About
Data Analyst with hands-on experience in Python, SQL, and data visualization, gained through a data analytics internship and independent end-to-end analytics projects. Skilled in data cleaning, exploratory data analysis (EDA), statistical analysis, and dashboard-ready reporting using Pandas, NumPy, Matplotlib, Plotly, and Tableau. Strong foundation in object-oriented programming (OOP) and data structures for building analysis-ready Python applications. Seeking an entry-level Data Analyst, Data Science, or Python Developer role to deliver clear, data-driven insights that support business decisions.
Skills & Expertise (25)
Work Experience
Data Analytics Intern
ElevanceSkills
Jul 2026 - Jul 2026
Performed exploratory data analysis (EDA) on a Google Play Store dataset of ~10,000 apps using Python, Pandas, and NumPy to identify the categories and apps with the highest install counts. Cleaned and preprocessed raw data — resolving missing values, duplicates, and inconsistent formatting — to improve dataset accuracy and reliability for analysis. Designed install-count and category-performance visualizations in Plotly and Matplotlib, making top-performing apps easy to identify at a glance. Localized app category labels into multiple languages, enabling a multilingual, stakeholder-facing dashboard for a global audience. Received a Letter of Recommendation and Certificate of Internship from ElevanceSkills for consistently exhibiting professionalism, strong analytical thinking, and proactive contribution to team objectives.
Education
Master of Computer Applications (MCA) - International School of Technology and Sciences for Women
- 2025 · Afghanistan
B.Sc. Computer Science - Shankari Degree College
- 2023 · Afghanistan
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Skills (25)
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