Presentation on Data science internship, credit card transaction fraud detection and analysis
- 2. 2 Student Name SUSHMITA ANNIGERI University RDPR UNIVERSITY Branch M.Sc Computer Science(Data Analytics) USN / Reg No: 2201502010 Internship Duration 4 Weeks ( 20th November 2023 to 20th December 2023) Company Internship Guide Mr. Amitkumar S , Application Developer InfiData Technologies
- 3. Contents 3 1. About InfiData Technologies 2. Internship Tasks 3. Introduction on Final Project 4. Software / Hardware Tools Details 5. Implementation Details 6. Skills Utilized 7. What I Learnt ? 8. Internship Outcomes 9. Project Demo / Screenshots 10.Conclusion
- 4. Internship Tasks 4 4 Task on: 1. Looping Statement Problems 2. Conditional Statement 3. Machine Learning Libraries: Numpy, Pandas, Seaborn and Matplotlib 4. Machine learning Algorithm and working with dataset 5. Project Work
- 5. Introduction to Project: Project Name: Credit Card Fraud Detection and Visualization introduction: • This is thee credit card transaction that contains legitimate and fraud transaction. • From the duration 1st January 2019 to 31st December 2020. • Location: USA • It covers the credit card transaction with 1000 customers. • Doing the transaction with 800 merchants. 5
- 7. 7 Dataset
- 8. Skills Utilized 8 1. Python programming 2. Machine Learning Algorithms
- 9. What I learnt ? 9 Technical skills: • Python • ML Algorithms • Working with Libraries and datasets Soft skills: • Teamwork • Communication Skills Management skills: • Project Management, • Time Management
- 10. Internship Outcomes 10 ● Proficiency on performing the libraries ● Basic Statistics ● Working with supervised and unsupervised machine learning algorithms ● Growth : Critical Thinking andanalysis ● Working with projects
- 11. Project Demo / Screenshots Displaying Gender
- 13. 13 Spending Category vs Fraud
- 14. 14 Age vs Fraud
- 15. 15 Cyclicity of credit card fraud -Hourly trend
- 16. 16 Weekly trend
- 17. 17 Monthly Trend
- 19. 19 Transaction amt vs fraud
- 20. Thank You 20