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Data Analyst with less than a year in Power BI & Data Analytics
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.Com graduate with a CGPA of 7.5 and a strong foundation in data analytics and business intelligence. Proficient in tools such as Python, MySQL, Excel, Power BI, and Tableau. Demonstrated ability to clean, analyze, and visualize large datasets to extract actionable insights. Adept at creating interactive dashboards, writing complex SQL queries, and using Python libraries (Pandas, NumPy, Matplotlib, Seaborn) for data analysis. Eager to contribute to data-driven decision-making as an entry-level Data Analyst
Seicom Degree & PG College
Bachelor of Commerce · Commerce
August 1, 2021 – June 30, 2024
Seicom Degree & PG College
Intermediate (10+2)
June 1, 2019 – May 31, 2020
Mobile Sales Dashboard - Power BI
June 22, 2026 – Present
Designed a dynamic Power BI dashboard to analyze mobile sales data across brands, models, cities, and time periods. Integrated and transformed raw data using Power Query; built a custom calendar table to enable YTD, MTD, and year-over-year comparisons. Created DAX measures for KPIs such as Total Sales, Total Quantity, Transactions, and Average Price with interactive visuals. Implemented map visuals, bar charts, line graphs, pie charts, and customer rating analysis for rich business insights. Enabled filters by brand, model, payment method, and date to allow flexible, drill-down analysis for stakeholders.
Supermarket Sales Analysis – Power BI Project
June 22, 2026 – Present
Developed an interactive Power BI dashboard to analyze sales performance across brands, cities, states, and countries. Built custom DAX measures including Total Revenue, Total Profit, Total Transactions, Profit Margin, Return Rate, Quantity Sold, Quantity Returned, and Revenue Target for dynamic KPI tracking. Used map visuals, treemaps, bar charts, and gauge charts to present insights such as sales by region, revenue by weekday, and performance against targets. Designed a clean matrix report to compare brands based on profitability and returns, using conditional formatting to highlight insights. Implemented data filtering using slicers (store location, time) and created calculated tables for advanced comparisons.
Data Analytics Certification Course
Unknown
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying data analytics tools. The focus on business intelligence and data-driven decision-making aligns well with a data analyst role. The breadth of tools mentioned (Python, SQL, Power BI, Tableau, Excel) indicates a willingness to learn and adapt to different technologies, which is a positive for cultural fit in a dynamic environment. However, the lack of professional experience means cultural fit in a team setting is yet to be proven.
Soft Skills & Operational Fit
The candidate lists problem-solving, communication, and time management as soft skills. The project descriptions indicate an ability to structure and present information clearly, which aligns with communication. The detailed steps in dashboard creation suggest an organized approach to problem-solving. However, without direct assessment, the depth of these skills in a professional setting is unknown.