — Səlis
Azərbaycan — C2 — Səlis
Rus — B1 — Orta

Təhsil

İş təcrübəsi

  • Azərbaycan Respublikası Mərkəzi Seçki Komissiyası 05.2021 - 10.2022

    Database Management and Support

    Entered, updated and deleted data in internal databases to keep everything accurate and up to date. • Performed routine database maintenance (backups, updates, integrity checks) to ensure system reliability and availability. • Regularly cleaned and reorganized data to improve efficiency and reduce errors. • Installed, maintained, and troubleshot departmental software, contributing to uninterrupted daily operations. • Created and shared user-friendly reports for different departments based

  • startup 01.2023 - 05.2023

    Data Analyst Assistant/ Data Entry Specialist

    Gathered and organized data from multiple sources, ensuring completeness and alignment with project goals. • Cleaned datasets by removing duplicates, correcting errors, and standardizing formats to ensure high data quality. • Analyzed data trends and insights to enhance the app's recommendation system and improve user experience. • Interpreted complex data sets to extract meaningful insights, translating findings into actionable recommendations for improving the user experience. • Design

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