Lead role initiating and building data and analytics engineering and launching customer facing analytics part of main product - Launched an extensive customer facing data analytics platform using streamlit which was key to our customer success- Managed the team that built data engineering pipelines and dbt models translating raw data into actionable business metrics

Built the foundation for predictive analytics, as the first and only data scientist- Developed a python based modeling platform that enabled rapid creation, evaluation and iteration of user behavior based predictive models- Built and automated scoring models for user tenure, conversion to paid plans, customer expansion and churn, sales opportunity success, etc. - Dramatically enhanced insights into user behavior and outcomes, published insights that were key to redefining yearly company focus and goals- Significantly revised, rebuilt and augmented data modeling pipelines by improving existing dbt models and creating numerous new ones - Raised the level of data quality and availability for the stakeholders in product and go to market teams by building a semantic data layer with validated metrics and consistent customer segments

Lead analytics, data engineering and data science teams on various client projects. - Designed and implemented a natural language cleaning and translation engine for a major electrical utility- Advised a life sciences company on data platform choice for it's >200 data professionals and implemented a POC solution

Taught a world class comprehensive machine learning curriculum, designed lectures and advised students on independent projects- Most recent cohort had an NPS of 85, with 69% of students reporting that the program exceeded their expectations

Leading everything data from infrastructure and analytics to statistics and machine learning - Took over a distressed team and repositioned for success by implementing strategic prioritization with stakeholders and agile Jira based sprint planning, greatly improved collaboration with product and engineering- Expanded team by hiring a data analyst and a data engineer and shifted team’s focus from business analytics to product insights and machine learning - Built a collaborative filtering based car recommendation system producing high quality personalized product suggestions to site visitors, collaborated with engineering to productize

A leading role growing best practices for analytics and data science in a rapidly evolving startup- Built and productized user website behavior scoring models, improved marketing retargeting capabilities and performance- Implemented and maintained a production level Airflow data pipeline management platform, optimized and greatly improved Redshift workflow management practices

Supporting digital marketing teams, leading deep dive analytics research projects and building reporting infrastructure- Proactively built project plans for new reporting and BI initiatives and managed delivery teams for product, merchandising, B2B and ecommerce departments for lululemon athletica- Advised VF Global implementing data management platform across brands and leveraging Adobe Audience Manager- Consulted Autodesk on variety of projects: managed offshore team building comprehensive and user friendly campaign performance tracking solution, lead evaluation of site navigation, consulted on audience segmentation for personalization, channel and campaign attribution, optimized eCommerce purchase path

700+ hour data science immersive training program, focusing on machine learning in Python- Capstone project: online content recommendation app for metafilter.com weblog using natural language processing, non-negative matrix factorization and AWS EC2, S3 and Elastic Beanstalk

Evaluating usage and efficacy of digital learning products. Making analytical insight based business recommendations. Designing and overseeing analytics instrumentation.- Products included: mobile and tablet apps, student social network, automated notifications, adaptive learning tools- Uncovered a $15M/year incremental revenue opportunity related to improved course outcomes from Tutoring Service, earning employee of the quarter recognition

Increased responsibilities from ad hoc analytics to owning and maintaining most of the internal and external cross channel reporting and forecasting for the team with one of the world’s largest digital marketing budgets - Built, automated and significantly improved reporting processes and forecasting models for traffic, conversions and budgets - Designed experiments estimating effects of spend across media channels, presented insights to senior management - Worked closely with Web Implementation, SEM, SEO, Display, A/B Testing and FP&A teams- Extensively used Tableau, Excel, SQL, SAS, SiteCatalyst and Google Analytics

Launched an innovative start-up multi-alternatives mutual fund, contributed key ideas on fund structure- Created analytical models for budgeting, fee calculations, portfolio allocations and acquisitions- Performed screening, due diligence and selection of fund managers, acquisition targets and service providers - Initiated acquisitions, prepared Letters of Intent and negotiated with acquisition target management- Executed successful acquisition, integration and conversion of Bull Path L/S Fund (BPFIX)- Worked with legal council and fund administrator redrafting Prospectus and other legal documents

Team member responsible for Goldman Sachs and Bank of America Investment Banking Analyst training programs- Consulted incoming analysts on advanced financial analysis, valuation and spreadsheet modelling- Troubleshot and graded assignments and exams, independently ran review sessions with an audience of over a 100 people

Contributed to the launch of a new news analysis platform targeted at investment banking professionals - Developed advanced Factiva filters for live news feeds sorting thousands of articles from different sources - Published reporting, analysis and commentary pieces in Dow Jones Newswires and Wall Street Journal

Worked full time in a small regional team directly with two senior country coverage bankers- Developed proficiency in Excel, including DCF, LBO, merger models, transactions and trading comparables - Performed company and industry research and financial statement analysis, built Power Point presentations and pitch books, used Thomspson One Banker, Merger Market and Factiva

Interned full time in the Corporate Finance department of the major investment bank in the Baltic States- Independently developed an industry map for Lithuania, covering main sectors and players- Prepared pitch books that included sector overviews and analysis of acquisition targets

Worked part time in a Spanish management consulting company- Part of a team consulting an Italian optics producer on improving distribution strategies in Spain- Presented IVC to foreign embassies. Managed the contractor responsible for building the company's website

Co-wrote and published the first comprehensive guide-book in Lithuanian on US college admissions (160 pages), bestseller during the first six weeks of publication