SU M M AR Y	PR O JE C TSED U CAT IO NTEC H NIC AL S K IL LSC ER T IF IC AT IO NS	Ben galu ru ,  K arn ata k a	
aam ir 8 20 02@ gm ail.c o m	+9 17 0 0636 80 91	
A AM IR  A SH RAF
CSE  G ra d uate
A s a  r e ce n t C om pute r S cie n ce  E ngin eerin g g ra d uate  a n d d yn am ic  e n tr y -le ve l p ro fe ssio n al,  I  a m  w ell- v e rs e d  i n
m ajo r c o m pute r p ro gra m min g l a n gu ag es,  d em on str a tin g p ro fic ie n cy i n  P yth on .  A ctiv e ly  c u lt iv a tin g e xp ertis e  i n
D ata  S cie n ce .  I  a m  r e co gn iz e d  f o r a d ap ta b ili t y ,  i n nova tio n ,  a n d a  p ro ac tiv e  a p pro ac h .  E ag er t o  l e ve ra g e m y s k ills
a n d k n ow le d ge i n  D ata  A naly tic s,M ac h in e L earn in g a n d S o ft w are  D eve lo p m en t t o  c o n tr ib u te  m ean in gfu lly  i n  a	
d yn am ic  w ork  e n vir o n m en t a n d s u pport t h e s u cce ss o f y o u  t e am .	                                                       	
S u cce ssfu lly  c o m ple te d  a  p ro je ct f o cu se d  o n  d is e ase  d ete ctio n  i n
p la n t l e ave s.
Im ple m en te d  C on vo lu tio n al N eu ra l N etw ork  ( C N N) f o r d is e ase
id en tif ic atio n  a n d r e m ed ie s.
C on tr ib u te d  t o  a g ric u lt u ra l a n d e n vir o n m en ta l s u sta in ab ili t y
t h ro u gh  i n nova tiv e  t e ch n olo gy.
A cq u ir e d  k n ow le d ge a n d p ra c tic al e xp erie n ce  i n  m ac h in e
le arn in g a lg o rit h m s,  i n clu d in g K -N eare st N eig h bo rs  ( K N N) 	a n d	
Lin ear R eg re ssio n .
E m plo ye d  P yth on  p ro gra m min g f o r a  p ro je ct a im ed  a t a sse ssin g
th e q u ali t y  o f w in es.
P ro fic ie n tly  d eve lo p ed  J a va  A pple ts  f o r t h e p ro je ct&#039;s  f r o n t- e n d
in te rfa c e .
E ffe ctiv e ly  i n te g ra te d  a n d u tili z e d  M yS Q L f o r d ata b ase
m an ag em en t a n d s to ra g e.	
B ac h elo r&#039;s  D eg re e i n  C om pute r S cie n ce  E ngin eerin g
20 17	 &ndash;  2 0 23	
H ig h er S eco n dary  ( 1 0 +2 )
20 16	
P ro gra m min g l a n gu ag es:  C ,  C ++,
Ja va S crip t,  J a va ,  P yth on .
W eb  D eve lo p m en t:  H TM L5,  C SS.
D ata b ase  m an ag em en t:  M YSQ L,
M on go D b.
M ac h in e L earn in g
D ata  S cie n ce
G oogle  D ata  A naly tic s	 	
P yth on  E sse n tia ls  I  ( C is c o )
P yth on  E sse n tia ls  I I ( C is c o )
Ja va S crip t E sse n tia ls  I  ( C is c o )	
L eaf D is e ase  D ete ctio n  &amp;  R em ed y u sin g C N NW in e Q uali t y  A naly sisH ote l M an ag em en t S yste mV is v esv ara y a T ech n olo gic a l U niv ers it yS ri P ra ta p  H ig h er S eco n dary  S ch oolS O FT  S K IL LS	Tim e m an ag em en t
A dap ta b ili t y
P ro ble m  S o lv in g
C om mun ic atio n
T eam  P la y e r	
E X PE R IE N CEKaru n ad u  T ech n olo gie s P riv ate  L im it e d
In te rn sh ip  E xp erie n ce  |  0 9/ 20 21 -  1 0 / 20 21	
D eve lo p ed  a  w in e q u ali t y  a n aly sis  m od el u sin g t h e K N N	
        	a lg o rit h m  t o  p re d ic t t h e q u ali t y  o f w in es b ase d  o n  v a rio u s	
        	f e atu re s.
Im ple m en te d  t h e K N N a lg o rit h m  f o r c la ssif ic atio n ,  l e ve ra g in g t h e	    	
s c ik it - le arn  l i b ra ry  i n  P yth on .
E xtr a c te d  m ean in gfu l i n sig h ts  f r o m  t h e m od el&rsquo;s  p re d ic tio n s,	
        	p ro vid in g a  d eep er u n ders ta n din g o f t h e f a c to rs  i n flu en cin g w in e	                  	
        	q u ali t y .	
L A N GUAG ES	Engli s h
H in di
U rd u