
Data Analyst with less than a year in Python, SQL & Power BI.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Through intensive training and hands-on data analytics projects, I have developed strong skills in processing and cleaning large datasets using NumPy and Pandas, as well as building interactive Power BI dashboards. I perform complex data aggregation and KPI development through SQL queries to identify key factors driving sales trends. My expertise includes data cleaning, SQL querying, Power BI dashboarding, real estate market analysis, and transforming raw data into actionable business metrics.
National University of Uzbekistan named after Mirzo Ulugbek
Bachelor in Economics · Economics, Econometrics
August 1, 2021 – June 30, 2025
Farobiy IT Academy
Data analytics
October 1, 2025 – April 1, 2026
Tashkent, Tashkent, Uzbekistan
Coffee Shop Business Metrics Optimization
June 18, 2026 – Present
Transformed raw transaction logs into actionable metrics using SQL and Excel. Designed a dashboard to monitor peak sales hours, top products, and revenue growth. Identified underperforming time slots and high-margin products to optimize inventory. Provided strategic recommendations to improve staffing and operational efficiency.
Real Estate Market Dynamics & Valuation
June 18, 2026 – Present
Analyzed complex real estate datasets to identify key pricing drivers and regional trends. Created a Power BI dashboard to visualize geographical price distribution. Pinpointed high-value and low-cost residential areas to assist in investment decisions. Enabled data-driven property valuation based on sales volume and market demand.
Sales Performance & Data Pipeline Automation
June 18, 2026 – Present
Processed and cleaned 10,000+ rows of raw data using Python (Pandas, NumPy) to ensure data integrity. Developed complex SQL queries for data aggregation and KPI calculation. Built interactive Power BI dashboards to visualize sales trends, improving data accuracy by 20%. Identified key factors driving sales fluctuations through visual data exploration.
Salesforce Certified Tableau Consultant
Salesforce
April 1, 2026 – Present
AI for Medicine Specialization
DeepLearning.AI
February 1, 2026 – Present
Kompyuter grafikasi mutaxassisi
Data Camp Academy
November 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a diverse application of data analysis skills across real estate, sales, and retail, indicating adaptability and a broad interest in different business domains. The academic background in Economics and Econometrics, combined with certifications in Tableau and AI for Medicine, suggests a continuous learning mindset and a drive for skill expansion. The internship role as a 'Data analytics' intern aligns well with the target role, showing a clear career path. The candidate's proactive approach to learning and project diversity suggests a good fit for a dynamic, data-driven environment.
Soft Skills & Operational Fit
The candidate's project descriptions highlight an ability to identify key factors, optimize processes, and provide strategic recommendations, indicating strong analytical thinking and problem-solving skills. The internship description mentions being 'ambitious and detail-oriented,' suggesting a good work ethic. However, without direct interview data or psychometric test results, a comprehensive assessment of stress handling, teamwork, and communication clarity in a professional setting is limited.