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KA SH IF U SM AN
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ka sh if u sm an 9 83 @ gm ail. c o m
La h o re , P A K
Lin ke d in G it h ub T ab le au
D A TA A NA LY ST Apr 2 0 23 - J u n 2 0 23D ec 2 0 21 - J a n 2 0 23 U IU X D esig ner a t C od is ta n V en tu re sA ssis ta n t A dm in is tr a tio n a t D uls c o L LC D eve lo p ed d ash b oard s t h at c o nve ye d b usin ess in sig hts , w ir e fr a m es, p ro to ty p es, a n d v is u al
d esig ns f o r b oth w eb a n d m ob ile in te rfa ce s.
I w as a ls o r e sp onsib le f o r c o nd uctin g u se r r e se arc h a n d a n aly sis t o u n d ers ta n d u se r a n d
b usin ess n eed s a n d b eh avio rs .
M an ag ed a n d v a lid ate d D ub ai A ir p ort's c lie n t r e q ue sts d ata , e n su rin g a ccu ra cy a n d r e lia b ilit y
fo r b usin ess o p era tio ns.
A llo ca te d s ta ff a cro ss v a rio us d ep artm en ts b ase d o n c lie n t n eed s, o p tim iz in g r e so urc e
d is tr ib utio n a n d o p era tio nal e ffic ie n cy.
J u n 2 0 23 - O ct 2 0 24 U IU X D esig n A naly st C re ate d h ig h f id elit y m ocku p s a n d d ash b oard s, a lig nin g f in d in g s w it h b ra n d o b je ctiv e s &
im pro vin g U I f u n ctio nalit y .
P R O FE S SIO NA L E X PER IE N C E Dec 2 0 16 - D ec 2 0 20 B ac h elo r o f C om pute r S cie n ceA rid U niv e rs it y R aw alp in d iE D U C ATIO NSK IL LS P yth o n
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A dva n ce d E xc e l
P ow er B I
A nly tic a l T hin kin g
F ig m a
Clie n t M an ag em en t
A te ch p ro fe ssio nal tr a n sit io nin g in to d ata a n aly tic s. I a m p ro fic ie n t in P yth o n, S Q L, a n d T ab le au ,
w it h U I/ U X e xp erie n ce e n h an cin g m y a b ilit y to c re ate im pactfu l d ash b oard s, a n aly ze d ata , a n d
p re se n t in sig hts . E xc it e d t o s o lv e p ro b le m s a n d h elp t e am s m ake s m arte r d ecis io ns.
S U M MARYG it h ub D ash b oard W orld E co n om ic I n d ic ato rsP yth o n - T ab le au - V is u al S tu d io C od e
A naly ze d W orld E co no m ic In d ic a to rs ( 1 9 60 –2 0 18 ) t o id en tif y t r e n d s, d is p arit ie s, a n d c o rre la tio ns in
G DP, e le ctr ic it y u se , a n d in te rn et p en etr a tio n a cro ss r e g io ns a n d in co m e g ro up s.
Id en tif ie d e co no m ic d is p arit ie s ( G DP < $1,0 00 in lo w -in co m e g ro up s), a d ig it a l d iv id e ( lo w in te rn et
in S ub -S ah ara n A fr ic a ), G DP d om in an ce ( U SA , C hin a, J a p an ), a n d r e g io nal e n erg y v a ria tio ns.
P R O JE C TSG it h ub D ash b oard O ly m pic A th le te sS Q L - T ab le au
A naly ze d t h e O ly m pic G am es ( 1 8 9 6-2 0 16 ) t o u n co ve r t r e n d s in a th le te p artic ip atio n, g en d er
ra tio s, m ed al d is tr ib utio n & a g e d yn am ic s.
R eve ale d a r is e in a th le te s ( 1 7 6 in 1 8 9 6 t o 1 0 ,9 0 3 in 2 0 16 ), in cre ase d f e m ale p artic ip atio n ( 4 0% b y
20 16 ), U .S . m ed al d om in an ce ( 4 ,3 90 ), a n d a g e p atte rn s a cro ss s p orts lik e G ym nastic s a n d R oq ue .
S ta tis tic a l A naly sis
H yp oth esis T estin g
R eg re ssio n A naly sis
A /B T estin g
P ro b ab ilit y D is tr ib utio ns
S ta tis tic a l M od elin g
S Q L ( M yS Q L, P ostg re S Q L, S Q L
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S eab orn
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Pan d as
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