Srini Radhakrishnan Email & Phone Number

Portland, OR, US

Portland, Oregon, United States

Portland, Oregon Area

• Led initiative to implement north star product analytics framework for all digital products in organization to tie KPIs to business goals and better measure success.
• Worked closely with engineering team to implement custom event tracking required to meet needs related to both reporting and ad hoc analyses informing product roadmap.
• Used machine learning techniques to analyze transcribed phone conversations and written exchanges between students and coaches to gain insight into issues students face along their academic journeys.
• Built analytics and reporting layer tables for consumer facing mobile app.
• Mentored and managed data and product analysts.

Portland, Oregon Area

• Worked with product teams to develop KPIs related to content engagement for consumer facing mobile apps serving 100M+ users.
• Determined KPI benchmarks, assessed availability of data, delivered data ingestion and reporting requirements for content related KPIs.
• Quantified impact of number of marketing emails received in week on email engagement and purchase conversion at consumer-level to help inform email marketing strategies.
• Managed supporting ad hoc work done by third-party contractors and vendors.

San Francisco Bay Area

• Created user lifetime value model based on user behavior and associated revenue to compare various personalization and segmentation strategies.
• Increased signature conversion rates 21% by developing algorithm to optimize content shown to site visitors based on user path flows and available content.
• Conducted A/B testing to evaluate effectiveness of various email and marketing campaigns in terms of conversion, retention, and lifetime value.
• Employed K-nearest neighbors methodology to identify similar petitions based on text used in petition title and description to help optimize site content.
• Managed associate data analyst and interns.

Menomonee Falls, WI

• Created predictive models for targeted direct marketing campaigns to identify prospective customers
• Used variable clustering at the product level to help personalize marketing messages
• Created predictive models for targeted email campaigns to identify prospective customers.
• Pioneered digital media retargeting incremental testing, reading results at a unique user (cookie) level
• Worked on a team responsible for building a marketing-mix model with a $1B+ marketing budget

Constructed forecasting model for Budget Hero, a dynamic online game centered on the federal budgetAnalyzed data to attain insight from user choices based on their individual characteristicsOften presented projects and analysis to both internal and external groups with limited statistical knowledge

Assisted research published in several peer-reviewed academic journalsUsed multidimensional scaling procedures to produce voting estimates from North and South Carolina legislators' roll call votesCreated an multi-variable asset pricing model using time-series data

Collected and analyzed survey data used to produce the Employment Cost Index, an inflationary measure of wage and benefit dataPrepared and wrote internal reports evaluating survey processes and procedures and presented them to the Assistant Regional Commissioner

Master Of Public Policy, Mpp; Econometrics, Microeconomic Theory, And Game Theory

Bachelor Of Science (Bs) Honors, Economics