Sixteen Indian-origin people in US have been charged for their alleged role in a massive stolen credit card which also include a women and identity theft operation resulting in losses of over USD 3.5 million to individuals, financial institutions and retail businesses.
The leader of the massive fraud scheme was identified as Muhammad Rana (40) of Queens in New York, who was helped by his deputy Inderjeet Singh (24).
All 30 individuals have been charged as authorities cracked down on the extensive stolen credit card and identity theft ring.
The ring was allegedly responsible for stealing the personal credit information of hundreds of consumers and costing the individuals, financial institutions and retail businesses more than USD 3.
5 million in losses over the course of the alleged scheme.
Others charged in the multiple-count indictment are Sonam Kukreja, 26, Balwinder Singh, 36, Ranjet Singh, 30, Ankit Chadha, 29, Kamaljot Singh, 24, Tanveer Sidhu, 25, Gauruv Chhabra, 33, Pradeep Grover, 46, and Gurbachan Singh, 55, Shingara Singh, 28, Sukhjinder Singh, 32, Tajinder Singh, 25, Vinny Maksudpuri (age not given), Varinder Singh, 27, of 118th Street in Richmond Hill, Queens.
Queens District Attorney Richard Brown said yesterday many of the defendants charged are accused of going on shopping sprees, purchasing tens of thousands of dollars’ worth of high-end electronics and fashion merchandise with forged credit cards that contained the account information of unsuspecting consumers.
As part of their alleged scheme, the defendants ordered new credit cards for cardholders and stole them out of the cardholders' mailboxes when they were delivered, Brown added.
Brown said 24 search warrants were executed earlier this week throughout Queens and Nassau Counties and numerous items recovered - including USD 400,000 in cash, numerous gold coins and gold bars valued at about USD 1,300 dollars each - binders with the personal information of hundreds of thousands of individuals, firearms, card readers and various amounts of raw material, such as blank credit cards and fake identifications.
