Aravind Manoj

CEO

Bangalore Urban, Karnataka, India8 yrs 3 mos experience

Highly Stable

Key Highlights

7+ years in data science and MLOps.
Led development of impactful ML systems.
Expert in optimizing ad spend for D2C brands.

Stackforce AI infers this person is a Data Science and MLOps expert in the SaaS and Healthcare sectors.

Contact

aravind.manoj@project44.com LinkedIn

Skills

Core Skills

Ml System DesignData ScienceMachine Learning

Other Skills

ETL ToolsRPySparkTime Series AnalysisData AnalysisUnsupervised LearningRecurrent Neural Networks (RNN)Statistical AnalysisMicrosoft ExcelReinforcement LearningData EngineeringGraph modelBayesian inferenceMarketing Mix ModelingSQL

About

Accomplished data science professional with 7+ years of expertise in machine learning, data analytics, and scalable workflow development through MLOps. A results-driven leader, I excel in architecting and deploying impactful, end-to-end ML systems from inception to production, while steering data science teams to achieve both innovation and operational excellence. I am eager to leverage my extensive experience in driving transformation within SaaS and healthcare to pioneer innovative solutions for complex, high-impact challenges.

Experience

8 yrs 3 mos

Total Experience

3 yrs 5 mos

Average Tenure

1 yr 4 mos

Current Experience

Project44

2 roles

Senior Manager, Data Science and MLOps

Apr 2026 – Present · 1 mo

Engineering Manager, Machine Learning

Jan 2025 – Present · 1 yr 4 mos

Building project44's ETA system for Full Truckload

Toplyne

2 roles

Data Science Manager

Aug 2023 – Nov 2024 · 1 yr 3 mos

Currently leading the development of an ML system to optimize Return on Ad spend (RoAS) for large-scale D2C brands using first party data

ML System DesignETL Tools

Founding Data Scientist

Aug 2021 – Jul 2023 · 1 yr 11 mos

Founding member of the data science team, leading initiatives to build Toplyne’s ML infrastructure that combines data from product analytics, CRM, and public datasets to predict customer conversion, expansion, upsell, and churn.

Zs

2 roles

Data Science Associate Consultant

Jul 2019 – May 2021 · 1 yr 10 mos

Contributed to the development of a proprietary R package for automated time series forecasting that won 4th place in the M4 forecasting competition
Developed a patient services recommendation engine that boosted patient adherence by ~8%
Actively engaged in conducting POCs, creating project proposals and aiding firm leadership in Business Development

RPySparkData Science

Data Science Associate

Jul 2017 – Jun 2019 · 1 yr 11 mos

Projects:
Hierarchical Bayesian Model for Marketing Mix Modelling and optimised channel spends leading to a 15% uplift in ROI
Breast cancer metastasis prediction model using xgboost trained on EHR data
Hierarchical Representation Learning on EHR data
Semi supervised learning for unlabelled data to identify undiagnosed Endometriosis patients

Unsupervised LearningRecurrent Neural Networks (RNN)Machine Learning