Аналитик данных( Р-Финанс )

Описание

Asta n a I T U niv e rs it y A sta n a,K Z
B.S in B ig D ata A naly s is E xp ecte d g ra d uatio n, 2 024
C once n tr a tio ns : C om pute r V is io n, A lg o rit h m s, A naly tic s
G PA : 3 .4 /4 .0
R ela te d C ours e s :C alc u lu s 1 , C alc u lu s 2 , L in ea r A lg eb ra , D is c re te M ath , a ls o A lg o rit h m s a n d D ata S tr u ctu re s,M ach in e
Lea rn in g ,D esig n a n d A naly s is o f A lg o rit h m s,D ata b ase M an ag em en t S ys te m s, P ow er B I
Q ZLab , I n te rn S ig n L an g uag e I d en tif ic a tio nT eam L ead I d eve lo ped a s ig n la n g uag e id en tif ic a tio n s ys te m u sin g T en so rF lo w a n d O pen C V.
I im ple m en te d t h is s ys te m t o f u n ctio n w it h t h e w eb c a m era o n a la p to p.
Sto ck P re d ic tio nsP ro g ra m min g : P yth o n, C ++, N oS Q L, S Q L, P ow er b i, J ava , M ach in e L ea rn in g , D eep L ea rn in g , H TM L, C SS,
JavaScript
T ools : P yC harm ,W eb S to rm , M ong o D B, M ic ro so ft P ow er B I, P ostg re S Q L, V is u al S tu d io
T eam M em ber
T ra in ed m ath em atic a l m odels p re d ic t A pple s to ck p ric e s u sin g lin ea r r e g re ssio n,
cla ssif ic a tio n a n d C N N
ED U CA TIO N Kaza kh sta n , 2 11570@ asta n ait .e d u.k z, 8 77 52595591, G it H ub :k a ib ee, lin ke d in :M an su r R akh ym bay
M AN SU R R A KH YM BA Y
PRO JE C TSEX P ER IE N CE I w as r e sp on sib le f o r m an agin g a n d o p tim iz in g O doo d ata b ase s. I f o cu se d o n e n su rin g e ffic ie n t d ata s to ra ge a n d
re tr ieval, a n d I c u sto m iz e d t h e d ata b ase s t o m eet t h e s p ecif ic n eed s o f t h e o rg a n iz a tio n
A s ig n if ic a n t p art o f m y in te rn sh ip in vo lv e d p erfo rm in g C re ate , R ead , U pdate , a n d D ele te ( C RU D ) o p era tio n s.
W eb g am es s it e S K IL LS B ack E nd
I d eve lo ped s e ve ra l g am es u sin g JavaScript, in clu d in g c la ssic s lik e S nake a n d R ock-
P ap er-S cis so rs .
Fo rb es 2 000T eam m em ber
I h ave a n aly z e d c o m pan ie s f ro m t h e f o rb es 2 000 lis t o ve r t h e p ast 5 y e a rs u sin g M ic ro so ft P ow er
B I. I c le a n ed u p t h e d ata , u se d D AX f u n ctio ns, a d ded n ew m ea su re s, n ew v is u aliz a tio ns, a n d
p erf o rm ed f o re ca stin g