---
title: "Shashank R - Product Analyst in Bengaluru | Tal"
description: "Meet Shashank R, Product Analyst @Arré | Google Analytics, Google BigQuery, CleverTap, MixPanel based in Bengaluru. AI stack includes anthropic apis, claude, and codex. Explore public work links including github."
image: "https://tal.club/meet/shashank-r/share-image"
---

# Shashank R on Tal

## Headline

Product Analyst @Arré \| Google Analytics, Google BigQuery, CleverTap, MixPanel

## About

As a Data Analyst at Arré, I specialize in handling and processing structured data to support content performance tracking and internal reporting\. Working extensively with Google BigQuery and LookerStudio, I contribute to ensuring data consistency and accuracy across digital content platforms, collaborating with cross\-functional teams to enable data\-driven decisions\. Graduated as a Bachelor in Technology in Artificial Intelligence from REVA University in 2025, I have completed multiple internships in data science and machine learning, focusing on projects like recommendation systems, emotion detection, and sales data regression models\. With skills in Google Analytics, BigQuery, and ETL processes, I aim to advance my career in data analysis and contribute to impactful, technology\-driven solutions\.

## Location

Bengaluru

## AI stack

anthropic apis

claude

codex

lovable

notion

ChatGPT Images

## Work experience

Product Analyst at Arré, Feb 2025 \- Present · 1 yr 7 mos, Mumbai, Maharashtra, India, • Owned end\-to\-end analytics reporting on core product KPIs including MAU, new users, plays, and stream time for a consumer content app • Built and maintained automated reporting tables in Google BigQuery for daily and month\-to\-date \(MTD\) metrics, improving reliability and reducing manual reporting effort • Designed and deployed Looker Studio dashboards for product, content, and leadership stakeholders to monitor performance in near real\-time and drive weekly decision\-making • Performed funnel analysis across onboarding and content consumption flows to identify drop\-offs and quantify conversion opportunities • Conducted churn and retention cohort analysis \(post\-first\-play behavior\) to understand engagement decay and support retention initiatives • Supported experimentation/A\-B testing by defining success metrics, monitoring impact, and sharing post\-analysis insights with cross\-functional teams • Automated creator monetization/payout reporting using SQL \+ Google Sheets workflows, ensuring accurate monthly calculations across multiple monetization scopes • Partnered with engineering to improve data correctness and governance through validation checks and consistent metric definitions

Data Analyst at Arré, Sep 2024 \- Jan 2025 · 5 mos, • Rebuilt daily and MTD metric reporting in Google BigQuery using CTE\-based scheduled jobs, eliminating ˜5 hours/week of manual spreadsheet consolidation across listener and creator KPIs \(MAU, new users, plays, stream time\)\.

Data Scientist at CodeSpaze, Aug 2024 \- Oct 2024 · 3 mos, Delhi, India, In my 3\-month data science internship, I created five projects, working across data cleaning, model building, and deployment\. Collaborating with teams improved my communication skills, and I gained proficiency in Python, SQL, and data science tools\. This experience strengthened my problem\-solving abilities and prepared me for impactful, data\-driven roles\.

Machine Learning Engineer at HubbleMind, Jul 2024 \- Aug 2024 · 2 mos, Bengaluru, Karnataka, India, This internship offered me insights on working over a project on a weekly basis\. During this period, I had a chance of working on the Linear Regression Model for Sales Data\. My tasks had been split into weekly basis which made my task easier and also gave me ample amount of time to try and test various methods for the best model possible and an optimised code\.

Data Scientist at NullClass, Mar 2024 \- May 2024 · 3 mos, Delhi, India, I had been hired as a Data Science Intern at NullClass\. My work there was to create an Emotion Detection system which does the expected job by taking inputs from image, video stream \(live or uploaded\) and via speech too\. Along with that I had to create a Drowsiness Detection System too which does the job by taking inputs from the uploaded images or by the video stream\. I had to create an computer application in which all these functionalities were integrated into one\.

Data Scientist at Navodita Infotech, Feb 2024 \- Mar 2024 · 2 mos, Pune District, Maharashtra, India, My work here was to create recommendation systems for the people which can make their daily life much easier and better\.

## Education

B\.tech, Artificial Intelligence, Reva University

Bachelor of Technology, Artificial Intelligence, Reva University

## Public links

- github: https://github\.com/rshashank\-dev

[View the original profile](https://tal.club/meet/shashank-r)

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