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Abdulaziz Ismatov

@abdulazizismatov

Message

Motivated data analyst using SQL and Excel to turn complex datasets into actionable insights.

Uzbekistan

Message

What I'm looking for

I’m looking for an entry-level Data Analyst role where I can use SQL, Excel, and Power BI to build clear dashboards from real data, grow fast through feedback, and apply my logistics background to drive better decisions.

I’m a motivated and detail-oriented Data Analyst with hands-on knowledge of SQL, Microsoft Excel, and Python, currently building my analytics foundation through my Logistics degree. I’m self-taught through structured learning and real-world practice, with a strong ability to extract insights from complex datasets using SQL.

Experience

Work history, roles, and key accomplishments

E-Commerce Sales Analysis

Personal Projects

Jan 2025 - Present (1 year 6 months)

Analyzed a public e-commerce dataset (50,000+ transactions) to identify top product categories and revenue trends using SQL aggregations and window functions. Cleaned data in Excel, cross-referenced product information with XLOOKUP/COUNTIF, and recommended inventory prioritization after finding 3 categories accounted for 72% of total revenue.

SQL Window Functions COUNTIF Data Cleaning Data Validation

Financial Transaction Anomaly Detection

Personal Projects

Jan 2025 - Present (1 year 6 months)

Used advanced SQL (CTEs, subqueries, CASE WHEN) to flag potentially anomalous financial transactions based on statistical thresholds. Built Excel summary tables and applied conditional formatting to highlight outliers, maintaining 99.8% data integrity across 20,000+ rows.

SQL Subqueries CASE WHEN Anomaly Detection Conditional Formatting Data Integrity Data Validation

Education

Degrees, certifications, and relevant coursework

Tashkent State Technical University (TATU)

Bachelor of Engineering, Logistics & Transport

2024 -

Activities and societies: Relevant coursework: Supply Chain Management, Operations Research, Statistics & Probability. Self-studied data analytics tools via online resources.

Pursuing a Bachelor of Engineering in Logistics & Transport with relevant coursework in supply chain management, operations research, and statistics. Applying logistics domain knowledge to data analytics projects and self-studying analytics tools alongside the curriculum.