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Data Science with less than a year in Machine Learning, Deep Learning, and Computer Vision
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Assessing your cultural and operational fit
Results-driven AI and Data Science professional with strong command of Python, machine learning, deep learning, and computer vision. Completed an intensive 25-week AI & Data Science programme at SMIT and gained hands-on industry experience as a Computer Vision Intern at Elite IT Team, where she trained models for real-world image analysis. Skilled at building predictive models, performing end-to-end data analysis, and developing intelligent AI-powered systems. Passionate about turning complex data into clear, actionable insights that drive smarter decisions.
Abdullah College
Intermediate (Higher Secondary Certificate)
N/A – May 31, 2025
Elite IT Team
Computer Vision Intern
November 1, 2025 – December 31, 2025
Karachi, Sindh, Pakistan
AI Monitoring System
June 19, 2026 – Present
Designed an intelligent real-time monitoring system using AI and computer vision to detect anomalies and generate automated alerts, reducing manual oversight significantly
UGC Video Generation for Make-up Products
June 19, 2026 – Present
Built a generative AI pipeline to produce user-generated content (UGC) style promotional videos for cosmetic brands by combining LLMs with media generation tools
Breast Cancer Detection
June 19, 2026 – Present
Applied logistic regression to the Breast Cancer Wisconsin dataset achieving strong classification accuracy in distinguishing malignant from benign tumours
Customer Segmentation
June 19, 2026 – Present
Segmented a retail customer base into actionable groups using K-Means clustering, enabling data-driven targeted marketing strategies for business growth
Recommendation System
June 19, 2026 – Present
Developed a collaborative filtering recommendation engine inspired by industry leaders like Netflix and Amazon to deliver personalised content and product suggestions to users
Fake & Real News Detection
June 19, 2026 – Present
Built an NLP-powered classification pipeline to automatically identify fake versus real news articles using machine learning and text feature extraction techniques
AI and Data Science Programme - 25 Weeks (Beginner to Advanced)
SMIT - Saylani Mass IT Training
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, covering NLP, computer vision, generative AI, and traditional machine learning, suggests a broad interest and adaptability, which are positive indicators for cultural fit in a dynamic data science team. The internship experience, though short, shows an ability to collaborate and learn best practices. The completion of a comprehensive AI and Data Science program further demonstrates a commitment to continuous learning and growth.
Soft Skills & Operational Fit
The candidate's resume highlights analytical thinking, problem-solving, attention to detail, communication, and self-learning as soft skills. These are crucial for a Data Science role, indicating a good operational fit for independent work and collaborative environments. However, without specific assessment data on these, this remains an inference from self-reported skills.