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Data Analyst with less than a year in Data Analysis & Visualization
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Results-driven data analyst with hands-on experience collecting, analyzing, and interpreting complex datasets to support business decision-making. Skilled in SQL, Python, Excel, and Power BI — with a strong track record of building dashboards, identifying trends, and delivering clear, actionable reports to cross-functional teams. Detail-oriented, accurate, and eager to drive measurable impact through data.
Tashkent State University of Economics
Business Management
August 1, 2024 – June 30, 2028
Farobiy IT Academy
Data Analyst Intern
January 1, 2026 – May 1, 2026
Salor, Tashkent Region, Uzbekistan
Sales Performance Analytics Dashboard
June 1, 2026 – Present
Collected and analyzed multi-source sales data to identify regional trends, seasonal patterns, and top-performing product categories. Designed an interactive dashboard with dynamic slicers and KPI indicators — enabling management to monitor revenue growth, volume, and seller performance in real time. Replaced manual Excel-based reporting with an automated solution, improving reporting accuracy and reducing analysis time.
Banking Performance & Credit Analytics Report
June 1, 2026 – Present
Analyzed branch-level financial data to identify performance gaps, credit trends, and growth opportunities across departments. Created structured reports and dashboards with target vs. actual KPI comparisons - supporting executive decision-making. Ensured data accuracy by validating source data and reconciling discrepancies before inclusion in business reports.
Python & SQL Reporting Pipeline – Trend Analysis & Forecasting
June 1, 2026 – Present
Interpreted complex datasets using Python (pandas, NumPy) — performed EDA to surface actionable business trends and anomalies. Developed time-series forecasting models to predict future performance, supporting data-driven planning and business decisions. Automated data extraction via SQL and report delivery to dashboards, ensuring data quality and accuracy across systems.
Tableau Consultant
Tableau
June 1, 2026 – Present
Google Data Analytics Professional Certificate
Google / Coursera
June 1, 2026 – Present
AI for Medical Prognosis
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including sales performance, banking analytics, and a Python/SQL reporting pipeline, shows a broad interest in applying data analysis across different domains. The certifications, especially 'AI for Medical Prognosis,' indicate a proactive learning attitude and a willingness to explore diverse applications of data science. This breadth of interest and continuous learning mindset suggests a good cultural fit for dynamic and growth-oriented teams.
Soft Skills & Operational Fit
The candidate demonstrates strong attention to detail, problem-solving abilities, and cross-functional collaboration skills, as evidenced by project descriptions and internship experience. The ability to translate complex data into business-ready recommendations and present findings to stakeholders suggests good communication and presentation skills. These attributes align well with the operational demands of a Data Analyst role.