About
CS graduate(CGPA 8.21) with hands-on experience building end-to-end analytics projects in SQL, Excel, and Power BI. Worked with datasets ranging from 10K bank records to 28K call center logs, uncovering churn patterns, operational gaps, and user behavior. Leveraged AI-powered tools to speed up query drafting and EDA, reducing turnaround time while independently validating outputs for accuracy and reliability.
Skills & Expertise (22)
Work Experience
Data Analyst
Bank CRM Analytics Dashboard
Feb 2026 - Mar 2026
Integrated and analyzed 10K+ customer records using SQL and Excel Power Query, applying AI-assisted query drafting to speed up churn segmentation logic and identifying churn drivers including inactive users (26.85% vs 14.27%) and single-product users (27.71% vs 7.58%). Identified high-risk segments across geography, age, and tenure — Germany (32.44% churn) and customers aged 50+ (44.65%) — revealing exactly where the business was losing customers. Developed an interactive Power BI dashboard to track churn trends, customer segments, and product usage — giving stakeholders a single view of churn risk across all customer segments.
Data Analyst
Astrosage Call Center Analysis
Jan 2026 - Feb 2026
Analyzed 28K+ consultation records using Excel to evaluate operational efficiency, identifying a low 40.55% completion rate despite calls contributing 79% of revenue. Built an interactive KPI dashboard tracking revenue, workload distribution, customer ratings, and peak-hour demand — helping managers see where demand was spiking and staff accordingly. Proposed a Rs. 1 crore investment strategy optimizing technology, workforce, and training, addressing the root causes behind the low completion rate.
Data Analyst
Social Media Engagement Analysis
Dec 2025 - Jan 2026
Analyzed social media data of 100 users across 7 tables using SQL, directing AI-assisted query drafting for joins and window functions, and identifying a power-law pattern where top users generated 200+ interactions each. Performed hashtag and content analysis, uncovering high-engagement themes such as #smile and #beach driving over 1800+ interactions. Built a user segmentation model classifying users into High-Value Creators (19%), Emerging Users (53%), and Inactive Users (26%), identifying Emerging Users as the primary growth segment.
Education
B.Tech in Computer Science - Jayamukhi Institute of Technological Sciences
2022 - 2026 · Afghanistan
Certifications
Data Analyst – Newton Advantage Program
· 2026
SQL – Newton School
· 2026
Power BI – Newton School
· 2026
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Skills (22)
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