About
Results-driven Data Analyst with hands-on expertise in Power BI, SQL/MySQL, Python and ETL pipelines, backed by 6 end-to-end industry projects across fintech fraud detection, HR attrition analytics, healthcare dashboards, and e-commerce analytics. Designed a Credit Card Fraud Detection system using advanced SQL — Window Functions, CTEs, and Feature Engineering — to analyse 1,000,000+ transactions and surface high-risk patterns by category, merchant, and geography. Built ML models achieving 85%+ accuracy for customer churn prediction and interactive Power BI dashboards that cut manual reporting effort by 35–50%. Certified by Deloitte, Cisco and Simplilearn. Seeking an entry-level Data Analyst role in Delhi NCR.
Skills & Expertise (31)
Work Experience
SQL Analytics
Credit Card Fraud Detection
Present - Present
Architected a complete SQL analytics pipeline on 1,000,000+ credit card transactions — including database schema design, data ingestion, cleaning and preprocessing — enabling end-to-end fraud investigation in MySQL. Engineered 3 new analytical features (transaction_hour, transaction_day, customer_age) via ALTER TABLE and UPDATE statements to power time-based and demographic fraud analysis. Identified top fraud patterns across merchant categories, US states, gender segments and peak hours using GROUP BY aggregations and ORDER BY ranking — directly replicable for live risk dashboards. Applied Window Functions (RANK() OVER PARTITION BY) and CTEs for merchant-level amount ranking and category-wise fraud summaries, demonstrating advanced SQL proficiency. Detected weekend vs. weekday fraud distribution and top 5 high-frequency fraud cards — insights applicable to real-time fraud alert systems in banking and fintech.
Power BI
Bank Transaction Fraud Detection Dashboard
Present - Present
Built an interactive fintech-style Power BI dashboard monitoring 50,000+ transactions, identifying fraud patterns with dynamic KPIs and drill-through visualizations. Analyzed transaction success rates and fraud trends, reducing manual review effort by an estimated 35% through actionable data insights. Implemented 20+ DAX measures and star-schema data modeling to create a scalable, decision-driven reporting solution with row-level security.
Employee Attrition Analysis
HR Analytics
Present - Present
Developed an interactive Power BI dashboard analyzing attrition patterns across 1,400+ employee records, surfacing top drivers: salary, job role, and work-life balance. Created 15+ custom DAX measures and automated data pipelines, reducing report generation time by 50% and enabling targeted retention strategies. Delivered a self-service analytics tool with slicers for department, age band, and tenure — enabling real-time attrition monitoring for HR leadership.
Python
Bank Customer Churn Prediction
Present - Present
Built ML classification models (Logistic Regression, Random Forest) on 10,000+ records, achieving 85%+ accuracy in predicting customer churn. Performed feature engineering, data preprocessing and EDA to uncover key churn drivers — tenure, product count, and account balance. Delivered a ranked churn risk report enabling targeted retention campaigns with a projected 20% reduction in churn.
Python
Netflix Content Data Analysis
Present - Present
Analyzed 8,000+ Netflix titles to identify content trends, genre distribution and regional release patterns to support content strategy decisions. Comprehensive EDA revealed 70% of content additions occurred post-2015, informing production investment insights.
Python
A/B Testing & Statistical Analysis
Present - Present
Designed and executed a full A/B testing framework comparing user behavior across two groups using t-tests and chi-square significance testing (p < 0.05). Delivered data-driven insights improving key performance metrics by 18% through rigorous statistical methodology and visualization.
Power BI
Healthcare Analytics Dashboard
Present - Present
Designed an executive-level Power BI dashboard monitoring patient satisfaction scores, bed occupancy, and departmental KPIs across multiple hospital units. Reduced the dashboard reporting cycle from weekly to real-time — enabling operational efficiency decisions and resource allocation improvements.
Education
Bachelor of Arts (Honours) - School of Open Learning, Delhi University
2022 - 2026 · Afghanistan
Diploma in Data Science - Madrid Software Trainings
- 2024 · Afghanistan
12th Standard - NIOS
- 2020 · Afghanistan
10th Standard - CBSE
- 2018 · Afghanistan
Certifications
Deloitte Data Analytics Virtual Internship Certification
Forage · 2024
Cisco Networking Academy — Data Analytics Essentials
Cisco · 2024
Microsoft Excel Advanced Certification
Simplilearn · 2023
Power BI Certification
Simplilearn · 2023
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Skills (31)
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