
Arfa Naaz
@arfanaaz
Aspiring analyst with IT and business analytics experience, including a machine-learning project to detect credit card fraud.
What I'm looking for
At SkillForge, I worked on a Credit Card Fraud Detection project using Machine Learning. I cleaned and preprocessed data, identified fraudulent transactions, and evaluated model performance to distinguish fraudulent and genuine transactions.
At JAIN College, I worked on an academic project called “Personalized Recommendation System for E-Commerce Platforms.” It explored TF-IDF and cosine similarity to identify similar products and generate recommendations based on user preferences and product information.
The recommendation project also gave me exposure to building a web-based application using Flask and MongoDB. It helped me understand how recommendation systems can help shoppers discover relevant products.
Alongside my studies, I worked on the Leadzin platform, promoting educational courses, generating leads, and engaging with potential learners. I’m keen to explore opportunities where I can apply my strengths, gain hands-on experience, and contribute to meaningful business outcomes.
Experience
Work history, roles, and key accomplishments
Intern
SkillForge
Jan 2025 - Feb 2025 (1 month)
Worked on a Credit Card Fraud Detection project using Machine Learning. Gained experience in data cleaning, preprocessing, identifying fraudulent transactions, and evaluating model performance to distinguish fraudulent and genuine transactions.
Education
Degrees, certifications, and relevant coursework
Sree Mahaveer jain school
SSLC
JAIN College
BCA, computer application
2023 - 2026
Worked on an academic project titled “Personalized Recommendation System for E-Commerce Platforms,” focused on providing relevant product recommendations based on user preferences and product information.
The project explored the use of data science techniques, including TF-IDF and cosine similarity, to identify similarities between products and generate recommendations. It also provided exposure
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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