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AI Engineer with 1+ years in Machine Learning & Deep Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Artificial Intelligence undergraduate with hands-on experience in machine learning, deep learning, and predictive analytics using Python, TensorFlow, and Scikit-learn. Skilled in building AI solutions for computer vision, NLP, and classification problems. Familiar with modern AI tools including Hugging Face and OpenCV. Seeking internship opportunities in AI and Data Science to contribute to real-world production-grade projects.
Hazara University, Mansehra
Bachelor of Science · Artificial Intelligence
August 1, 2023 – June 30, 2027
Decode Labs
Data Science Intern
January 1, 2025 – Present
India
Customer Churn Prediction
June 23, 2026 – Present
Engineered a comprehensive classification model on a structured Telecom dataset to identify high-risk customer churn. Executed detailed Exploratory Data Analysis (EDA), data cleaning, and targeted feature engineering to extract key behavioral drivers and significantly optimize overall model accuracy.
House Price Prediction
June 23, 2026 – Present
Developed an advanced predictive regression framework using XGBoost algorithms on the Kaggle Ames Iowa Housing dataset. Implemented deep feature engineering and custom preprocessing pipelines across 80+ structural variables to minimize prediction error.
Social Media Sentiment Analysis
June 23, 2026 – Present
Built an end-to-end NLP text classification pipeline utilizing Naive Bayes and Logistic Regression. Streamlined raw text preprocessing, implemented TF-IDF vectorization feature extraction, and conducted cross-validated model evaluation using Scikit-learn.
Convolutional Neural Networks
DeepLearning.AI (Coursera)
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's profile shows a strong alignment with an AI Engineer role, particularly in machine learning and deep learning. The projects cover diverse areas like churn prediction, house price prediction, and sentiment analysis, indicating a broad interest and foundational skill set in AI applications. Participation in Kaggle competitions suggests a drive for continuous learning and problem-solving, which is a positive cultural indicator. The current internship further reinforces a commitment to professional development in the field. However, the experience level is still early career, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude through participation in Kaggle competitions and a current internship. The project descriptions indicate an ability to work through complex data science pipelines from EDA to model evaluation. Collaboration skills are mentioned in the internship description. However, without specific psychometric or English test results, a deeper assessment of stress handling, team collaboration, and communication clarity in a professional setting is limited.