---
title: "Rutuja Wagh - Data Analyst in India | Tal"
description: "Meet Rutuja Wagh, Data Analyst at Quant Matrix AI | MMM | MSc Statistics and Data science | SVKM’s Narsee Monjee Institute of Management Studies(SOMASA) - NMIMS, Mumbai based in India."
image: "https://tal.club/meet/rutuja/share-image"
---

# Rutuja Wagh on Tal

## Headline

Data Analyst at Quant Matrix AI \| MMM \| MSc Statistics and Data science \| SVKM’s Narsee Monjee Institute of Management Studies\(SOMASA\) \- NMIMS, Mumbai

## About

Aspiring Data Scientist looking to enhance my knowledge and skills in field of data science and analytics\.

## Location

India

## Work experience

Data Analyst at Quant Matrix AI, Aug 2025 \- Present · 11 mos, Mumbai, Maharashtra, India, \-Leading end\-to\-end MMM, forecasting, optimization, and media effectiveness projects across Alcobev, FMCG, and retail clients\. \-Refreshed Alcobev forecasting framework using Kalman state space models to retain historical learnings while incorporating latest market data\. \-Built ensemble MMM frameworks and media budget optimization models to improve ROI and investment efficiency\. \-Developed causal inference frameworks to measure incremental media impact and support channel expansion decisions\. \-Partnering with leadership and stakeholders to translate complex analytics into strategic business recommendations while mentoring junior analysts/interns\.

Junior Data Analyst at Quant Matrix AI, Aug 2024 \- Jul 2025 · 1 yr, Mumbai, Maharashtra, India, \-Worked directly with the CEO on high\-impact MMM and forecasting projects for Alcobev clients\. \-Developed constrained Ridge Regression models to maintain business logic across media, price, and sales drivers\. Applied adstock and logistic saturation transformations to measure media carryover, diminishing returns, and ROI impact\. \-Built Alcobev volume forecasting models across 5 segments using ARIMA, AR, MA, Prophet, and regression\-based techniques with 50\+ econometric variables\. \-Delivered insights on volume growth, 3\-year CAGR, and long\-term business planning\.

Data Science Intern at DataCrush Analytics, Feb 2024 \- May 2024 · 4 mos, Nashik, Maharashtra, India, • Developed a CNN\-based Voice Emotion Recognition \(VER\) model with 75% accuracy\. • Used Python's Librosa library to extract features like MFCC, ZCR, and RMSE from 13,000 diverse audio files, followed by optimization\. • Ensured robust emotion recognition across various demographic groups through iterative training\.

## Education

MSc, Statistics and Data Science, SVKM's Narsee Monjee Institute of Management Studies \(NMIMS\)

Bsc, Statistics, Savitribai Phule Pune University

[View the original profile](https://tal.club/meet/rutuja)

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