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Data Science with less than a year in Python, SQL & ML
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Business Data Analytics student at COMSATS University, with skills in Python, SQL, and data visualization. Passionate about turning raw data into insights for decision-making, with hands-on experience in analytics projects and internships.
COMSATS University, Islamabad
BS Business Data Analytics · Business Data Analytics
August 1, 2023 – June 30, 2027
Punjab Group of Colleges
FSc (Pre-Medical) · Pre-Medical
June 1, 2020 – May 31, 2022
IMCG F-8/1
Matriculation (Science) · Science
June 1, 2018 – May 31, 2020
Easypaisa Digital Bank
Data & Analytics Intern – Channels, Planning & Analytics
July 1, 2025 – August 31, 2025
Islamabad, Islamabad Capital Territory, Pakistan
Excelerate
Data Analyst Associate Intern
July 1, 2025 – August 31, 2025
Dubai, Dubai, United Arab Emirates
Real vs Fake Pakistani Currency Detection using CNN
June 1, 2026 – Present
Developed a Convolutional Neural Network (CNN) based deep learning model to classify Pakistani currency notes as Real or Fake using image processing techniques. Performed dataset preparation, model training, evaluation, and performance analysis. Deployed an interactive web application enabling users to upload currency images and receive real-time predictions. Implemented deployment using Flask, FastAPI, Streamlit, and Gradio. Documented and demonstrated the complete deployment pipeline.
View ProjectFraud Detection Automation System
June 1, 2026 – Present
Built a fraud detection system transitioning from rule-based logic to machine learning. Automated detection using Python (Pandas, NumPy, Scikit-learn) and deployed via Streamlit for interactive use.
Bankruptcy Prediction
June 1, 2026 – Present
Applied Logistic Regression, SVM, KNN, Naive Bayes, and Decision Trees on financial datasets. Deployed models with Flask and evaluated performance using accuracy, precision, recall, and F1-score.
Prediction of Hiring Needs
June 1, 2026 – Present
Developed a model to forecast organizational hiring requirements using ML algorithms. Integrated the solution with FastAPI, including EDA, feature engineering, and validation.
Exploratory Data Analysis on Pakistan's Health Data
June 1, 2026 – Present
Performed data cleaning and visualization using Pandas, Seaborn, and Matplotlib. Generated insights and recommendations through structured reporting.
Google Analytics
Great Learning Academy
January 1, 2024 – Present
Python & AI Bootcamp
Devtown, Microsoft Learn, AWS Community Builders
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse data science applications, from image classification to financial prediction and HR forecasting, indicating a broad interest in the field. The internships, though future-dated, align with data analysis and fraud detection, showing a practical application interest. The certifications in Google Analytics and Python/AI bootcamps demonstrate a proactive approach to learning and skill development. The candidate is currently a student, which aligns with a learning-oriented culture, but their experience level is very low for a senior role.
Soft Skills & Operational Fit
The candidate's involvement in extracurricular activities like Event Management and Badminton suggests teamwork, focus, and organizational skills. The project descriptions indicate an ability to document and present findings, which are good operational fit indicators. However, the experience level is very junior (internships in 2025), indicating a need for significant mentorship and structured guidance in a professional setting.