Anand Kumar

To seek and maintain full-time position that offers professional challenges utilizing interpersonal skills, excellent time management and problem-solving skills. Develops strategies, provides training, sets goals and obtains team feedback. Data Scientist familiar with gathering, cleaning and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic and other analytical techniques. Highly organized, motivated and diligent with significant background in data analytics by using Python, SQL and PowerBI tool.

• The findings are as below:
• 1.The number of cards that have been issued so far by your bank.
  2.The number of users who use the card.
  3.The average amount of transactions.
  4. The transactions increase for a particular month/day/time.
  5.The number of online/chip/swipe transactions if it was done.
  6. The top and bottom 10 merchants both in terms of transactions and amount.
  7. The top and bottom 10 merchant states both in terms of transactions and amount.
  8.The top and bottom 10 merchant category codes both in terms of transactions and amount.
  9. The overall fraud rate for your cards portfolio.
  10. If any merchant category having the high fraud rate then found the merchant category.
  11. The total fraudulent amount that your bank has incurred so far.
  12.The number of users and cards were affected by the fraudulent transactions.
  13. Created the classification model to predict the fraud.

I love to play cricket.