Data Analyst with less than a year in SQL, Python, and Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Data Analyst skilled in converting complex datasets into clear, business-focused insights and interactive dashboards. Strong expertise in SQL, Python, Excel and Power BI, with experience in building data pipelines and tracking KPIs. Adept at collaborating with stakeholders to support strategic, data-driven decision-making.
Bharathiar University, Coimbatore
Master of Business Administration
August 1, 2023 – June 30, 2025
Alagappa Govt. Arts College, Sivaganga
Bachelor of Business Administration
August 1, 2020 – June 30, 2023
Customer Shopping Behavior Analysis
February 1, 2026 – March 31, 2026
Processed and transformed 3,900+ customer purchase records using Pandas and NumPy, building a structured data pipeline to ensure high-quality, analysis-ready data. Developed and optimized 10+ SQL queries (joins, aggregations, window functions) to analyze customer segmentation, product performance, and revenue trends, reducing manual reporting effort by 60%. Designed an interactive Power BI dashboard using DAX, Power Query, and data modeling, enabling KPI tracking and business insights to track customer behavior and sales performance, identifying top revenue-generating categories and peak purchase periods for data-driven marketing strategies.
Employee Attrition Analysis
January 1, 2026 – March 1, 2026
Analyzed 1,470 employee records using SQL joins and aggregations across multiple dimensions to identify key drivers of employee attrition. Performed data cleaning and transformation using Power Query, resolving missing values, duplicates, and inconsistencies to improve dataset reliability and reporting accuracy. Built a Power BI dashboard with critical HR KPIs (Attrition Rate, Salary, Satisfaction Score), uncovering a 2.3x higher attrition risk among employees with low satisfaction and overtime.
Financial Loan Performance Analysis
December 1, 2025 – January 31, 2026
Developed an end-to-end data pipeline using Pandas for cleaning, transforming, and structuring loan data, ensuring 100% data completeness for analysis. Conducted exploratory data analysis (EDA) and created 10+ visualizations to evaluate loan performance metrics such as applications, funded amounts, and repayment behavior. Identified key risk factors (employment length, loan purpose) influencing repayment trends, enabling insights for risk assessment and lending strategy optimization.
Data Analysis with Python
IBM
June 1, 2026 – Present
Data Analytics
SLA Institute
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects show a good breadth of application areas (customer behavior, HR, finance), indicating adaptability. The target role of Data Analyst aligns well with the demonstrated skills and project experience. However, the lack of professional work experience and reliance on academic/certification projects might indicate a need for mentorship and integration into a professional team environment. The psychometric test score is 0, which means there is no data to assess logical reasoning, work attitude, stress handling, or team collaboration, making cultural fit assessment incomplete.
Soft Skills & Operational Fit
The candidate demonstrates a results-driven approach and an ability to convert complex datasets into business-focused insights. Their project descriptions highlight collaboration with stakeholders and a focus on reducing manual effort and supporting data-driven decision-making. The English test score of 70 indicates adequate communication clarity for professional settings.