Arnav Namjoshi

AI Researcher

Jaipur, Rajasthan, India0 mo experience

Key Highlights

Expert in substation automation and communication protocols.
Proven track record in machine learning and data analysis.
Strong documentation and project management skills.

Stackforce AI infers this person is a Data Science and Energy Automation expert with strong analytical and project management capabilities.

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Skills

Core Skills

Substation AutomationSystems EngineeringData AnalysisMachine Learning

Other Skills

AlgorithmsAnalytical SkillsBusiness AnalyticsC (Programming Language)CommunicationCommunication Protocols (GOOSE, MMS, PRP)Computer ScienceCreative StrategyCreative WritingData ScienceData StructuresDocumentationFeature EngineeringGraphic DesignLeadership

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Siemens

Substation Automation Engineer

May 2025 – Jul 2025 · 2 mos · Gurugram, Haryana, India · Hybrid

Implemented high-availability communication protocols (GOOSE, MMS, PRP) for mission-critical infrastructure systems in electric substations.
Built an IEC-61850 based automation demo, demonstrating complex system modeling and real-time data flow skills for large-scale automation projects.
Documented technical workflows and data-driven protection system design processes, enabling optimizations in system protection and engineering best practices.
Impact:
Improved reliability and efficiency of substation automation solutions through robust protocol implementation.
Facilitated effective knowledge transfer and project scalability by producing comprehensive technical documentation.
Enabled large-scale system modeling and data-driven decision-making for protection design optimization

Communication Protocols (GOOSE, MMS, PRP)DocumentationProject ManagementSubstation AutomationSystems Engineering

Db corp ltd.

Data Analyst

May 2024 – Jul 2024 · 2 mos · Noida, Uttar Pradesh, India · On-site

Developed a user churn prediction model with 85% accuracy on a 2M+ user dataset using ensemble machine learning techniques.
Automated feature engineering pipelines and optimized ML algorithms including logistic regression, decision trees, and random forest.
Generated actionable business insights by analyzing user growth trends with Meta Prophet and time series forecasting.

Feature EngineeringLogistic RegressionTime Series AnalysisBusiness AnalyticsMachine LearningData Analysis