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Data with less than a year in Power BI, SQL, and Python for data-driven insights.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated and detail-oriented entry-level Data Analyst with hands-on experience in building interactive Power BI dashboards and performing data cleaning, transformation, and visualization. Skilled in identifying trends and generating actionable insights to support data-driven decision-making. Eager to leverage data analytics skills in a collaborative team to deliver business intelligence solutions.
Aurora P G College
Master of Business Administration (MBA) · Accounting & Finance
June 1, 2019 – May 1, 2021
St. Mary's College, Yosufguda
Bachelor of Computers - BCom · Computers
June 1, 2017 – May 1, 2019
Sales Performance Dashboard
June 1, 2026 – Present
Collected and cleaned retail sales data (CSV format) using Power Query. Built interactive dashboard with slicers for region, product category, and sales rep. Designed KPIs (Total Sales, Profit %, YoY Growth) and drill-through pages for detailed analysis. Delivered insights that highlighted underperforming regions and recommended promotional strategies.
Customer Churn Analysis
June 1, 2026 – Present
Queried and transformed customer subscription data in SQL Server. Applied DAX measures to calculate churn rate, retention cohorts, and average revenue per user (ARPU). Created a dashboard showing churn patterns by region, tenure, and customer segment. Identified top 3 drivers of churn and presented findings with actionable recommendations.
HR Analytics Dashboard
June 1, 2026 – Present
Analyzed HR dataset with employee demographics, performance scores, and attrition status. Designed diversity, hiring, and attrition KPIs with trend visualizations. Enabled HR team to track department-wise attrition and improve workforce planning.
Employee Attrition Rate
June 1, 2026 – Present
Leveraged Exploratory Data Analysis using R to centralize the attrition data based on business organization analyzing employee behavior. Deployed and tested ML models (Logistic Regression, Clustering, Random Forest, SVM) on IBM employee attrition data using R (dplyr, ggplot2, tidyr) and Tableau to predict employee turnover resulting in 91% accuracy, supporting HR decision-making.
Power BI
Unknown
June 1, 2026 – Present
SQL
Unknown
June 1, 2026 – Present
Python
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a breadth of application across different business domains (sales, customer service, HR), which indicates adaptability and a willingness to tackle diverse problems. The stated soft skills align with collaborative team environments. However, the candidate is listed as 'entry-level' with no professional experience, which might require more mentorship and integration into a senior team's workflow. The target role is 'Data', which aligns well with the candidate's project focus.
Soft Skills & Operational Fit
The candidate's resume highlights 'Analytical Thinking', 'Problem Solving', 'Communication Skills', 'Collaboration', and 'Time Management' as soft skills. The project descriptions indicate an ability to work through data challenges and present actionable insights. However, the English test score of 37 suggests potential challenges in professional communication clarity, which is critical for operational fit in a data role requiring stakeholder interaction and report generation.