Praveen Raaj Rajamurugesan

AI Researcher

Aachen, North Rhine-Westphalia, Germany9 mos experience

Key Highlights

Expert in transforming data into actionable insights.
Proven track record in product development and engineering.
Strong background in data science and machine learning.

Stackforce AI infers this person is a Data Scientist with expertise in Automotive and Manufacturing sectors.

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Skills

Core Skills

Product DevelopmentAutomotive EngineeringData AnalysisBusiness IntelligenceEngineering AnalysisAdditive ManufacturingProcess EngineeringOperations ManagementIot Solutions

Other Skills

Project ManagementProduct R&DNVHDigital Signal ProcessingCross-functional CoordinationAutomotiveCATIASQLExtract, Transform, Load (ETL)Data VisualizationCollaborative Problem SolvingETLComputer-Aided Engineering (CAE)Design of Experiments (DOE)Ansys Products

About

I'm driven by one question: how can we turn raw data into decisions that actually matter? With a background in Management and Engineering at RWTH Aachen and hands-on experience from IIITDM, I work across business intelligence, data science, and AI. I’ve built dashboards that guide strategy, trained models that forecast behavior, and designed systems that learn from real-world inputs. Whether it's optimizing workflows, uncovering patterns, or automating processes, I enjoy solving problems that sit between code, numbers, and people. What I bring: Data science tools: Python, scikit-learn, Pandas, TensorFlow, SQL BI expertise: Power BI, Tableau, KPI design, data storytelling Engineering logic: system modeling, simulation, structured problem-solving Right now, I'm focused on sharpening my skills in machine learning and real-time analytics—looking to apply them in roles where data meets impact.

Experience

9 mos

Total Experience

9 mos

Average Tenure

Current Experience

Mahindra and mahindra limited [automotive and farm equipment business]

PGET Product Development

Aug 2022 – Jun 2023 · 10 mos · Chennai, Tamil Nadu, India · On-site

Worked in the Engineering Analysis and Vehicle Development department across EV and IC platforms. Led NVH performance analysis using signal data and simulation tools. Acted as a cross-functional liaison between design, testing, and manufacturing, ensuring successful handoff from prototype to production.
Key contributions:
Improved NVH benchmarks by optimizing material and design configurations
Analyzed vibration and acoustic data using digital signal processing techniques
Facilitated design validation workflows using simulation and road-test feedback
Streamlined project coordination between cross-functional teams, reducing lead time

Project ManagementProduct R&DNVHDigital Signal ProcessingCross-functional CoordinationAutomotive+3

Kameleon technologies

Data Analyst Intern

Jan 2022 – Jul 2022 · 6 mos · Chennai, Tamil Nadu, India · On-site

-Built the analytics stack from scratch: spun up a PostgreSQL warehouse and automated daily ETL pipelines in Python (pandas + SQLAlchemy) to ingest JSON event records from events

SQLExtract, Transform, Load (ETL)Data AnalysisData VisualizationCollaborative Problem SolvingBusiness Intelligence

Defence research and development laboratory (drdl) - drdo

Engineering and Research Intern

Aug 2021 – Jun 2022 · 10 mos · Bengaluru, Karnataka, India · On-site

Modelled and simulated residual stress in Selective Laser Melting (SLM) for Ti6Al4V parts using ANSYS. Used Design of Experiments (Taguchi method) and ANOVA to analyze and optimize process parameters. Insights used to guide real-world additive manufacturing in gas turbine manufacturing.

Computer-Aided Engineering (CAE)Additive ManufacturingDesign of Experiments (DOE)Ansys ProductsOptimizationStatistical Data Analysis+1

Indian institute of information technology design & manufacturing kancheepuram

Product Development Student Consultant

May 2020 – Apr 2021 · 11 mos · Chennai, Tamil Nadu, India · On-site

Redesigned and automated the banana fibre extraction process, transforming a low-output manual workflow into a high-throughput semi-automated system, that increased extraction efficiency by 25x. Focused on identifying bottlenecks, engineering mechanical upgrades, and aligning the design for scalable production.

Product DesignProduct ManagementProduct R&DRoot Cause AnalysisProcess OptimizationProduct Development+1

Faurecia

Engineering Intern

May 2019 – Jun 2019 · 1 mo · Sriperumbudur, Tamil Nadu, India · On-site

Worked as an Engineering Trainee in Operations, performed cycle-time analysis and collected real-time shop floor data to identify optimization opportunities using Excel and basic statistical methods.

Cycle Time ReductionQuality ControlMicrosoft ExcelStatisticsOperations Management

Madeit innovation foundation

Start-up Sandbox Entrepreneurship Bootcamp

Dec 2018 – Dec 2018 · 0 mo · Chennai, Tamil Nadu, India

Participated in EDII's Entrepreneurial Bootcamp, developing a smart IoT-based water quality system for household RO purifiers. In the MaDeIT Startup Sandbox Program, conducted market analysis, designed a product, developed a proof of concept, and crafted a business plan for market entry.

Internet of Things (IoT)Business StrategyMarket ResearchProduct InnovationProduct DevelopmentIoT Solutions