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Data Science with less than a year in Machine Learning & Analytics
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Assessing your cultural and operational fit
Recent Computer Science graduate with 8 months of combined internship experience in data consulting, analytics, and app development. Proficient in Python, SQL, and machine learning techniques, with a strong focus on data-driven problem-solving and building scalable analytics systems. Eager to leverage skills in AI-integrated projects and contribute to impactful data science initiatives.
COMSATS University Islamabad
Bachelor of Science · Computer Science
August 1, 2022 – June 30, 2026
Convergent Business Technologies
Data Consulting & Analytics Intern
February 1, 2026 – Present
Islamabad, Islamabad Capital Territory, Pakistan
Zixel
App Development Intern
November 1, 2025 – January 1, 2026
Islamabad, Islamabad Capital Territory, Pakistan
ACELT (FYP)
January 1, 2025 – January 1, 2026
AI-integrated IELTS/TOEFL preparation app with structured learning modules and interactive community features. Firebase for authentication, real-time data handling, and user management. Applied AI-based automated test evaluation and performance tracking system.
Thyroid Detection
January 1, 2025 – December 31, 2025
An ML system to detect thyroid disease using medical data and classification algorithms. Applied preprocessing, feature engineering, and evaluated models (KNN, SVM, Random Forest). Achieved 91.6% accuracy with Random Forest through feature refinement and model tuning.
Suicide Detection
January 1, 2025 – December 31, 2025
Developed a machine learning model to detect suicidal tendencies from text data. Applied NLP techniques and classification algorithms (Logistic Regression, SVM, Random Forest) to achieve reliable prediction.
Coffee Shop Sales Analysis
January 1, 2025 – December 31, 2025
Analyzed coffee shop sales data to identify loss-making products and profitability trends. Recommended data-driven strategies to optimize sales and increase profit margins.
Six Months of AI and Data Science Training
Codanics
June 1, 2026 – Present
Data Visualization and Dashboards with Excel and Cognos
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying data science concepts, including personal projects and an academic final year project. The diversity of projects (medical, text analysis, sales) shows a broad interest in applying data science to different domains. The internship at Convergent Business Technologies aligns well with a data-driven culture. However, the 'App Development Intern' role, while valuable for general software engineering, does not directly contribute to cultural fit for a pure Data Science role. The candidate is still pursuing a bachelor's degree, indicating a strong learning orientation, which is a positive cultural trait. The lack of extensive professional experience means cultural fit is primarily inferred from academic and personal initiatives.
Soft Skills & Operational Fit
The candidate lists problem-solving, attention to detail, teamwork, quick learning, and effective communication as soft skills. The project descriptions indicate an ability to work on complex problems and deliver measurable results (e.g., 91.6% accuracy). The internship at Convergent Business Technologies suggests an interest in data analytics and engineering pipelines, which aligns with operational aspects of data science. However, the 'App Development Intern' role at Zixel, while demonstrating C++ and software engineering, is less directly relevant to a Data Science operational fit.