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Aspiring Software Engineer | Machine Learning & Data Analytics | Built YOLO Traffic System, Digit Recognition & Loan Prediction Projects
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Student at Lords Institute of Engineering & Technology
Machine Learning
June 14, 2026 – Present
loan-prediction-ml
April 15, 2026 – Present
Loan Approval Prediction System using Machine Learning and Django
View Projectdigit-recognition-ml
April 15, 2026 – Present
Handwritten Digit Recognition using Deep Learning with Python, TensorFlow, and OpenCV
View ProjectSmart-Traffic-Management-YOLO
February 26, 2026 – Present
Real-time traffic density detection using YOLOv8 with dynamic signal timing estimation.
View Project160923733288-GaoherAli
August 17, 2025 – August 17, 2025
160923733288-GaoherAli — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards Machine Learning, aligning with the target role. However, the diversity of projects outside ML (Java, TypeScript/CSS/JavaScript) suggests a broad interest but also a potential lack of deep specialization in ML alone. The candidate is currently a student, indicating a foundational stage in their career.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.