Aspiring Data Analyst with a curious mindset and a passion for solving business problems through data. Demonstrated commitment to continuous learning through hands-on analytics projects and practical upskilling. Passionate about deriving actionable insights and supporting data-driven decisions. Keen to build expertise in Credit & Fraud Risk (CFR), risk analytics, and financial services industry.
BHEL (Bharat Heavy Electricals Limited)
Ranipet
Analyzed sewage treatment plant (STP) system drawings and operational workflows to identify process inconsistencies, efficiency gaps, and operational risks. Prepared and validated technical documentation for STP operations & spare parts, supporting data accuracy, process standardization, and operational efficiency.
B.Tech
CGPA: 7.2/10
Python, RFM Analysis, K-Means Clustering
Analyzed 500,000+ retail transactions and segmented 4,300+ customers using RFM Analysis and K-Means Clustering to understand customer purchasing behavior. Built a Power BI dashboard to visualize customer segments, purchase trends, and key business metrics, helping support marketing and customer retention efforts.
Tata iQ (Forage)
Performed exploratory data analysis on financial services data to assess data quality and identify key delinquency risk indicators. Analyzed customer repayment patterns and summarized findings to support risk assessment and decision-making.
GeeksforGeeks
Completed a 12-week program covering SQL, Python, Excel, Power BI, Data Analytics, ETL concepts, and Generative AI. Applied these skills through analytics projects involving data cleaning, exploratory data analysis (EDA), dashboard development, KPI reporting, trend analysis, and business insight generation using real-world datasets.