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Data Science with less than a year in Python, Pandas & Scikit-Learn
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Junior Data Scientist with a strong foundation in Python, Pandas, and machine learning frameworks. Adept at data cleaning, analysis, and visualization, with practical experience in building data pipelines and extracting actionable insights from complex datasets. Committed to leveraging data-driven approaches to support strategic decision-making.
University of Karachi
BSCS
August 1, 2024 – Present
University of Karachi
BCS (Honors)
August 1, 2020 – June 30, 2022
Government Degree College for Women Block M
Intermediate · Pre-Engineering
June 1, 2017 – May 31, 2019
Viral Social Media Trends and Engagement Analysis
June 28, 2026 – Present
Built a data pipeline to clean and analyze social-media engagement data using Python and Pandas. Identified trends in platform performance, hashtags, and content types (videos ≈32% higher engagement). Produced insights using engagement-rate metrics to support content and marketing decisions.
View ProjectData Manipulation with Pandas
DataCamp
February 1, 2025 – Present
Intermediate Python
DataCamp
February 1, 2025 – Present
Introduction to Python
DataCamp
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's project and certifications align with a Data Science role, indicating a clear interest and foundational knowledge in the field. The diversity of projects is limited to one personal project. The candidate is currently pursuing a BSCS, which shows commitment to formal education in computer science. The target role is 'Data Science', which aligns with the candidate's stated skills and project.
Soft Skills & Operational Fit
The candidate lists 'Report Building' and 'Communication' as soft skills. The project description indicates an ability to derive and present insights, which aligns with these soft skills. However, without direct assessment data, the depth of these skills cannot be fully evaluated.