Data Analyst( AVO SERVICES AND TECHNOLOGY )

Описание

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Univ e rs it y o f B ris to l, S ep te m ber 2 023 - S ep te m ber 2 024 E D UCATIO NMSc i n F in an cia l T ech n o lo g y w it h D ata S cie n ce
C ore M odule s: S oftw are D eve lo pm en t: P ro gra m min g a n d A lg o rit h m s, L a rg e-S ca le D ata E ng in eerin g , M ach in e
Lea rn in g a n d D ata A naly tic s, F in an cia l T ech n o lo gy ( D eF i T ech n o lo gy, T im e S erie s A naly s is a n d A ctiv e P ortf o lio
M an ag em en t) .
U niv e rs it y o f W estm in ste r, S ep te m ber 2 0 17 - M ay 2 021B Sc i n E co no m ic s w it h F in an ce
G ra d uate d w it h F ir s t-C la ss H ono urs
C ore M odule s: I n ve stm en t a n d R is k M an ag em en t, D eriv a tiv e s M an ag em en t, P ro bab ilit y & S ta tis tic s,
E co no m etr ic s, F in an cia l A cco un tin g , M an ag em en t A cco un tin g , F in an cia l M an ag em en t.
F in an cia l A naly s t, E th ere al G ro up , D ece m ber 2 0 22 - S ep te m ber 2 0 23 Led t h e o ptim iz a tio n o f f in an cia l d ata f lo w p ro ce sse s f o r f o ur c o m pan ie s u n d er E th ere a l G ro up L LC ,
im pro vin g d ata a ccu ra cy a n d r e p o rtin g t im elin ess.
A naly z e d f in an cia l d ata , p ro duce d , a n d p re se n te d r e p o rts t o m an ag em en t, a id in g s tr a te g ic d ecis io n-
m akin g a n d o pera tio nal im pro ve m en ts .
R eco ncile d f in an cia l d ata a cro ss m ult ip le e n tit ie s t o e n su re a ccu ra cy a n d r e lia b ilit y in f in an cia l r e p o rtin g
an d a n aly s e s.
S tr a te g y a n d O pera tio ns C onsu lt a n t, K P M G, M ay 2 022 - D ece m ber 2 022 Energ y S ecto r P ro je ct: C ontr ib ute d t o a s tr a te g y a n d p ro ce ss o ptim iz a tio n p ro je ct f o r a s ta te -o w ned
e n erg y c o m pan y in U zb ekis ta n . R esp o nsib ilit ie s in clu d ed o rg an iz in g in te rv ie w s w it h c lie n t m an ag em en t,
m ap pin g r is k m an ag em en t p ro ce sse s, a n d c o -d eve lo pin g a p la n t o o ptim iz e t h ese p ro ce sse s, a im in g t o
s tr e a m lin e o pera tio ns a n d e n han ce r is k m an ag em en t p ra ctic e s.
B an kin g S ecto r P ro je ct: C ontr ib ute d t o a n o pera tio nal e ffic ie n cy o ptim iz a tio n p ro je ct a t o ne o f t h e t o p 5
b an ks in U zb ekis ta n . T his in vo lv e d c o nd uctin g in -d ep th in te rv ie w s, c o lle ctin g d ata , a n aly z in g d ata , a n d
d eve lo pin g o ptim iz a tio n p la n s t h at le d t o s ig nif ic a n t im pro ve m en ts in o pera tio nal e ffic ie n cy.
M an ag ed c o m pre h en siv e a cco un tin g t a sks in clu d in g p ayro ll, b illin g , b o okke ep in g , a n d a cco un t
re co ncilia tio ns.
M en to re d a n d s u p erv is e d a ju n io r a cco un ta n t, f o ste rin g t e a m s kills d eve lo pm en t a n d e n han cin g
d ep artm en ta l p ro ductiv it y .
A D ata S cie n tis t a n d F in an ce P ro fe ssio nal w it h a M aste r's d eg re e in F in an cia l T ech n o lo gy a n d D ata S cie n ce ,
a n d e xte n siv e e xp erie n ce in F in an cia l A naly s is , S tr a te g y, a n d O pera tio ns C onsu lt in g .
A cco un ta n t, B D N T ru ck in g , S ep te m ber 2 020 - M ay 2 022 P R O FE SSIO NAL E X PE R IE N CE
Pro fic ie n cy in P yth o n f o r d ata m an ip ula tio n, d ata a n aly s is , t im e s e rie s a n aly s is a n d m ach in e le a rn in g .
Lib ra rie s: P an d as, M atp lo tlib , S cik it -le a rn , P yT orc h , S ta tm odels a n d N um py.
S Q L f o r d ata b ase q uery in g a n d d ata a n aly s is .
E xp erie n ce d in u sin g T ab le a u f o r c re a tin g in sig htf u l d ata v is u aliz a tio ns a n d d ash b o ard s.
A W S C lo ud f o un d atio ns.
P ro fic ie n t in t h e M ic ro so ft O ffic e S uit e ( E xc e l, P ow er B I) .
E ffe ctiv e c o m mun ic a to r, w it h a h is to ry o f p re se n tin g f in an cia l r e p o rts t o m an ag em en t, f a cilit a tin g
in fo rm ed d ecis io n-m akin g .
La n g uag es: E ng lis h : F ull p ro fe ssio nal p ro fic ie n cy, R ussia n : F lu en t, U zb ek: N ativ e .
S K IL LS