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ML Engineer with less than a year in Python & Data Analysis
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine Learning Engineer and Software Engineering graduate with a strong foundation in Python, data analysis, and machine learning concepts. Hands-on experience in developing, training, and deploying ML models using scikit-learn, Pandas, NumPy, and Streamlit. Certified in Microsoft Azure AI Fundamentals (AI-900) with exposure to cloud-based AI services and modern no-code automation platforms. Passionate about building intelligent solutions and continuously learning emerging AI technologies.
University Of Gujrat
Bachelor of Science · Software Engineering
August 1, 2021 – June 30, 2025
Superior Group of Colleges
Fsc · Pre-Engineering
June 1, 2018 – May 31, 2020
Movie Recommendation System
June 21, 2026 – Present
Implemented a content-based recommendation system using cosine similarity. Vectorized movie metadata using NLP techniques. Integrated TMDB API to display real-time movie details. Deployed an interactive recommendation interface using Streamlit.
View ProjectFraud Detection System
June 21, 2026 – Present
Built a fraud detection ML model using Logistic Regression and Random Forest. Performed data cleaning, feature engineering, and handling class imbalance. Achieved ~80%+ accuracy on validation data. Deployed the model using Streamlit for real-time predictions.
View ProjectDigital Marketing
DigiSkills.pk
June 1, 2026 – Present
Advanced Web Development
Adan IT Centre
June 1, 2026 – Present
Microsoft Azure AI-900 – Azure AI Fundamentals
Azure AI Fundamentals
June 1, 2026 – Present
Introduction to Front-End Development
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a passion for applying ML to real-world problems (fraud detection, recommendation systems). The 'Food Cycle' project shows an interest in social impact, which can be a positive cultural fit for organizations valuing purpose-driven work. The breadth of skills listed, including front-end development and digital marketing certifications, suggests a curious and continuous learning mindset. However, the lack of professional experience limits the ability to fully assess cultural fit in a corporate setting.
Soft Skills & Operational Fit
The candidate's resume indicates collaboration in a team environment and leading documentation/testing activities for a mobile application project, suggesting an ability to work within operational frameworks. The project descriptions are clear and concise, indicating good communication skills in a technical context. However, without specific behavioral assessment data, a deeper analysis of soft skills and operational fit is limited.