Aditya Aghi

About Aditya Aghi

11 years of Data Science and Analytics experience partnering closely with engineering, product, UX, marketing, merchandizing and category management organizations across businesses with major exposure in e-commerce and digital products to drive product growth using data science and analytics. Key focus on improving consumer experience journey, optimizing product funnels, launching new user flows and experiences for increasing CVR, customer engagement, retention and driving incremental revenue using big data, analytics, statistics and AB experimentationSkillset:> Analytical Techniques: Statistical Tests (incl. Chi-Square, ANOVA), OLS Regression, LDA, Heuristic Modeling (Monte Carlo), Predictive Modeling (incl. Decision Tree, Logistic Regression), Clustering, Text Mining, Recommender Systems, A/B Tests> Statistical Analysis tools: R, SAS, Python, Rapid Miner> Big Data Tools: Hadoop, Hive, Pig, Spark, Mahout, AWS> Database and Reporting: SQL(SQL server, MySQL, Oracle), Tableau, QlikView, Microsoft SSIS, Microsoft Excel> Digital Analytics Tools - Adobe Analytics, Google Analytics

Experience

1. Staff Engineer 1 - Analytics

   Samsung Electronics America

   Mar 2024 — Present

   Leading a team of 7 to drive product analytics for e-comm across digital products including Web(Samsung.com) & Samsung Shop App, partnering closely with engineering and product teams> Responsible for strategic roadmapping for delivery of Analytics products and solutions that democratize data & Insights> Empower product managers and leadership teams to make data driven informed decisions > Role specifically involves developing engagement models and develop analytics platform to optimize product funnels & Customer Experience Journey (CEJ)> Design and run experiements, develop revenue attribution models, growth projections & drive product growth with value driven insights, supporting key launches and improving/growing core product metrics including engagement, retention, acquisition,rev & cvr%

Education

• Stanford Continuing Studies

  Big Data Product Management - Internet of Things

  2018 — 2018

• UMN Carlson School of Management

  Master of Science (M.S.), Business Analytics (Data Science)

  2016 — 2017

• Indian Institute of Technology, Roorkee

  Master of Business Administration (M.B.A.)

  2011 — 2013

• CCET, Panjab University, Chandigarh

  Bachelor of Engineering (B.E.), Electronics and Electrical Communication

  2007 — 2011