Business Intelligence Analyst with less than a year in SQL, Python, and Data Modeling.
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Evaluating your skill match against the job requirements…
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.