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Data with less than a year in SQL, Python & Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst skilled in SQL, Python, and Power BI with experience in data cleaning, EDA, and dashboard development. Proven ability to analyze large datasets, identify trends, and deliver actionable business insights. Strong foundation in statistics and KPI analysis, seeking to leverage analytical expertise to drive product and business decisions at scale.
Trident Academy of Creative Technology
Master of Computer Applications
August 1, 2024 – June 30, 2024
FIS Global Business Solutions
Customer Operations Analyst
July 1, 2025 – November 1, 2025
Gurgaon, Haryana, India
Uber Booking Analytics
June 1, 2026 – June 1, 2026
Analyzed 5,000+ Uber booking records to uncover ride demand patterns, peak usage hours, cancellation drivers, and pricing trends across city zones. Built an interactive Power BI dashboard visualizing booking KPIs including trip completion rate, average fare by zone, and driver utilization, enabling operational optimization insights. Identified an 18% cancellation spike during surge pricing windows; proposed fare-cap recommendation that could improve booking completion rate by an estimated 12%.
View ProjectSwiggy Churn Analytics
June 1, 2026 – June 1, 2026
Examined 4,000+ transactions to diagnose a 27% customer churn rate, identifying root causes across demand patterns, discount sensitivity, city-level performance, and cuisine preferences. Discovered peak demand on Fridays and high-discount dependency among churned users; delivered segmented retention strategy recommendations to reduce churn by an estimated 15%. Built customer lifetime value (CLV) segments and cohort retention charts, giving stakeholders clear visibility into high-value user behavior and revenue drivers.
View ProjectBranch Cash Flow Insights
June 1, 2026 – June 1, 2026
Evaluated 3,000+ branch transactions to surface a 4.3% cash shortage rate, identifying high-risk branches with inconsistent deposit patterns and excess idle cash. Designed a data-driven cash redistribution model and demand forecasting framework; projected improvement in cash availability and reduction of operational inefficiencies by up to 15%. Presented findings via an executive-ready Power BI dashboard, enabling branch managers to make real-time, evidence-based liquidity decisions.
View ProjectData Analytics Certification: SQL, Python, Excel, Power BI, Tableau
CloudyML
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity (Uber bookings, Swiggy churn, branch cash flow) indicates adaptability and a broad interest in applying data analytics across different domains. The focus on delivering actionable insights and improving operational efficiency aligns well with a results-driven culture. The listed skills and project work show a good breadth of tools and techniques relevant to a data role, suggesting a willingness to learn and apply new technologies.
Soft Skills & Operational Fit
The candidate demonstrates an ability to translate data into business recommendations and present findings effectively, indicating good problem-solving and communication skills. Their experience in tracking KPIs and collaborating with cross-functional teams suggests a team-oriented approach and operational awareness. The projects highlight a proactive approach to identifying business problems and proposing data-driven solutions.