Data Analyst Portfolio

Tasfmig ast dated e XX t Ayt PRTF areXavado ata AaystTabe oConens 1 2 3 4 5 FeatredProjects TechicaSkis AbotMe ataVisaizatioShowcase ietTestimoias stme Behavi Aaysis Pjet Saes ad Revee ashad Pjet Peditive Maiteae Aaysis Pjet Maketig amaig Aaysis Pjet stme Reteti timizati PjetJunor Data Anayst Maket Reseah im 1 yeas Aayzed data, sted etig, deiveed isights ata aaysis ad iteetati extatig meaigf isights fm mex datasets ata visaizati desigig ea, iteative dashads Peditive mdeig ayig statistis ad mahie eaig t feast teds Pess timizati atmatig wkfws ad idig effiiet data ieies Daa nays Tehgy may yeas Bit dashads, atmated wkfws, imved feastig 2XX t 2XX B.S. mte Siee it ivesity JarenXavador WhoAm Edcatio ProfessioaExperiece oreompetecies am a data anayst wth strong anaytca and probemsovng sks specaze n data processng vsuazaton and predctve modeng enjoy exporng data patterns generatng nsghts and presentng resuts that support strategc decsonmakng Proessona Phosophy beeve that accurate cean data s the foundaton of every good decson My goa s to dever actonabe nsghts that are understandabereabe and reevant whe contnuousy earnng new toos and methods 2XX t 2XX M.S. ata Aaytis it ivesityprev next ata Visuaization andReporting teative B dashbads Pfiiet tepise dashbad ts Skied Stati hats amiia Data storyteng and teamwork: Sked Reatona database management: Profcent ETL workfows: Sked Coaboraon and Communcaon TechnicaSkis DaaEracon andCeanng Time seies feastig amiia Regessi, assifiati, steig Skied Statistia testig Skied ataAnaysis andModeing Database query jons: Profcent Data ceanng automaton: SkedustomerBehavior AnaysisProject ProbemStatemet Projectverview haegesadSotios Keytcomes Ahieved 8% editi aay. detified thee high-vae stme segmets eesetig 4% fevee. eiveed iteative dashads ffive teams. Reded maaetig time y hs e mth. Remmedatis ieased amaig egagemet y 1%. sistet data fmats ass ses wee stadadized sig atmated sits. maaed taget asses wee addessed with vesamig tehiqes. mmiated isights t -tehia stakehdes sig iteative dashads. Aayzed histia stme data t idetify teds, efeees, ad egagemet attes. Bit editive mdes t feast hasig ehavi ad segmet stmes effetivey. Pedit stme hasig ehavit imve maketig amaigs ad eteti.SaesandRevenue ashboardProject ProbemStatemet Pvide a sidated, iteative view f saes ad evee key efmae idiats fea-time deisimakig. Projectverview eveed a iteative dashad sidatig mtie datasets f mehesive etig. aed stakehdes t exe key efmae idiats ad teds dyamiay with di-dw ftiaity. haegesadSotios Keytcomes Reded mthy et eaati time y 4%. mved stakehde esse t teds y % sights ed t 1% iease i saes effiiey. Dashboard tracked more than 10 key performance indicators in rea time. dentified two majorrevenue anomaies per month. 4% 25% 12% Metric definitions were standardized to ensure consistency. Large datasets were optmzed usng effcent queres and aggregatons Visuaizations were designed to be intuitive for stakehoder adoption.Nosy sensor data were smoothed and outers removed Seasona usage patterns were ncorporated as tmebased features Vsuazed predcted mantenance schedues to mprove stakehoder understandng PredictiveMaintenance AnaysisProject ProbemStatement Methodoogy haegesadSotios Keytcomes 2% 3% 88% 25% 1 Pvided dashads takig 1 eqimet its. Pative ese aati eded emegey iidets y %. eastig mde aay eahed 88%. mved maiteae shedig effiiey y %. Reded aed dwtime y %. Appied steig t idetify isk gps f eqipmet. sed time-seies feastig mdes t pedit maiteae eqiemets. eveped atmated eptig with aets f high-isk eqipmet. Pedit eqipmet maiteae eeds t ede paed dwtime ad ptimize peatis.Marketingampaign AnaysisProject ProbemStatemet Methodoogy haegesad Sotios Keytcomes dted ht ad segmetati aaysis t destad se behavi. Mtie data ses with isistet metis wee hamized sig a stadad famewk. w egagemet i etai segmets was idetified ad addessed. ashads ad ets wee desiged t mmiate isights eay t exetives. Appied statistia testig t mease ampaig impat. eveped visa dashbads t smmaize key isights. vaate maketig amaig efmae ad vide atiae isights f timizati. 01 01 02 03 02 03 eased amaig R y 1%. Pded dashads takig me tha KPs. Remmedatis ed t 1% ift i vesi ates. mved egagemetate y 1%. detified thee deefmig haes f dgeteaati.Reig evee $, 25, h eded by 12% i mths stme egagemet +18% Retaied 1,5 high-vae stmes 18% 1,500 ustomerRetention ptimizationProject ProbemSaemen Bsiessmpact dentfy patterns of customer churn and mpement strateges to mprove retenton and fetme vaue 12% Projectverview Keysights Aayzed histia stme ativity ad tasati data t detetisk fats f h. Aied editive mdeig t se stmes y h ikeihd ad desiged itevetis t etai high-vae iets. igh h isk etated i seifi stme segmets Seasa hasig ehavi ad egagemetfeqey ifeed eteti Tageted amaigs d evet tetia h f % f at-isk stmesataVisuaizationShowcase These visaizatis demstate my aiity t tasfm mex datasets it atiae isights that dive siess deisis. By miig statistia aaysis, editive mdeig, ad ea visa styteig, t aw data it meaigf ifmati. Bsiss fma Mth 2 4 5 a b Ma Ap May vsi ift 5.38 % Ativity ift 27.69 % Sas ift 8.46 % ai t 38.46 % 2 3 4 5 a b Ma Ap May 2 3 4 5 a b Ma Ap May