Summary
Overview
Work History
Education
Skills
Timeline
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Srini Radhakrishnan

Product Data Analytics Professional
Portland,OR

Summary

Experienced analytics professional with a focus on using data to gain insights into user behavior within digital products. Employ a combination of deep technical skills with excellent communication abilities to help drive organizations towards reaching their mission and business goals. Passionate about using skills and experience to help promote social good.

Overview

13
13
years of professional experience

Work History

Lead Product Analyst

Strava
01.2024 - Current
  • Provided analytics support to Trust & Safety cross-functional team to help inform product and operational strategies
  • Developed Trust & Safety North Star KPI metric framework to both measure the harm incurred by users on the platform and friction experienced by users
  • Developed and owned ETL framework for Trust and Safety reporting and analysis layers
  • Led initiative to identify ways AI tooling could aid common workstream to help improve team efficiency and speed to insights

Senior Product Analyst

Strava
06.2021 - 12.2023
  • Worked closely with leadership of the Community Management team to better understand the relationship between community support operations and business driver
  • Developed and owned ETL framework for Trust and Safety reporting and analysis layers
  • Built predictive models for subscription renewal, retention, and brand awareness to identify the primary causal drivers of conversion.
  • Led development of a unified global framework for user segmentation

Senior Analyst

InsideTrack
Portland, Oregon
03.2018 - 05.2021
  • 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.

Engagement Science Manager

Nike, Global Consumer Knowledge Center
Beaverton, Oregon
03.2017 - 03.2018
  • 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.

Analytics Manager

Care2.Com Inc.
Redwood City, California
06.2014 - 08.2016
  • 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.
  • Worked with engineering team to create analytics and reporting layer tables to support reporting and ad hoc analyses needs.

Customer Behavior Analyst

Kohl’s Department Stores Inc
08.2012 - 06.2014
  • Built propensity models using both sales and demographic data to help inform segmentation for targeted direct marketing and email campaigns by identifying customers most likely to purchase within product categories.
  • Used variable clustering methodology at product level to help personalize marketing messages and inform content design.
  • Developed marketing-mix model to analyze effectiveness of each digital and traditional channel.
  • Analyzed purchase conversion results at unique user (cookie) level to compare ROI between retargeting campaigns executed by two agencies.
  • Created reporting tools which summarized customer behavior at category and brand level to help inform marketing strategy.

Education

M.P.P. - Formal Modeling & Quantitative Methods

University of Chicago
Chicago, IL

Bachelor of Science - Economics With Mathematical Emphasis

University Of Minnesota - Twin Cities
Minneapolis, MN

Skills

Languages: SQL, R, Python, SAS

BI Tools: Tableau, Amplitude, Metabase, Periscope, MicroStrategy

Data Warehouses: Snowflake, Redshift, BigQuery

Additional Data Stack Tools: dbt, Docker, Github

Statistical Skills: A/B Testing, Supervised and Unsupervised Classification, Time Series Forecasting, Causal Inference methods

Timeline

Lead Product Analyst

Strava
01.2024 - Current

Senior Product Analyst

Strava
06.2021 - 12.2023

Senior Analyst

InsideTrack
03.2018 - 05.2021

Engagement Science Manager

Nike, Global Consumer Knowledge Center
03.2017 - 03.2018

Analytics Manager

Care2.Com Inc.
06.2014 - 08.2016

Customer Behavior Analyst

Kohl’s Department Stores Inc
08.2012 - 06.2014

M.P.P. - Formal Modeling & Quantitative Methods

University of Chicago

Bachelor of Science - Economics With Mathematical Emphasis

University Of Minnesota - Twin Cities

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