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Data Analyst with less than a year in Revenue Analysis & Data Automation
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Results-driven Data & Business Analyst with hands-on experience in revenue analysis, data automation, and sales operations within a high-growth automotive marketplace. Recovered ₹76L in unbilled revenue by auditing 2 years of transactional data and built end-to-end reporting automation from scratch eliminating manual work across a 140+ dealer network. Skilled in requirement gathering, KPI definition, stakeholder communication, and transforming complex datasets into clear, strategic insights. Proficient in SQL, Power BI, Python, and Google Sheets automation.
Galgotias University
B.Tech · Computer Science & Engineering (Data Analytics)
August 1, 2021 – June 30, 2025
Revenue Audit & Reporting Automation
June 28, 2026 – Present
Recovered ₹76L in unbilled revenue by auditing 2 years of transactional data across a 140+ dealer network. Built end-to-end reporting automation from scratch, eliminating manual reporting work entirely. Delivered cross-functional stakeholder reports enabling faster, data-driven operational decisions.
Customer Churn & Retention Analysis
June 28, 2026 – Present
Processed and validated 50K+ customer records using SQL to ensure data accuracy and structured reporting. Conducted detailed churn trend analysis using Python (Pandas, NumPy) to identify high-risk customer segments. Defined and tracked key Retention KPIs including churn rate, customer lifetime value, and engagement metrics. Developed an interactive Power BI dashboard with DAX measures and filters for real-time performance tracking. Delivered actionable insights to improve customer retention strategies and reduce churn risk.
Financial Risk & Fraud Detection Dashboard
June 28, 2026 – Present
Analyzed large transactional datasets to detect anomalies and suspicious financial patterns. Applied structured risk scoring logic and statistical analysis to classify high-risk transactions. Implemented KPI tracking for fraud rate, transaction volume, and exception reporting. Developed an interactive Power BI compliance dashboard to monitor financial risk indicators, improving reporting transparency.
HR Analytics Dashboard
June 28, 2026 – Present
Cleaned and analyzed employee data for 1,470 employees to monitor attrition and workforce trends. Developed an interactive Power BI dashboard for departmental performance and retention insights. Used SQL and Python for data preprocessing, statistical analysis, and actionable HR reporting.
HR Email Marketing Automation
June 28, 2026 – Present
Designed a custom email automation system triggered by logic, increasing HR outreach engagement by 30%. Built triggered email sequences for applicant follow-ups, improving HR response rate by 35%. Reduced manual effort by 70% through real-time status tracking and full process automation.
Google Data Analytics Professional Certificate
Coursera
June 1, 2026 – Present
Certified in Data Analytics
DU CAT Institute
January 1, 2025 – Present
Data Analytics & Visualization Job Simulation
Accenture North America
September 1, 2024 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a broad interest in applying data analytics across different business functions (finance, HR, sales, customer retention). This diversity suggests an adaptable individual who can integrate into various team structures and tackle different business challenges. The focus on automation and efficiency aligns with a proactive and problem-solving culture. However, the lack of explicit team collaboration or leadership experience in the projects makes it difficult to fully assess cultural fit beyond technical contributions.
Soft Skills & Operational Fit
The candidate's project descriptions highlight an ability to work on diverse analytical problems, suggesting adaptability. The focus on automation and delivering actionable insights indicates a results-oriented approach. Experience in stakeholder reporting implies good communication and collaboration skills, crucial for operational fit in a data-driven role.