Saturday, July 21, 2018

-Double the amount of money in your bank using Credit Cards if you reside in Singapore with 2 Singapore Credit Cards and a Savings Account in Malaysia- Written by Microsoft and Microchip Engineering Consultant Chan Junt Hoong MIET MIEEE BEng CEng.

I have the amount of saving in my Malaysian bank account RM15,000 in one monthly fixed deposit.
I have RM5,000 ringgit in savings account in the savings accounts.

I have a Singapore Credit Card with SGD6,000 in debt( owing the bank SGD6,000).
I have another Singapore Credit Card from another Singapore bank with SGD0 in debt( that means unused) with RM SGD 6,000 limit for both cards.

At the end of the month, I transfer SGD3,000 from the unused Singapore Credit Card to pay the other SGD Singapore Credit Card with SGD6,000 in debt. The SGD amount becomes SGD3,000 after payment of the Credit Card debt.

Both Singapore Credit Cards now have SGD3,000 in debt.

The RM5,000 in savings is changed to SGD1694 dollars. This is transferred to pay the credit card debt in Singapore of SGD3000 of 1 Singapore Credit Card bank  and the amount at the end of the month is SGD1,306 in debt.

In other words, there are 2 Singapore Credit Cards with SGD1,306 in debt and another SGD3,000 in debt.

I have RM15,000 in Malaysian Fixed Deposit, Ready to pay the SGD6,000 actually at th4e start of the month. The total amount is actually RM17,700 from my savings account.

At the end of the month, my salary of SGD1,000 comes in and I pay the SGD Credit Card of SGD1,306 in debt and the remaining amount is SGD306 in debt and the other is SGD3,000 debt.

I now have 2 options , 1) to pay SGD 3,000 from the Singapore Credit Card to complete
                                         the SGD3,000 in debt of the other credit card, in other words 1 SGD Credit
                                         card would be SGD3,306 in debt and the other SGD0 in debt.

                                    2) to transfer SGD3,000 to my Malaysia savings account from my Singapore
                                        SGD306 in debt Credit Card, the  amount would be RM8850 without bank
                                        charges from Malaysia and Singapore and conversion charges.

By going with option 1) , I have in my account in Malaysia, RM15,000 and savings of RM2,300 ringgit and in Singapore a Credit Card debt of SGD3,306 and the other Credit Card in Singapore SGD0 dollars.

In summary , I have RM17,300 and SGD3,306 in debt at the end of the month.
At the start of the month, it was RM20,000 and SGD6,000 in debt.
I have made an amount of
1) RM17,700 -RM9752.70 = RM7947.30 with complete payment of my SGD Credit Cards debt at the end of the month.

2) of which at the beginning of the month, the debt was SGD6,000 from both Credit Cards and savings of RM 20,000.

RM20000 - RM17700 = RM2,300
This is the savings remaining at the start of the month.

Total I have made = RM 7947.70-RM2,300
                              = RM5647.30.

This includes the 1 month salary at the end of the month of SGD1000.

RM5,647.30 - RM2,950 = RM2,697.30 .

This is the gross amount of profit for 1 month RM2,697.30 without any Singapore Credit Card debt at the end of the month.


By option 2) By transferring SGD3,000 to my Malaysian bank account the total in my bank account in savings becomes

RM2,300 + RM8,850 =. RM11,150.

The Malaysian Fixed Deposit of RM15,000 and Malaysian savings account of RM11,150.
RM15,000 + RM11,150 = RM26, 150.

This amount converted to Singapore dollars is SGD 8864.40.

Total Singapore Credit Card debt is SGD3,306 + SGD3,000 = SGD 6,306.

Net Profit at the end of the month is SGD8864.40 -SGD6,306 = SGD 2558.40 .

The amount of net profit is SGD2258.40 without any Singapore Credit Card debt at the end of the month with my 1 month salary of SGD1,000.


Notice: This is written with conversion of RM 2.95 to 1 Singapore Dollar and with both ways of conversion of Singapore and Malaysian dollars, RM2.95= $1 or $1=RM2.95.

Any errors on this written mathematical calculation is not intended or done on purpose. This is not to be followed without any professional or expert guidance from the banks or bank officers of Malaysia and Singapore and with Government consent of Malaysia and Singapore.

Any errors on this page is not intended. Please be careful of mistakes and errors in calculations.

Written by Mr. Chan Junt Hoong MIET MIEEE BEng CEng, Engineering Consultant.
http://engineeringandcomputerworks.com
http://engineeeringcomputerworks.com

Office: Engineering and Computer Works .



Wednesday, July 18, 2018

Stealth Planes

https://www.google.com/search?q=show+stealth+fighter&hl=en&site=service/GBot/LowPrioritySearch&tbm=isch&tbo=u&source=univ&fir=aDuYFShd13cOBM%253A%252CNMI-WBSe9IjrjM%252C_%253Bcr3iv8LNwNuTFM%253A%252CLIsXvptwnQQ8QM%252C_%253Bq7rryhqvUnwJoM%253A%252CJTHFYdygO_YGBM%252C_%253BddRZIBPLhYy7sM%253A%252C8qzr8foNtPlWqM%252C_%253Bt4Fhiuvql7KrUM%253A%252CLPF6ndRhgsUByM%252C_%253BPoLrTAWtBdLUsM%253A%252CArJM9xtXgRrVCM%252C_%253BH81K6yuP23yk1M%253A%252Ch6O8b8mys-NAnM%252C_%253BRze8mAJM4sIaIM%253A%252CwxGhbYgZWBezcM%252C_%253B3spadxRfeIzpbM%253A%252CtXUfZF7dpRtQ1M%252C_%253BkJHUt4ib3sATfM%253A%252CUt16s9PAU1up9M%252C_%253BZAy2M3T-fWfapM%253A%252ChUGpMM7k9cYWUM%252C_%253BmxfKujCGAzljEM%253A%252C1Hp-vHs5YFKwrM%252C_&usg=__xITUisYqKUWVTiM9_Z4AnZ5pjgQ%3D&ved=2ahUKEwj9_9iFn6rcAhVLqI8KHZm-BlYQ4216BAgAEA0

Tuesday, July 17, 2018

This is the Guoliang Tunnel. Does the name help you guess where we are?



https://www.bing.com/search?q=Guoliang+Tunnel&setmkt=EN-US&filters=IsConversation%3A%22True%22+WQOskey%3A%22Spotlight_TaihangMountains%22+WQId%3A%221%22+catguid%3A%22OrionC00C53B6102AAD7C81ABC36083C8CBAD%22&FORM=ML15KY

Saturday, July 14, 2018

My 2 Orchids, White Orchid and Purple Orchid on my corridor outside my HDB Flat in Admiralty, Woodlands Circle, Woodlands, Singapore.

My 2 Orchids, White Orchid and Purple Orchid on my corridor outside my HDB Flat in Admiralty, Woodlands Circle, Woodlands, Singapore.


http://engineeringandcomputerworks.com
http://engineeeringcomputerworks.com
Email: cjhoong@msn.com ; chanjunthoong@theiet.org; chan_junt_hoong@ieee.org .

Wednesday, July 11, 2018

Winning the Pooh map at Million Dollar Auction Grand Scale.

Check out @CNN’s Tweet: https://twitter.com/CNN/status/1017263106857238528?s=09

Android Games

Check out @GooglePlayDev’s Tweet: https://twitter.com/GooglePlayDev/status/1016245574520197120?s=09

Tuesday, July 3, 2018

Chan Junt Hoong MIET MIEEE BEng CEng cycling on my exercise bicycle in my home (Small Office Home Office) in Admiralty, Woodlands Circle, Woodlands, Singapore.

Chan Junt Hoong MIET MIEEE BEng CEng cycling on my exercise bicycle in my home (Small Office Home Office) in Admiralty, Woodlands Circle, Woodlands, Singapore.



http://engineeringandcomputerworks.com/
http://engineeeringcomputerworks.com/
http://engineeeringcomputerworks.com/blog/
http://usemud868a.blogspot.com/
email: cjhoong@msn.com, chanjunthoong@theiet.org, chan_junt_hoong@ieee.org

Sunday, July 1, 2018

Microsoft Family






http://engineeringandcomputerworks.com/
http://engineeeringcomputerworks.com/
http://engineeeringcomputerworks.com/blog/
http://usemud868a.blogspot.com/
email: cjhoong@msn.com, chanjunthoong@theiet.org, chan_junt_hoong@ieee.org

Top-Paying Jobs in the Gig Economy Are in Tech - IEEE - The Institute

If you can write algorithms for machine learning programs, you can earn an average of US $115 per hour as a freelancer. —from IEEE The Institute



Top-Paying Jobs in the Gig Economy Are in Tech - IEEE - The Institute

If you can write algorithms for machine learning programs, you can earn an average of US $115 per hour as a freelancer. —from IEEE The Institute

http://theinstitute.ieee.org/ieee-roundup/blogs/blog/toppaying-jobs-in-the-gig-economy-are-in-tech

http://theinstitute.ieee.org/ieee-roundup/blogs/blog/toppaying-jobs-in-the-gig-economy-are-in-tech

Microsoft Windows Bing Search