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Data Analyst with less than a year in SQL, Python, Power BI, and Excel.
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 Computer Science graduate seeking a Data Analyst role. Proficient in SQL, Python (Pandas, NumPy), Power BI, and Excel for extracting actionable insights from complex datasets. Skilled in data cleaning, visualization, and storytelling to support data-driven business decisions.
Bansal Inst. of R&T Sci., Bhopal
B.Tech · Computer Science Engineering
January 1, 2021 – January 1, 2025
E-Commerce Sales Analysis Dashboard
January 1, 2026 – Present
Cleaned and processed 50K+ transaction records using Python (Pandas) to identify revenue trends. Wrote complex SQL queries to extract sales KPIs, customer segmentation, and product performance. Built interactive Power BI dashboards with slicers, DAX measures, and drill-through reports. Automated monthly reporting in Excel with Pivot Tables, VLOOKUP, and conditional formatting. Uncovered a 20% revenue drop in Q3 due to cart abandonment, enabling targeted re-engagement.
Student Performance Prediction (Academic Project)
January 1, 2026 – Present
Analyzed academic dataset of 500 students using Pandas for data wrangling and feature selection. Performed EDA with Matplotlib and Seaborn to visualize grade distributions and correlations. Queried a MySQL database to merge multiple tables and prepare the final analytical dataset. Identified key factors affecting performance, delivering insights that improved pass rate by 15%.
SQL for Data Analysis
HackerRank / LeetCode
June 1, 2026 – Present
Python for Data Science
Unknown
June 1, 2026 – Present
Power BI Fundamentals
Microsoft Learn
June 1, 2026 – Present
Excel for Data Analytics
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying data analysis skills, including both academic and personal initiatives. The E-Commerce Sales Analysis Dashboard project shows an interest in real-world business problems and delivering tangible results, which aligns well with a results-oriented culture. The academic project also highlights an ability to work with structured data and derive insights. The breadth of tools used (Python, SQL, Power BI, Excel) indicates adaptability and a willingness to acquire new skills, which is positive for cultural fit in a dynamic environment.
Soft Skills & Operational Fit
The candidate lists communication, time management, leadership, problem-solving, and attention to detail as soft skills. While these are crucial for a Data Analyst, there is no direct evidence from completed tests or work experience to validate these claims. The project descriptions indicate an ability to work through complex problems and present findings, which indirectly supports problem-solving and communication.