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Data Analyst with less than a year in data analysis, ETL, and business intelligence.
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Computer Science undergraduate with end-to-end experience in data analysis, ETL pipeline development, and business intelligence across HR, e-commerce, and healthcare domains. Delivered projects analyzing datasets from 1,400 to 541,910+ records to uncover trends, quantify risks, and support data-driven decisions. Proficient in Python, SQL, Power BI, and Tableau, with experience across the full analytical workflow from data cleaning and statistical testing to dashboard delivery and stakeholder reporting.
Graphic Era University
Bachelor of Technology · Computer Science
August 1, 2022 – June 30, 2026
HashStudioz Technologies
Full Stack Engineer Intern
June 1, 2025 – August 31, 2025
Dehradun, Uttarakhand, India
HR Attrition Analytics
February 1, 2026 – March 31, 2026
Standardized a 1,413-employee HR dataset using Excel and Python, authoring 15 SQL queries to compute a 16.21% attrition rate with breakdowns by department, role, salary band, and tenure. Executed EDA across 30+ workforce variables in Python, surfacing statistically significant attrition patterns and delivering findings via an interactive Power BI dashboard for HR stakeholders. Diagnosed elevated attrition risk in lower-salary and early-tenure employee segments, providing SQL and Excel-driven recommendations that directly strengthened data-informed HR retention planning.
View ProjectHospital Readmission & Operations Analytics
January 1, 2026 – March 1, 2026
Analyzed 2,500 patient records across 11 variables, 6 departments, 4 risk levels, and 3 insurance categories, identifying a 20.4% 30-day readmission rate and surfacing high-risk operational patterns. Identified Orthopedics as the top readmission department at 23.4% and Critical-risk patients at 44.9% readmission rate, delivering targeted insights to improve patient monitoring protocols. Designed an interactive Power BI dashboard with KPI cards, readmission trends, risk distribution, and insurance-based breakdowns to support hospital operations decision-making.
View ProjectE-Commerce Churn & Revenue Risk Modeling
November 1, 2025 – December 31, 2025
Identified 16.84% customer churn and $471K (14.7%) revenue at risk by analyzing 5,630 customer records using SQL and Python, engineering tenure cohorts, revenue proxy, and churn flag features. Discovered 2-3× higher churn in new customers and complaint users, validated via two-proportion Z-test (p < 0.001) and visualized through an interactive Tableau dashboard. Estimated 18% potential churn reduction by simulating A/B retention strategies and applying survival analysis to identify critical churn periods within the first 6-12 months.
View ProjectPwC Data Analytics & AI Launchpad Program
PwC
June 1, 2026 – Present
Tata Group Data Analytics Job Simulation by Forage
Forage
June 1, 2026 – Present
Cisco Data Analytics Certificate
Cisco
June 1, 2026 – Present
Salesforce Developer With Agentblazer Champion Program by SmartBridge
SmartBridge
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying data analytics across various domains, which aligns with a growth-oriented culture. The certifications further indicate a commitment to continuous learning. However, the experience is primarily academic and internship-level, which might require more mentorship in a professional setting. The full-stack intern role, while showing versatility, is not directly aligned with the target Data Analyst role, but the SQL and analytical report generation aspects are relevant.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate complex data findings into business recommendations, suggesting good problem-solving and communication skills. The academic projects show initiative and a structured approach to data analysis problems. The internship, though brief, highlights experience in data validation and report generation, which are crucial for operational fit in a data role.