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Data Science with less than a year in Python, Data Analysis & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated Data Science student (6th Semester, University of Haripur) with hands-on experience in Python, data analysis, and machine learning fundamentals. Seeking opportunities to apply skills in automation, data cleaning, and predictive modeling to deliver real-world, data-driven solutions. Committed to continuous learning and building a successful career in Data Science and AI.
University of Haripur
BS · Data Science
August 1, 2023 – Present
Govt. PG Jahanzeb College, Saidu Sharif, Swat
Intermediate · Computer Science
June 1, 2020 – May 31, 2022
Swat Public School & College, Mingora, Swat
Matriculation · Science Group
N/A – May 31, 2020
Sales Data Analysis & Visualization
January 1, 2023 – June 1, 2026
Cleaned and preprocessed raw sales datasets to remove duplicates and handle missing values. Generated trend charts and dashboards using Matplotlib and Excel to communicate key insights.
Machine Learning Classification Model
January 1, 2023 – June 1, 2026
Implemented supervised classification algorithms (KNN, Decision Tree) on real-world datasets. Evaluated model performance using accuracy, precision, and recall metrics.
Data Analysis (The Analyst)
YouTube
January 1, 2025 – Present
Office Automation
Max Tech Institute
January 1, 2025 – Present
Intro to Machine Learning
Coursera
January 1, 2024 – Present
Python for Beginners
Coursera
January 1, 2024 – Present
Microsoft Excel Basics
Coursera
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic background and project work indicate a strong interest and foundational alignment with a Data Science role. The pursuit of multiple online certifications demonstrates a proactive learning attitude. However, the projects are academic and lack real-world, collaborative, or diverse industry exposure, which might limit immediate cultural integration into a fast-paced, team-oriented professional environment without further development.
Soft Skills & Operational Fit
The candidate lists communication, problem-solving, team collaboration, time management, and being a fast learner as soft skills. While these are valuable, there is no empirical evidence from the provided data (e.g., work experience, project descriptions detailing collaboration) to validate their operational fit or proficiency in these areas beyond self-assessment. The academic projects are individual contributions.