first name last name looking fulltime opportunities data scientist starting january 2024 open relocation emailxyzedu phone number personal websitegithubio summary data scientist 5 years experience machine learning statistical modeling experiment design 2 years experience analyzing business problems venture commercialization space experienced researcher comfortable working crossfunctionally ambiguous fastpaced environment expert distilling communicating complex ideas proven publications blogposts education phd electrical computer engineering data science xyz university ms electrical computer engineering xyz university bs electrical computer engineering xyz university skills september 2018 december 2023 september 2016june 2018 september 2012 june 2016 programming python pandas matplotlib scikitlearn keras scipy tensorflow r sql git htmlcss visualization tableau microsoft excel google sheets machine learning classification regression topic modeling natural language processing nlp neural networks work experience business analyst intern abc department xyz university june 2022august 2022 collaborated researchers business stakeholders customers develop product business roadmaps childhood asthma management app included regulatory reimbursement strategies identified new feature requirements customer segments growth opportunities app digital health monitoring market analyzing data 20 interviews diary studies market reports using excel delivered shortterm midterm longterm metrics enable competitive growth synthesizing unstructured competitor customer discovery data derive 2 cashflow models informing strategic options research scientist xyz university september 2020present analyzed structured unstructured data 2000 respondents designing evaluating 5 quantitative qualitative experiments using regression models machine learning topic models python r defined 5 metrics entrepreneurs university industry stakeholders use look funding investment partnership opportunities across different cities conducting user study tableau dashboard partnered 5 researchers 3 disciplines institutions synthesize research findings resulting 3 publications machine learning firmware engineering intern big tech company june 2019september 2019 decreased inference latency 34x developing python firmware efficient sparse bert computations platform engineering hardware team uses hardware acceleration machine learning applications worked across engineering teams recommend 3 technical changes architecture testing technical feasibility firmware production environment