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Data Analysts with less than a year in SQL, Excel, Python, and data visualization.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented and analytical B.Sc. Computer Science graduate with strong skills in data analysis, statistics, and visualization. Eager to apply my knowledge of SQL, Excel, Python, and data visualization tools to drive insights and support decision-making. Seeking an entry-level Data Analyst role to contribute to organizational success and grow professionally.
SAVITRIBAI PHULE PUNE UNIVERSITY
Bachelor Of Computer Science · Computer Science
January 1, 2022 – January 1, 2025
Sales Analysis With Excel
June 25, 2026 – Present
In Excel I create modern dashboard of Sales data by different regions, this dashboard are done in 3 parts dashboard, products, salesmans. o In Dashboard sheet shows total amount, total sales, sales by products, sales by regions, sales by month of different products with different regions. o In Products sheet shows sales by products, sales by top 3 selling products, top
Employee Data Management with Sql
June 25, 2026 – Present
in sql project company employee, project, departments, works data base tables created and solve sql quaries like sql joins, unions.
Data Analysis With Python
June 25, 2026 – Present
Pandas - In pandas python library with using jupyter notebook make the weather data analysis. By using weather data I have done analysis on different weather conditions. Head, tail, rename, sum, mean , standard , variance, maximum, minimums of data are executed in this code. MATPLOTLIB - In matplotlib I shows line plot, histogram, bar chart, scatter plot, pie chart, subplots using different data.
Sales Analysis With Power BI
June 25, 2026 – Present
In power Bi I have done a sales analysis with using different data visualization show with pie chart, histograms, slicers, cards. This analysis are done year wise top losses product, top profit products, sales by region, sales by segment, Quantity and Top customers.
Cultural Fit Analysis
The candidate's academic background and project diversity align with an entry-level Data Analyst role. The focus on practical application of data tools (SQL, Python, Power BI, Excel) suggests a proactive learning attitude. However, the lack of professional experience or extracurricular activities limits the assessment of broader cultural fit aspects like initiative, adaptability, or collaboration in a professional setting.
Soft Skills & Operational Fit
The candidate's profile indicates a detail-oriented and analytical approach, eager to apply knowledge to drive insights. The academic projects suggest an ability to work on structured tasks and present findings. However, without psychometric or English test scores, it's difficult to assess stress handling, team collaboration, or overall communication clarity beyond project descriptions.