Turning raw data into
clear decisions

I build ETL pipelines, interactive dashboards, and statistical analyses that answer real business questions. Five portfolio projects — from job market analysis to urban safety reporting — built end-to-end.

5
Portfolio projects built end-to-end
269K+
Transactions analyzed in Power BI
22K+
Safety reports processed via Streamlit
24
DAX measures written from scratch

Data analyst who builds, not just analyzes

I completed a 7-month intensive program in Python, SQL, and Power BI at Najot Ta'lim, and I am currently studying Business Information Systems at Westminster University in Tashkent (expected 2027).

My projects go beyond toy datasets — I built a production ETL pipeline pulling real job market data from hh.uz via API, deployed a live Streamlit app analyzing urban mobility reports, and created a full star-schema BI dashboard across 269,720 retail transactions.

Two years of e-commerce experience at Rizesport.uz gave me real business context: I know what questions managers actually need answered from data.

🎓
Education
BSc Business Info Systems · Westminster Univ. Tashkent · 2027
📜
Certification
Data Analytics · Najot Ta'lim · 2025
💼
Experience
E-commerce Assistant · Rizesport.uz · 2023–2025
🌐
Languages
English B2 (IELTS 6.0) · Uzbek Native
📍
Location
Tashkent, Uzbekistan · Open to remote

Projects

Five end-to-end projects — every line of code written and understood.

HeadHunter dashboard ETL · API · Power BI
HeadHunter Vacancy Collector

Production-grade ETL pipeline collecting Data Analyst job vacancies from hh.uz via REST API. Loads into normalized SQL Server schema (5 tables).

PythonSQL ServerPower BIREST APIETLPandas
Urban Mobility Dashboard Streamlit · Live App
Urban Mobility & Safety Dashboard

Interactive Streamlit dashboard analyzing 22,000+ urban safety reports. Full data wrangling pipeline with spatial joins.

PythonStreamlitPlotlyGeoPandasPandas
Maven Market Dashboard Power BI · DAX
Maven Market BI Dashboard

Business intelligence dashboard across 269,720 transactions for a multi-national grocery chain. Star schema across 7 tables.

Power BIDAXData ModelingStar Schema
Titanic Analysis EDA · Statistics
Titanic Survival Analysis

Statistical analysis of 891 Titanic passengers uncovering survival patterns. Chi-square tests and t-tests validated findings.

PythonPandasMatplotlibStatisticsEDA

What I work with

Tools and technologies used across real projects — not just listed, actually applied.

Languages & Libraries
Python
Pandas
NumPy
Matplotlib
SQL
BI & Visualization
Power BI
DAX
Streamlit
Plotly
Data Modeling
Data Engineering
ETL Pipelines
REST API Integration
SQL Server / MS SQL
Spyder IDE
Git / GitHub

Let's work together

I'm actively looking for junior Data Analyst roles. If you have an opportunity or just want to talk data — reach out.