AI Engineer with less than a year in Python, Machine Learning, and 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
Software Engineering student currently in 5th semester with a strong interest in Data Science. Skilled in Python and passionate about working with data. Developed projects focused on data filtering, visualization, and extracting meaningful insights. Eager to apply these skills in a real-world environment through an internship or entry-level opportunity.
COMSATS University Islamabad, Sahiwal Campus
BS Software Engineering · Software Engineering
N/A – June 30, 2024
NexaVault – Bank Management System
June 21, 2026 – Present
Developed a banking management system with secure user authentication using card number and PIN verification. Implemented core banking features including account creation, deposit, withdrawal, fast cash, balance inquiry, mini statement, and PIN update. Integrated a structured database for efficient transaction management, real-time updates, and secure data storage.
View ProjectAI Based Scam Detector
June 21, 2026 – Present
Developed an AI-based scam detection system using Python and Machine Learning with 95%+ prediction accuracy for fraudulent messages. Built a real-time text classification pipeline using TF-IDF vectorization and Multinomial Naive Bayes for scam analysis and prediction. Designed a modern desktop application with visual risk indicators and a balanced scam detection dataset.
View ProjectInvestigating Netflix Movies
June 21, 2026 – Present
Applied data filtering, boolean indexing on a Netflix dataset to identify trends and extract meaningful insights. Analyzed content release trends and genre distributions using groupby and aggregation techniques. Created visualizations to present findings and support data-driven analysis of entertainment content trends.
View ProjectExploring NYC School Test Scores
June 21, 2026 – Present
Analyzed NYC school SAT data to evaluate academic performance and overall score trends. Used loc, iloc, and selection methods to extract and analyze meaningful subsets of data. Identified top-performing schools through score calculations, sorting, and data filtering techniques. Performed borough-wise statistical analysis to compare score distributions across institutions.
View ProjectCultural Fit Analysis
The candidate's projects show a clear interest in data science and AI, which aligns well with an AI Engineer role. The diversity of academic projects (banking system, scam detector, data analysis) indicates a breadth of technical curiosity. However, all projects are academic, limiting insight into collaboration in a professional team setting or adaptability to diverse organizational cultures.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured problems and deliver functional prototypes. The academic nature of projects suggests a learning-oriented mindset. However, without professional experience or psychometric test results, it's difficult to assess stress handling, team collaboration, or broader operational fit.