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Data Analyst with less than a year in Data Cleaning & Visualization
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
BCA graduate with a strong interest in data analysis. Skilled in data cleaning, Excel-based analysis, dashboard design, and data visualization. Hands-on experience working with real-world datasets through self-initiated projects. Motivated to grow as a data analyst and contribute meaningfully to data-driven teams.
Krishna Foundations Jaywant Institute Of Management
BCA · Computer Application
August 1, 2022 – June 30, 2025
Sadaguru Gadage Maharaj College
HSC
N/A – May 31, 2022
SM's English Medium School
SSC
N/A – May 31, 2020
Cafe Sales Data Analysis
June 23, 2026 – Present
Cleaned cafe sales dataset with missing values and inconsistent date formats using Power Query Editor. Added 3 derived columns – Month, Day, Year – for time-based trend analysis. Identified top 3 best-selling items and peak sales hours from the cleaned data. Summarized findings to support decisions on menu planning and staffing.
Superstore Sales Dashboard
June 23, 2026 – Present
Analyzed 9,994 rows of retail data to identify sales trends across 3 regions and 17 sub-categories. Performed data cleaning using Power Query Editor – handled nulls, duplicates and standardized formats. Built Pivot Tables to summarize sales, profit, and quantity by category and region. Designed an interactive dashboard with slicers and conditional formatting to highlight KPIs. Identified Technology as top revenue category and West region as highest performing.
Customer Churn Analysis
June 23, 2026 – Present
Analyzed 40,300 customer records across 43 attributes to identify churn patterns and retention risks. Detected 15.24% churn rate (6,141 customers) with Low Usage and High Pricing as top 2 churn drivers. Performed data quality audit – identified 3 columns with missing values (up to 33.41%) and fixed inconsistent date formats using Power Query Editor. Replaced nulls using domain logic: median imputation for satisfaction scores, labeled nulls in churn reason and feedback columns. Built 5 Pivot Tables to analyze churn by Region, Segment, Gender, Renewal Status, and Churn Reason. Identified East region as highest churn zone (8,606 customers) and 13,284 expired renewals as highest risk group. Designed an interactive dashboard with KPI cards, slicers, and charts to visualize churn trends for business decisions. Documented findings in a structured report with business recommendations to reduce churn rate.
Cultural Fit Analysis
The candidate's projects demonstrate a proactive, self-starter attitude by undertaking personal projects to gain hands-on experience. The diversity of projects (retail sales, cafe sales, customer churn) indicates a broad interest in applying data analysis across different business contexts. This suggests adaptability and a willingness to tackle varied challenges, which are positive indicators for cultural fit within a data-driven team. The focus on practical application and problem-solving aligns with a results-oriented culture.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as Communication, Teamwork, Problem-solving, and Attention to Detail. These are crucial for a Data Analyst role, where presenting findings and collaborating with stakeholders is key. The project descriptions indicate an operational fit through structured reporting and business recommendations, suggesting an understanding of how analysis translates into actionable insights. However, without specific assessment scores for these soft skills, this remains an inference from project descriptions.