---
title: "Sindhu Tirth Sahoo - Senior Advisor, Data Science in Bengaluru | Tal"
description: "Meet Sindhu Tirth Sahoo, Senior Data Science Advisor @ Dell based in Bengaluru. AI stack includes claude code, cursor, and gemini."
image: "https://tal.club/meet/sindhu-tirth-sahoo/share-image"
---

# Sindhu Tirth Sahoo on Tal

## Headline

Senior Data Science Advisor @ Dell

## About

As a Senior Advisor, Data Science at Dell Technologies, I focus on market mix modelling while leveraging my expertise in tools like Airflow, Looker, and Pandas\. With extensive experience in developing scalable data science and machine learning solutions, my work supports strategic decision\-making and optimization initiatives\. With over seven years in data science, I have a proven record in building predictive models, implementing ETL pipelines, and enhancing model performance through data and feature importance tracking\. I am dedicated to delivering impactful insights and innovative solutions to drive organizational success\.

## Location

Bengaluru

## AI stack

claude code

cursor

gemini

## Work experience

Senior Advisor, Data Science at Dell Technologies, Nov 2025 \- Present · 11 mos, Bengaluru, \- Working on inhousing of Market Mix Modelling leveraging Bayesian Models \- Research and feedback on the capabilities of Adstock rate and Saturation parameter estimation\. As part of this devised a method to estimate adstock and saturation parameters through a secondary model, leveraging the mathematical concepts of simultaneous L\-BFGS\-B optimization within bounds scored by a linear model with Bayesian penalty to facilitate injection of business logic in the estimation process\. \- Experimented on appropriate prior setup considering the absence of lift tests data\. \- Leveraged my experience in Time Series Forecasting for automated data\-informed identification and selection of Fourier harmonics to accurately capture seasonal effects without compromising marketing contribution\. \- Standardized modelling workflow in R to reduce hypothesis \-&gt; model setup \-&gt; output report time, with added capabilities for model and outputs diagnostics\.

Data Scientist II at Amazon, Apr 2025 \- Nov 2025 · 8 mos, Bengaluru, \- Worked on short term forecasting capabilities leveraging my previous experience in building ensemble forecasting models, updating data pipelines for newer category groups\.

Senior Data Scientist at News Corp, Jan 2023 \- Apr 2025 · 2 yrs 4 mos, Bengaluru, \- Built and productionalized ML models trained on engagement activity from first week of subscription to predict customer conversion probabilities and then leveraging uplift modelling to target ideal customers with save campaigns for The Times\. Utilized BigQuery, Cloud Composer to facilitate seamless integration of data pipelines to modelling workflows\. I also added model scoring along with model data drift and data drift tracking functionalities as well as feature importance tracking to ensure that a healthy model was always used to make predictions\. \- Built automated, scalable and comprehensive forecasting capabilities for finance stakeholders enabling accurate budget planning and reporting\. This was done through customized model ensembles to deal the scale as well as multiple eventualities in the data, the ensemble was designed to be capable in handling data issues like data sparsity, cold start issues as well as patterns with complex seasonalities and multiple historical trend changepoints\. \- Productionized and standardized the subscription pack lifetime value calculation pipeline reducing manual interventions\. \- Built cases for dynamic paywall models\.

Data Science Analyst \- Strategy and Consulting \(Accenture AI\) at Accenture, Jun 2021 \- Dec 2022 · 1 yr 7 mos, Bengaluru, Karnataka, India, As part of growth analytics leveraged data science techniques for finding growth opportunities for global clients in new markets\. • Created Deep Learning based outlet classifier algorithm using outlet names and images as input\. • Leveraged Apache Airflow to create ETL pipelines based on DAG\. • Developed robust matching algorithm for outlets from different data sources\. • Statistical analysis of areas and outlets based on socio\-demographic, implementing libraries like NumPy, Pandas, Scikit\-Learn, Pycaret, etc\. • Leveraged GCP cloud services like AutoML and BigQuery for building scalable ML systems\. • Catchment analysis using geo\-analysis tools like QGIS, GeoPandas for determining Area and Outlet Potential\. • Clustering similar markets for growth opportunities using clustering algorithms like K\-means, DBSCAN, etc\.

Data Scientist at BEPEC Solutions, Feb 2018 \- Jun 2021 · 3 yrs 5 mos, India, • Designed prototypes starting with problem identification to model deployment using AWS/Flask\. • Experience in developing statistical/Machine Learning/Deep Learning models using various techniques and technologies using R, Python, Spark, H2O, etc\. • Experience in NLP/Text Mining, Natural Language Understanding, Voice Processing, Semantic Analysis, etc\. • Provided EDA to uncover meaningful patterns out of data using R/Python\. • Developed customized models for various business problems to increase financial gains and increasing the efficiency\. • Experience with different division of data like semi\-structured, structured and unstructured like images, audio, video, etc\. • Ensuring that analyses are delivered on time with more focus on client and business satisfaction\. • Proactively seeking for the opportunities to increase the value of analysis\. • Transformed business value out of data using analytics\.

## Education

Post Graduate Certification in Software Engineering for Data Science, Data Science, International Institute of Information Technology Hyderabad \(IIITH\)

Bachelor of Technology \- BTech, Mechanical Engineering, Institute of Techncal Education &amp; Research

[View the original profile](https://tal.club/meet/sindhu-tirth-sahoo)

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