Aspiring Software Engineer | Machine Learning & Data Analytics | Built YOLO Traffic System, Digit Recognition & Loan Prediction Projects
AI is analyzing your overall score…
Identifying your key strengths…
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.