Data with less than a year in SQL, Python & Power BI
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Data Analyst skilled in SQL, Python, and Power BI, specializing in customer analytics, KPI development, and decision-driven solutions for revenue optimization and risk management.
Chaudhary Charan Singh University
Bachelor of Computer Applications · Computer Applications
N/A – June 30, 2025
Credit Utilization & Revenue Intelligence Dashboard
January 1, 2026 – Present
Developed a decision intelligence system on 30,000+ customer records using SQL (aggregations, CTEs) and Power BI (DAX) to analyze credit usage and risk behavior. Defined and calculated business-critical KPIs (Utilization %, Spend, Risk Score) to support credit risk assessment and revenue optimization. Designed a 4-page interactive dashboard for utilization trends, revenue opportunities, and decision insights. Identified top 15% high-value customers contributing disproportionately to revenue, enabling targeted credit expansion, and flagged high-risk users for limit reduction. Built a Logistic Regression-based risk model to predict high-risk customers and support credit risk decisions.
View ProjectBanking Transaction Analysis Dashboard
January 1, 2026 – Present
Analyzed 1,000,000+ (10+ lakh) banking transactions to uncover customer behavior and revenue patterns. Built dashboards showing top 1% customers generate 45% revenue ($4.2M), highlighting dependency risks. Detected 250+ anomalies and identified $500K+ revenue opportunity from low-value segments. Performed exploratory data analysis (EDA) to identify trends, outliers, and revenue-driving customer segments. Used Python (Pandas) for anomaly detection and DAX for KPI calculation, enabling targeted revenue improvement strategies.
View ProjectNASA Open Science 101
NASA - National Aeronautics and Space Administration
January 1, 2026 – Present
Tata Group Data Analytics Job Simulation
Forage
January 1, 2026 – Present
Deloitte Australia Data Analytics Job Simulation
Forage
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate an interest in applying data analytics to real-world business problems (banking, credit). The certifications from NASA, Tata Group, and Deloitte indicate a proactive approach to learning and professional development, suggesting a good cultural fit for organizations that value continuous improvement and practical application of skills. The diversity of project domains (finance, customer behavior) shows adaptability.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as clear written and verbal communication, a team-oriented mindset, and openness to feedback. These indicate a good operational fit for collaborative data analysis environments. The project descriptions show a focus on delivering actionable business insights, which is crucial for a data-driven role.