Shishir Shetty profile photo 1 on Tal

Shishir Shetty

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

Greater Bengaluru Area

4+ years of work experience

NeenOpal Inc.
May 20242 yrs 4 mosPresent

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.
NeenOpal Inc.
Aug 20221 yr 9 mosApr 2024

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.
NeenOpal Inc.
Mar 20225 mosJul 2022

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.
EVRY India
Mar 20203 mosMay 2020

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.
Acceletrade
Jul 20182 mosAug 2018

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.

Shishir’s AI Stack

claude
claude
openai
openai
claudecode
claudecode

Education

National Institute of Technology, Goa

Master of Technology - MTech, Computer Science

National Institute of Technology, Goa

20202 yrs2022
International Institute of Information Technology Bangalore

PG Diploma, Data Science

International Institute of Information Technology Bangalore

20201 yr2021

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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