Rajesh Rajendran Email & Phone Number
Who is Rajesh Rajendran? Overview
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Rajesh Rajendran is listed as Staff Data Scientist at Avathon, a with 300 employees, based in Bengaluru, Karnataka, India. AeroLeads shows a matched LinkedIn profile for Rajesh Rajendran.
Rajesh Rajendran previously worked as Data Scientist Sr at Alstom and Data Scientist at Alstom. Rajesh Rajendran holds Master'S Degree, Automation And Robotics from Universität Dortmund.
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About Rajesh Rajendran
With over a decade of expertise in data science and software design, I have honed my skills in causality, data analytics, and anomaly detection at Alstom. My mission is to derive meaningful insights from complex data systems, which directly aligns with Alstom's commitment to innovation in urban transit solutions. I bring a diverse perspective through my experience in creating robust analytical tools and am adept at leveraging advanced techniques like Bayesian networks to improve operational efficiency.Most recently, my work has centered on developing a Root Cause analysis solution and an anomaly detection algorithm, both designed to enhance service reliability for urban transit systems. By exploiting a Causal Bayesian Network model, I have provided interventional insights that are critical for identifying and addressing service disruptions. My application of TensorFlow, Keras, and PyTorch has enabled the creation of cutting-edge analytical applications, ensuring Alstom remains at the forefront of the industry.
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Rajesh Rajendran work experience
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Data Scientist Sr
Project: Service-Affecting Failure Root Cause AnalysisA solution to identify the root-cause of service affecting failures in Urban Transit Systems for effective troubleshooting.• As Data Scientist – Performed Causal Discovery on data-logs to obtain a relationship graph, revealing the underlying causal structure between events and failures. – Developed a Causal model and applied Interventional and Counterfactual techniques to identify root causes of failure.• As Data Engineer – Created and deployed end-end Data pipeline for Data Ingestion, Data Processing (Cleaning, Transformation), and Data Visualization. – Created and deployed a web-based pedagogical tool to share results with stakeholders.
Data Scientist
Project: Log AnalyticsAn Analytical solution for detecting undesirable system behaviour from datalogs.• As Data Scientist – Worked with system experts to define the Health Indicators to detect the undesirable behaviours. Design rules to detect erroneous patterns in the logs – Developed PowerBI dashboards application to help troubleshooters identify unhealthy patterns appearing in data-logs and efficiently navigate through them. Thus reducing the troubleshooting time by 80%• As Data Engineer – Developed analytics modules for computing complex health indicators using Big-Data technology – Automated the end-to-end data pipeline (Data Injection, Data Processing (Cleaning, Transformation)) with Apache AirflowProject: Incident DetectionA Data-driven troubleshooting solution to detect unhealthy trains from a fleet that needs maintenance.• Developed a statistical model to detect faulty trains from the event datalogs generated by train.• Packaged solution as executable and deployed in Alstom’s Fleet management system.Project: Anomaly detection in Odometry systemA solution to detect anomalies in the train’s odometry system to ensure efficient and effective maintenance.• Developed algorithm using Autoencoder architecture that detected anomalies with high Recall (over 99%)Project: Ebicab Developed two unsupervised anomaly detection methods based on Autoencoder and textual transformer that detects the variable deviation, explaining the presence of a train software failure in time-series data coming from train's ATC subsystem. Conducted a comparative analysis of both methods and documented the findings in a technical report. The solution is able to identify failures not detected by rule based approach.
Software Architect
Project: RailSketch (Aug 2017 - Jan 2020)- Developed RailSketch, a graphical application that allows users to create animated videos for demonstrating signaling principles.- Enabled users to create track layouts by adding tracks, signals, switches, and other field objects, and to animate train movements and signal state changes.- Implemented collaborative functionality, allowing geographically separated users to work simultaneously on the same track plan for effective signaling demonstrations.- Facilitated early detection of design issues by system engineers during the signaling system design phase.Project: M8-PIU (Dec 2018 - Sep 2019)- Developed the Portable Interface Unit (PIU), a diagnostic application for the ATC module of a train car.- Enabled users to download and view datalogs, event faults, and snapshots for enhanced diagnostics.- Facilitated interaction with various sub-modules such as DBAU and TestBoard for comprehensive system diagnostics.- Implemented two connection modes: Direct mode for serial connections to the subsystem, and Remote mode for connecting via Ethernet using TCP/IP protocol through the Central Diagnostics System (CDS).
Software Designer
Project: GraphSim (Jan 2017 - Dec 2018)- Developed GraphSim, a simulator for iVPI-based interlocking systems, replicating key functionalities such as logic evaluation, sensor input processing, output relay activation, and parameter exchange between vital and non-vital subsystems.- Enhanced the existing simulator with redundancy simulation capabilities, including failover mechanisms, hot standby, and synchronized variable states for improved reliability.Project: FOS (Sep 2015 - Jan 2017)- Developed a TCP-based communication protocol for seamless data exchange between simulation software and signaling hardware systems.- Created a simulator to model and simulate way-side signaling devices, enhancing system testing and validation.- Designed and implemented Automated Factory Acceptance Testing (FAT) processes for interlocking systems, improving efficiency and reducing manual intervention.- Developed interfaces to enable communication between hardware systems operating on different protocols, ensuring robust integration with automatic testing software and hardware subsystems.- Implemented a WCF service interface to facilitate data access within SCADA's OPC UA server.
Product Engineer
Development of next generation cancer diagnostics using smart polymer technology- Analyze the market trends for developing next generation cancer diagnosticsusing smart polymer technology- Analyze the needs of consumer to improve the product
Research Assistant
Development of state estimation algorithms for estimating the underactuated degrees of freedom in humanoid robots- Development of dynamic models of humanoid robot "Toro"- Design of non linear Kalman filtering algorithms for state estimation- Implementation of algorithms in Matlab/Simulink
Engineering Intern
Project: Automation of System under test- Programmed solar inverter test specifications using dSPACE AutomationDesk software.- Designed and implemented test cases for solar power inverters.- Established communication between various test equipment using multiple communication protocols, including GPIB, Ethernet, and RS-232.- Commissioned and networked various equipment utilizing different communication protocols.- Designed and implemented CRC code generation algorithms in MATLAB/Simulink for testing microcontrollers in a Hardware-in-the-Loop (HIL) system.- Developed a Human-Machine Interface (HMI) module for solar inverters.- Evaluated results and prepared comprehensive documentation
Colleagues at Avathon
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Mohammed Nomaan
Colleague at AvathonBengaluru, Karnataka, India
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DS
Devansh Sharma
Colleague at AvathonChandigarh, India
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Neha Kiran
Colleague at AvathonBengaluru, Karnataka, India
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KM
Kavana Mohan
Colleague at AvathonBengaluru, Karnataka, India
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Milton Lopez
Colleague at AvathonAustin, Texas, United States
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KL
Kelsey Long Carapetyan
Colleague at AvathonAustin, Texas, United States
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Aerik Singla
Colleague at AvathonChandigarh, India
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GK
Gourav Kumar
Colleague at AvathonBengaluru, Karnataka, India
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SR
Sritharini Radhakrishnan
Colleague at AvathonCoimbatore, Tamil Nadu, India
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Armine Olivas
Colleague at AvathonAustin, Texas, United States
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Rajesh Rajendran education
Master'S Degree, Automation And Robotics
Bachelor'S Degree, Electronics And Instrumentation
Frequently asked questions about Rajesh Rajendran
Quick answers generated from the profile data available on this page.
What company does Rajesh Rajendran work for?
Rajesh Rajendran works for Avathon.
What is Rajesh Rajendran's role at Avathon?
Rajesh Rajendran is listed as Staff Data Scientist at Avathon.
Where is Rajesh Rajendran based?
Rajesh Rajendran is based in Bengaluru, Karnataka, India while working with Avathon.
What companies has Rajesh Rajendran worked for?
Rajesh Rajendran has worked for Avathon, Alstom, Alstom Transport, Blue Triangle Innovations, and Dlr.
Who are Rajesh Rajendran's colleagues at Avathon?
Rajesh Rajendran's colleagues at Avathon include Mohammed Nomaan, Devansh Sharma, Neha Kiran, Kavana Mohan, and Milton Lopez.
How can I contact Rajesh Rajendran?
You can use AeroLeads to view verified contact signals for Rajesh Rajendran at Avathon, including work email, phone, and LinkedIn data when available.
What schools did Rajesh Rajendran attend?
Rajesh Rajendran holds Master'S Degree, Automation And Robotics from Universität Dortmund.
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