About
Data Analyst with 3 progressive internships delivering measurable impact across install base management, energy analytics, and retail intelligence. Proven record building validated ETL pipelines that cut reporting cycles by 70%, deploying ML models at 92% accuracy, and surfacing $200K+ in cost/revenue opportunities. Hands-on expertise in Excel (PivotTables, Power Query, Macros), Power BI, SQL, and Python-based automation — directly aligned with Oracle's MEA IBT data management mandate.
Skills & Expertise (28)
Work Experience
Data Visualization Associate
Excelerate
Aug 2025 - Sep 2025
Architected a SQL database integrating 5 education datasets (10,000+ records), cutting cross-functional query time by 60% — enabling self-serve data access and eliminating analyst bottlenecks. Engineered a Looker Studio dashboard tracking 15+ program KPIs, reducing executive reporting cycles by 40% and directly informing strategic planning decisions. Ran cohort analysis on learner engagement data, identifying 3 critical drop-off segments and delivering targeted recommendations that improved program efficiency by 25%. Partnered with leadership to translate ambiguous business goals into concrete, trackable metrics — ensuring dashboard outputs reflected real strategic priorities, not vanity numbers.
AI & Data Analytics Intern
Edunet Foundation
Dec 2024 - Jan 2025
Processed and validated consumption records from 500+ facilities in Power BI, identifying $150K+ in actionable cost-saving opportunities presented directly to stakeholders. Built a Python regression model (Scikit-learn) achieving 92% accuracy in energy demand forecasting — enabling proactive resource allocation and reducing reactive procurement spend. Designed and executed A/B experiments with statistical significance testing to validate 4 energy-usage hypotheses, transforming assumptions into data-backed decisions. Automated the full sustainability reporting pipeline end-to-end via scripted ETL workflows, eliminating 70% of manual compilation time and reducing human error in monthly reports.
Data Analytics Intern
IBM SkillsBuild
Jul 2023 - Aug 2023
Cleaned and restructured 9,000+ retail transaction records in Python, improving data accuracy by 45% and establishing a validated foundation for all downstream business reporting. Built Matplotlib/Seaborn dashboards monitoring sales KPIs, inventory turnover, and customer segments — enabling same-day insight delivery to cross-functional reviewers. Applied RFM segmentation to identify $50K in revenue optimization opportunities, isolating high-value customer clusters representing 40% of total revenue.
Education
B.Tech in Data Science - Gyan Ganga Institute of Technology Sciences
- 2026 · Afghanistan
Certifications
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Skills (28)
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