Data Analyst with 1+ years in Data Visualization & Analytics
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Results-driven Data Analyst with hands-on experience in data collection, cleaning, analysis, and reporting. Holds an MCA degree along with a BSc in Data Science. Proficient in Python, SQL, Power BI, and Tableau, with strong skills in exploratory data analysis (EDA), statistical analysis, and dashboard development. Proven ability to transform complex datasets into actionable insights that drive business decision-making.
RG Kedia College of Commerce
Master of Computer Applications (MCA)
August 1, 2023 – June 30, 2025
Aurora Degree & PG College
Bachelor of Science · Data Science
August 1, 2020 – June 30, 2023
Sudhakar PVC Products Pvt. Ltd.
Junior Assistant - IT
April 1, 2024 – June 1, 2025
India
Healthcare Analysis & Intelligence Dashboard
June 21, 2026 – Present
Developed an end-to-end Healthcare Analytics solution analyzing 100K+ patient and hospital operational records using Python, SQL, and Power BI. Performed data cleaning, preprocessing, feature engineering, and SQL-based analysis to identify patient trends, readmission patterns, department performance, and treatment cost insights. Built an executive Power BI dashboard with 20+ interactive visualizations, KPI cards, slicers, drill-through analysis, and DAX measures including YoY Growth and Last Year comparisons. Designed a star schema data model and delivered actionable insights on bed occupancy, operational efficiency, emergency admissions, and patient risk intelligence for data-driven healthcare decisions.
Commerce Operations Intelligence
June 21, 2026 – Present
Analyzed 1.37M+ e-commerce records across 12 relational tables using SQL and Python to uncover return abuse patterns, refund leakage, and operational inefficiencies. Performed data cleaning, validation, and exploratory data analysis (EDA) by resolving 8 critical data quality issues using Python (Pandas), ensuring accurate and reliable reporting. Identified high-risk customers, sellers, products, and warehouses contributing to return-related losses, enabling targeted recommendations for risk mitigation and cost reduction. Designed and developed interactive Power BI dashboards to monitor return rates, refund leakage, warehouse performance, and key operational KPIs, delivering actionable insights to support data-driven decision-making and improve operational efficiency.
Cultural Fit Analysis
The candidate's project diversity, covering healthcare and e-commerce, shows adaptability and a broad interest in applying data analysis across different domains. The focus on delivering actionable insights and improving operational efficiency aligns well with a results-oriented culture. The academic background and continuous learning (MCA) suggest a proactive and growth-oriented mindset.
Soft Skills & Operational Fit
The candidate demonstrates soft skills such as analytical thinking, problem-solving, attention to detail, and stakeholder communication through project descriptions and work experience. The ability to collaborate with cross-functional teams and translate business requirements into analytical solutions indicates a good operational fit for data-driven environments.