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Data Analyst with less than a year in Data Cleaning, Data Visualization, and Dashboard Development.
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Highly motivated and results-driven individual with practical experience as a Healthcare Data Intern, specializing in data cleaning, visualization, and dashboard development. Proficient in Python (NumPy, Pandas), Advanced MySQL, PowerBI, Google Spreadsheets, and MS Excel. Successfully managed and analyzed large datasets, identified trends, and implemented automated data checks to improve efficiency and accuracy. Strong background in data analysis projects, including customer churn and IT ticket analysis, demonstrating a keen ability to derive actionable insights and optimize processes.
The Oxford College Of Nursing
Bachelor of Science · Nursing and Midwifery
August 1, 2020 – June 30, 2025
Saint Paul's School
Intermediate · Class XII
June 1, 2019 – May 31, 2020
Saint Paul's School
Matriculation · Class X
June 1, 2017 – May 31, 2018
The Oxford College of Nursing
Healthcare Data Intern
September 1, 2025 – June 1, 2026
Bengaluru, Karnataka, India
Chinook Music Store Data Analysis
January 1, 2025 – December 31, 2025
Cleaned and consolidated 11 database tables, fixing 150+ NULL or inconsistent entries using SQL CTEs, COALESCE, and validation checks. Used joins, window functions, and aggregations to identify top 5 tracks, artists, and genres driving 65% of total revenue. Highlighted the top 3 profitable genres and regional trends, strengthening BI insights for catalog and marketing decisions.
View ProjectBank Customer Churn Analysis
January 1, 2025 – December 31, 2025
Built an analytical PowerBI Dashboard to track and maintain 10K+ customer records through various KPI's. Automated the Data Cleaning and transformations using an ETL pipeline integrating Python, Advanced MySQL Queries and Power BI (dashboarding) to streamline churn reporting and cutting reporting time by 15%. Found 35% lower churn in multi-product users and identified 3 high-risk groups through KPI tracking and retention trend analysis.
View ProjectIT Ticket Analysis
January 1, 2025 – December 31, 2025
Analyzed 97,000+ IT support tickets to identify inefficiencies in resolution times and agent performance. Recommended training and process improvements projected to reduce costs by 15-20%. Designed KPI dashboards improving operational efficiency by 35%.
View ProjectCertified Data Analyst
Newton School
June 1, 2026 – Present
HackerRank Advanced SQL Certificate.
HackerRank
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in Nursing and Midwifery, combined with a target role as a Data Analyst, suggests a unique interdisciplinary perspective. While the projects demonstrate relevant technical skills for a Data Analyst role, the academic projects are all academic, and the single internship is projected for the future (2025-2026), indicating a lack of current professional experience. The diversity of projects (music store, bank churn, IT tickets, healthcare) shows a broad interest in applying data analysis across different domains. However, the lack of professional experience and the academic nature of projects might require additional mentorship and integration into a professional data team culture.
Soft Skills & Operational Fit
The candidate's project descriptions highlight an ability to identify inefficiencies, recommend improvements, and optimize processes, suggesting a problem-solving mindset and operational awareness. The internship experience in healthcare data management also points to an understanding of data integrity and practical application of data analysis in a real-world setting. However, without direct assessment data, specific soft skills like teamwork or stress handling cannot be definitively evaluated.