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Data Analyst with less than a year in Excel, SQL, Power BI, and Python, eager to apply analytical an
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Engineering graduated (may 2026) skills in Excel, SQL, Power BI, Python, and Data Analytics. Proficient in data analysis, dashboard creation, and data visualization. Seeking an entry-level Transaction Monitoring or Data Analyst role to apply analytical and problem-solving skills.
Dilkap Research Institute, Neral
Bachelor of Engineering (BE) · ComputerEngineering
August 1, 2022 – June 30, 2026
Sales&ProfitAnalysis
June 21, 2026 – Present
Built an Excel dashboard using Pivot Tables, Charts, and Slicers. Performed sales and profit analysis to identify business trends. Applied advanced formulas and What-If Analysis for reporting and decision-making.
Sales Performance Dashboard
June 21, 2026 – Present
Developed an interactive dashboard to analyze sales, profit, and regional performance. Created KPIs and visualizations using Power BI and DAX for business insights. Identified top-performing products and sales trends through dynamic reports.
Banking Transaction Analysis
June 21, 2026 – Present
Analyzed banking transaction data using SQL queries and database operations. Generated reports to identify high-value and unusual transaction patterns. Utilized JOINs, GROUP BY, and Window Functions for transaction monitoring analysis.
Cultural Fit Analysis
The candidate is an entry-level student with academic projects. The projects align well with a Data Analyst role, demonstrating a foundational understanding of core tools and concepts. However, the lack of professional experience, certifications, or diverse project types limits the assessment of cultural fit beyond basic role alignment. The candidate is still pursuing a degree, indicating a learning-oriented mindset, but also a potential need for significant mentorship and structured guidance in a professional setting.
Soft Skills & Operational Fit
The candidate lists communication, teamwork, problem-solving, and time management as soft skills. While these are crucial for a Data Analyst role, there is no assessment data to validate their proficiency. The academic projects suggest an ability to work on defined tasks, but real-world operational fit and collaboration skills are unproven.