About
Data Analyst with hands-on experience across the full analytics lifecycle — from data ingestion and cleaning to dashboard development and stakeholder reporting. Skilled in building Business Intelligence (BI) solutions using Python, SQL, Tableau, and Excel, with foundational knowledge of Machine Learning (Supervised Learning) applied to predictive analysis. Track record of turning multi-million-record datasets into actionable, decision-ready insights.
Skills & Expertise (19)
Work Experience
Data Analytics & Data Science Intern
Webcos Software Solutions
Feb 2026 - May 2026
Conducted statistical analysis across 3+ real-world datasets (10,000–50,000 rows) using Python (Pandas, NumPy) for cleaning, preprocessing, and numerical computing, reducing raw-to-insight turnaround time by 40%. Built 2 interactive BI dashboards using Matplotlib and Advanced Excel to track 8+ KPIs, enabling non-technical managers to monitor operations independently. Performed comprehensive EDA on structured datasets, translating findings into stakeholder-ready reports and clear visual outputs. Designed a data model linking transactional records to category-level metrics, improving reporting accuracy and supporting data-driven decisions. Completed a 90-day analytics program under ISO 9001:2015 certified processes, maintaining 100% deadline adherence.
Data Analytics Trainee (Practicum)
Learnovate
Jan 2025 - Jan 2025
Developed a dynamic performance-tracking dashboard using pivot drill-downs and interactive KPI charts, cutting manual reporting effort by 30%. Applied EDA and statistical techniques (Pandas, NumPy) on datasets of 5,000–20,000 rows, identifying 3+ actionable business trends per dataset.
Education
Bachelor of Computer Applications (BCA) in Data Analytics - Babu Banarasi Das University
- 2026 · Afghanistan
Certifications
Certificate of Excellence in Data Analytics & Data Science
Webcos Software Solutions · 2026
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Open to Relocation
Skills (19)
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