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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

India

2+ years of work experience

Quant Matrix AI
Aug 202511 mosPresent

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.
Quant Matrix AI
Aug 20241 yrJul 2025

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.
DataCrush Analytics
Feb 20244 mosMay 2024

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

SVKM's Narsee Monjee Institute of Management Studies (NMIMS)

MSc, Statistics and Data Science

SVKM's Narsee Monjee Institute of Management Studies (NMIMS)

20222 yrs2024
Savitribai Phule Pune University

Bsc, Statistics

Savitribai Phule Pune University

20193 yrs2022

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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

Rutuja Wagh - Data Analyst in India | Tal