Awais Tahir

BS Data Science student (4th Semester, 2024–2028) with hands-on experience in Python, data analysis, and machine learning through internships and hackathons. Skilled in data cleaning, feature engineering, NLP-based recommendation systems, and predictive modeling. Passionate about solving data-driven problems and delivering scalable, impactful solutions.

Data Science Intern - Enliven Company - Remote

(2026-01)

• Engineered wait-time bucket features and resolved 12% missing-value rate in patient records, improving scheduling efficiency by ~20% and reducing average patient wait time by 15 minutes.
• Built a Movie Recommendation System using TF-IDF vectorization and cosine similarity on a 5,000+ movie dataset, delivering personalized content-based recommendations via Scikit-learn.

Hackathon Participant - Xeven Solutions - Lahore

(2024-01 - 2024-12)

• Performed end-to-end EDA on the Titanic dataset — applied outlier removal and data cleaning to surface actionable insights within a 6-hour time limit.
• Collaborated in a cross-functional team demonstrating leadership, problem-solving, and Python-based data processing skills under pressure.

BS - Data Science - Virtual University of Pakistan (2024-01 - 2028-12)

FSC - Pre-Medical - Glorious Science College, Faqirwali (2022-01 - 2024-12)