Data Analyst with 1+ years in SQL, Power BI & Python.
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Results-driven Data Analyst with 1.9+ years of experience transforming complex datasets into strategic business insights across e-commerce, telecom, and banking domains. Proficient in SQL query optimization, Power BI dashboard development, DAX modeling, ETL processes, and Python-based exploratory data analysis (EDA). Delivered end-to-end analytics solutions including interactive dashboards that reduced manual reporting effort by 40% and validated 80,000+ records for data integrity. Skilled at translating business requirements into KPIs, building scalable data models, and presenting actionable findings to cross-functional stakeholders.
College of Engineering Bhubaneswar
Master of Computer Applications (MCA)
August 1, 2021 – June 30, 2023
Madul Tech. Software Pvt Ltd.
Data Analyst
August 1, 2024 – Present
India
E-Commerce Customer & Sales Analysis
June 17, 2026 – June 30, 2026
Designed and delivered an end-to-end analytics solution to analyze sales performance, customer behavior, and order fulfillment trends across the full e-commerce funnel. Processed and validated 80,000+ records using SQL and Power Query, ensuring data integrity, consistency, and accuracy before analysis. Defined and built KPIs covering revenue trends, customer segmentation, and order fulfillment metrics - translating business requirements directly into measurable dashboard outputs. Built interactive Power BI dashboards with DAX measures to visualize revenue performance, product-level sales, and customer purchase insights for business leadership. Automated monthly reporting workflows using Power Query and DAX, reducing manual reporting effort by 40% and improving report reliability. Generated actionable insights to identify top-performing products, high-value customer segments, and seasonal sales patterns to support strategic planning.
View ProjectHospital Readmission Analysis
June 17, 2026 – June 30, 2026
Analyzed patient health records using SQL and Python to identify clinical and behavioral factors contributing to hospital readmissions. Performed comprehensive data cleaning, preprocessing, and EDA to surface key patterns across patient demographics, chronic conditions, and prior admission history. Identified primary readmission drivers chronic disease burden, patient age, length of prior stay, and admission frequency - providing evidence-based inputs for care teams. Conducted patient risk segmentation to classify individuals into high, medium, and low readmission risk groups, enabling proactive clinical intervention. Developed interactive Power BI dashboards tracking readmission rates, patient demographics, and healthcare KPIs to support discharge planning and patient care improvements.
Cultural Fit Analysis
The candidate's project diversity across e-commerce, telecom, and banking domains indicates adaptability and a broad interest in applying data analysis to different business contexts. Their focus on delivering actionable insights and improving business outcomes aligns well with a results-oriented culture. However, the limited professional experience (less than 2 years) might require additional mentorship in a senior role.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving skills, and attention to detail through their project descriptions. Their experience in collaborating with business stakeholders indicates good communication and teamwork potential. The ability to automate processes suggests an operational mindset focused on efficiency.