---
title: "Gopinath Rajendiran - Data Scientist (Optimization) in Bengaluru | Tal"
description: "Meet Gopinath Rajendiran, Senior Data Science Professional | Digital Solutions | Product Development | PhD (AI) | IIMV | IEEE Senior Member based in Bengaluru. AI stack includes claude code, langgraph, and ollama."
image: "https://tal.club/meet/gopinath-rajendiran/share-image"
---

# Gopinath Rajendiran on Tal

## Headline

Senior Data Science Professional \| Digital Solutions \| Product Development \| PhD \(AI\) \| IIMV \| IEEE Senior Member

## About

Delivering AI/ML Solutions for Industrial IoT: With over 10\+ years of experience in condition monitoring, predictive maintenance, and energy management of industrial loads \(including electrical machines, motors, generators, HVAC systems, AHUs, electrical loads, and utilities\), I have built a strong foundation in applying advanced analytics to real\-world industrial challenges\. I am a data science professional with a PhD in Condition Monitoring and Predictive Maintenance of Electrical Machines using AI, with strong experience in applying machine learning and IoT technologies to industrial systems\. I focus on leveraging real\-time sensor data to develop anomaly detection models and condition monitoring algorithms that drive proactive maintenance, reduce downtime, and improve system efficiency\. I lead a data science team, coordinating with data engineers and junior data scientists, while also managing cross\-functional projects involving frontend, backend, and UI/UX teams\. I work closely with global experts in data science and product innovation to bring intelligent, data\-driven products to market\. In recent roles, I have deployed edge\-based machine learning algorithms for monitoring electrical equipment, built deep learning models for energy demand forecasting, and implemented AI\-powered systems for anomaly detection in smart energy infrastructure\. I’ve also contributed to the development and validation of edge\-enabled non\-intrusive load monitoring solutions through field trials and operational testing\. My PhD work centered on building scalable fault diagnosis systems using machine learning, where I applied transfer learning to generalize from prototype systems to complex environments with limited fault data\. I have filed two patents and published over 15 papers in international journals and conferences\. Honors & Awards: I received the Early Career Award \(2022\) from the Prognostics and Health Management \(PHM\) Society, USA, in recognition of my contributions to predictive maintenance and machine learning in industrial applications\. I was also selected as a Visiting Scholar \(2018\) for the prestigious Research Explorer Ruhr program in Germany, funded by the Excellence Initiative, which brought together outstanding early\-career researchers from across the globe\. Interests: My professional interests include condition monitoring, vibration analysis, predictive maintenance, energy management, signal processing, AI/machine learning, and data analytics, with a strong focus on applications in the manufacturing, energy, automotive, and related industrial sectors\.

## Location

Bengaluru

## AI stack

claude code

langgraph

ollama

openai

claudecode

githubcopilot

## Work experience

Data Scientist \(Optimization\) at SMA Solar India, Mar 2026 \- Present · 7 mos, Bengaluru, Karnataka, India

Assistant Manager \- Data Scientist \(Digitalization\) at Qlar Group \(formerly Schenck Process\), Jul 2025 \- Mar 2026 · 9 mos, Bengaluru, Karnataka, India, • Lead digital transformation initiatives by integrating IoT data, diagnostics, and KPI development into operations to enable predictive maintenance and advanced analytics that improve reliability and efficiency\. • Developed vibration signal\-based gearbox and bearing fault\-detection algorithms to reduce failures and prevent unplanned maintenance in process\-industry machines\. • Developed AI\-based hyperspectral imaging systems for material detection in industrial processes\. • Designed and implemented an end\-to\-end on\-premise industrial data pipeline for real\-time ingestion from PLC systems via OPC UA, with edge messaging using MQTT, Apache Kafka–based streaming, and local server storage and analytics\. • Designed, built, and deployed a self\-hosted RAG\-based technical support system using enterprise knowledge sources\. • Worked with global data science teams and product managers \(Germany & UK\) to design and deliver scalable digital solutions across the process industry\.

Data Scientist at ebm\-papst, Mar 2023 \- Jul 2025 · 2 yrs 5 mos, Chennai, Tamil Nadu, India, • Worked on energy analytics and predictive maintenance for EC fan motors, developed AI\-based algorithms for anomaly detection and vibration monitoring applications\. • Leveraged IoT sensor data, statistical analysis, and unsupervised learning algorithms for real\-time EC fan monitoring, enabling anomaly detection, proactive maintenance, and energy optimization\. • Developed and deployed a vibration score–based algorithm for condition monitoring, improving reliability and extending equipment lifespan\. • Led cross\-functional teams and partnered with global data science & product innovation experts \(Germany & US\) to drive digitalization and scalable product development\. • Successfully led a multifaceted projects by effectively coordinating with data engineers & data scientists\. • Managed collaboration across various cross\-functional teams to ensure seamless integration and delivery of project objectives\.

Data Scientist at Atsuya Technologies, Oct 2021 \- Mar 2023 · 1 yr 6 mos, Chennai, Tamil Nadu, India, • Developed and deployed edge\-based algorithms for condition monitoring of electrical motors using current and vibration data, optimizing industrial operations\. • Built a deep learning model for accurate energy demand forecasting in commercial buildings, leading to improved energy management strategies\. • Created an analytical model for event detection in deep freezers, enhancing operational efficiency in retail stores\. • Implemented an AI\-powered anomaly detection system for smart energy meters, enabling improved energy management and reduced power losses\. • Led a cross\-functional project team, ensuring seamless collaboration between hardware, firmware, and UI/UX engineers\.

Senior Project Associate at CSIR\-Central Scientific Instruments Organisation, Oct 2020 \- Sep 2021 · 1 yr, Chennai, Tamil Nadu, India, • Improved the performance of non\-intrusive load monitoring \(NILM\) systems for smart and sustainable cities\. • Deployed optimized ML/deep learning algorithms on hardware for real\-time load energy monitoring\. • Validated EdgeAI\-based NILM performance through real\-world field trials and case study analysis\. • Led a cross\-functional team by leveraging strong communication and project management skills\.

Freelance Consultant at CSIR\-Central Scientific Instruments Organisation, Apr 2020 \- Oct 2020 · 7 mos, Chennai, Tamil Nadu, India, • Contributed to the enhancement of edge AI\-based energy management by applying a non\-intrusive load monitoring \(NILM\) approach, enabling device\-level energy insights without the need for individual appliance sub\-metering\. • Authored comprehensive documentation and research articles, leading to successful publication of findings in reputed international journals and conferences\.

Research Associate at CSIR\-Central Scientific Instruments Organisation, Nov 2018 \- Mar 2020 · 1 yr 5 mos, Chennai, Tamil Nadu, India, • Developed and deployed a non\-intrusive load monitoring \(NILM\) system, incorporating machine learning algorithms for real\-time monitoring, efficient event detection, and detailed energy consumption analysis, leading to improved energy optimization techniques\. • Implemented machine learning algorithms on edge devices, ensuring operational effectiveness and reliability in real\-time\. • Led cross\-functional projects, coordinating with embedded systems engineers and user experience specialists to achieve successful integration and deployment of solutions\.

## Education

Executive Post Graduate Certificate Program, General Management, Indian Institute of Management Visakhapatnam

Doctor of Philosophy \(PhD\), Condition monitoring of electrical machines using data driven \(AI\) approach, Amrita Vishwa Vidyapeetham

[View the original profile](https://tal.club/meet/gopinath-rajendiran)

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