---
title: "Shishir Shetty - Senior Data Scientist in Greater Bengaluru Area | Tal"
description: "Meet Shishir Shetty, Senior Data Scientist | ML Systems · Customer Experience Analytics · ML Explainability | AWS ML Specialty Certified based in Greater Bengaluru Area. AI stack includes claude, openai, and claudecode."
image: "https://tal.club/meet/shishir-shetty/share-image"
---

# Shishir Shetty on Tal

## Headline

Senior Data Scientist \| ML Systems · Customer Experience Analytics · ML Explainability \| AWS ML Specialty Certified

## About

Senior Data Scientist building production ML systems\. Multi\-stage pipelines, explainability at scale — from SageMaker to stakeholder dashboards\. NIT Goa · AWS ML Specialty Certified\.

## Location

Greater Bengaluru Area

## AI stack

claude

openai

claudecode

## Work experience

Senior Data Scientist at NeenOpal Inc\., May 2024 \- Present · 2 yrs 4 mos, Bengaluru, Karnataka, India, • Designed and deployed a multi\-stage ML system \(KPI → Operational Driver → Journey Touchpoint → NPS\) across 10,000\+ customer accounts, powering portfolio\-level decision intelligence for retention and growth\. • Built a multi\-level SHAP explainability framework at each pipeline stage and developed the Expected NPS Lift \(ENL\) methodology — together enabling end\-to\-end attribution of what drives customer satisfaction and giving leadership quantifiable levers for CX improvement\. • Adapted and deployed a propensity modeling framework — churn classification, revenue prediction, and Upsell/Retain/Downsell segmentation — integrating outputs into the broader CX decision system\. • Productionized ML pipelines on AWS \(Glue, Step Functions, SageMaker, Redshift, S3\) with Power BI dashboards for stakeholder reporting\.

Data Scientist at NeenOpal Inc\., Aug 2022 \- Apr 2024 · 1 yr 9 mos, Remote, • Built a monthly forecasting model for a retail client to predict product inventory and revenue over a 6\-month horizon, enabling proactive supply planning and reducing stockout risk\. • Developed a Marketing Mix Model \(MMM\) using Robyn to measure channel\-level ROI impact on sales and revenue, leveraging Robyn's built\-in budget optimization to recommend optimal spend allocation across channels\. • Created a persona prediction model using NLP\-based text classification, segmenting a software company's workforce by mapping job titles to behavioral personas for targeted product positioning\. • Built executive dashboards in Power BI tracking balance sheet and cash flow metrics for a SaaS client, enabling proactive financial decision\-making\.

Data Science Intern at NeenOpal Inc\., Mar 2022 \- Jul 2022 · 5 mos, Remote, • Optimized an association rule\-based recommendation engine using the Apriori algorithm for a retail client\. • Built an automated email pipeline \(Python \+ SendGrid\) to deliver personalized top\-5 product recommendations bi\-weekly\.

Intern at EVRY India, Mar 2020 \- May 2020 · 3 mos, Bengaluru, Karnataka, India, • Built a collaborative filtering recommendation system using ALS matrix factorization in Jupyter Notebook, comparing user\-user and item\-item approaches to evaluate recommendation quality on a Kaggle dataset\.

Intern at Acceletrade, Jul 2018 \- Aug 2018 · 2 mos, Bengaluru, Karnataka, India, • Developed Python scripts for automated structured data generation and XML file creation, with YAML\-based configuration management and basic database queries for data retrieval\.

## Education

Master of Technology \- MTech, Computer Science, National Institute of Technology, Goa

PG Diploma, Data Science, International Institute of Information Technology Bangalore

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

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