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Business Intelligence Analyst with less than a year in SQL, Python, and Data Modeling.
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Assessing your cultural and operational fit
Malaika Sadiq is an aspiring Business Intelligence Analyst with 0.7 years of experience in data analytics and machine learning. She has a strong foundation in SQL, Python, and AWS QuickSight, enabling her to build robust data pipelines and deliver actionable insights. Her academic background in Computer Science and hands-on projects in E-commerce BI Dashboards and computer vision systems showcase her analytical prowess and technical skills in handling complex data for informed decision-making.
Forman Christian College (A Chartered University)
BS (Hons) Computer Science · Computer Science
August 1, 2021 – June 30, 2025
Beaconhouse School System
A levels · Maths, Chemistry, Physics
June 1, 2019 – May 31, 2021
Ginkgo Retail
Business Intelligence Analyst
September 1, 2025 – Present
Lahore, Punjab, Pakistan
Forman Christian College University
Teaching Assistant
September 1, 2024 – June 1, 2025
Lahore, Punjab, Pakistan
E-Commerce BI Dashboards
June 25, 2026 – Present
Designed end-to-end data pipelines from raw transactional data to dashboard-ready datasets, applying normalization, deduplication, and business logic transformations. Applied data modeling principles and reconciliation techniques to ensure consistency, accuracy, and traceability across complex, multi-dimensional e-commerce datasets.
View ProjectCrashAnalytix (FYP)
June 25, 2026 – Present
Developed a computer vision system using YOLOv12 to detect and analyze road traffic accidents from uploaded videos, achieving 91% mAP in accident detection. Built a full-stack web application using Flask and React to analyze accident severity, identify involved entities, capture key snapshots, and generate a final PDF report in under 5 seconds.
License Plate Recognition System
June 25, 2026 – Present
Developed an object detection system using YOLOv11 to identify and extract license plates from vehicle images, achieving 89% recognition accuracy. Preprocessed image data and fine-tuned the model to enhance detection accuracy and runtime performance. Integrated EasyOCR to accurately read license plate numbers.
Cultural Fit Analysis
The candidate's academic projects showcase a diverse skill set beyond core BI, including machine learning and full-stack development, indicating intellectual curiosity and adaptability. The current role as a Business Intelligence Analyst aligns directly with the target role, demonstrating clear career focus. The breadth of technologies used across projects (SQL, AWS QuickSight, Python, PyTorch, Flask, React) suggests a willingness to learn and apply various tools, which is beneficial for dynamic team environments. However, the experience is primarily academic and entry-level, so the depth of real-world, complex problem-solving in a corporate BI setting needs further validation.
Soft Skills & Operational Fit
The candidate's experience in client engagement for requirement gathering and support, as well as assisting in a software engineering course, suggests developing communication and teamwork skills. The project descriptions are clear and concise, indicating good written communication. The academic background and project diversity suggest a proactive and learning-oriented attitude.