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Data Analyst with less than a year in SQL, Excel & Power BI for business insights.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Entry-Level Data Analyst with strong skills in SQL, Excel, and Power BI, experienced in analyzing 15,000+ records across finance and customer datasets. Delivered insights such as identifying top 10% customers contributing 41% revenue and uncovering key drivers of loan defaults (+20%). Skilled in KPI dashboards, data storytelling, and business-focused analysis.
Amity University, Lucknow
Bachelor of Computer Applications (BCA) · Computer Applications
N/A – June 30, 2026
Loan Default Risk Analysis & Dashboard
June 19, 2026 – Present
Cleaned and analyzed 9,500+ records using SQL to identify high-risk loan segments. Identified factors increasing default probability by 20%, enabling risk-based customer segmentation. Built KPI dashboard tracking default rate, income groups, and credit behavior for decision-making. Enabled better decision-making by highlighting high-risk customer segments. GitHub Repository Live Dashboard.
View ProjectCustomer Churn Analysis & Prediction
June 19, 2026 – Present
Analyzed 7,000+ customer records to identify churn drivers impacting retention. Segmented high-risk customers using behavioral and transaction patterns. Built KPI reports highlighting churn trends and revenue impact for decision-making. GitHub Repo (Code).
View ProjectE-commerce Sales Analysis
June 19, 2026 – Present
Used joins, CTEs, and window functions to analyze customer purchase behavior. Identified top 10% customers contributing to 41% revenue. Built reusable SQL scripts for business reporting. Created structured dataset views for faster reporting and analysis.
View ProjectData Analysis with Python
IBM (Coursera)
June 1, 2026 – Present
Data Analytics Simulation
Tata (Forage)
June 1, 2026 – Present
Excel Essentials for Data Analytics
Coursera
June 1, 2026 – Present
Google Analytics Certification
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse domains like e-commerce, finance (loan default), and customer retention (churn), indicating adaptability and a broad interest in data applications. The use of various tools (SQL, Python, Power BI, Excel, MySQL, Streamlit, Tableau) suggests a willingness to learn and apply different technologies. The academic nature of all projects and lack of professional experience means cultural fit in a corporate environment is yet to be proven.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate data into business insights, suggesting good analytical thinking and problem-solving skills. The focus on 'business-focused analysis' and 'decision-making' implies an understanding of operational impact. However, without specific psychometric or English test results, a deeper assessment of work attitude, stress handling, and team collaboration is not possible.