Kenil Patel

is available. ✅

Bis 2025, Automation Initiative (Independent Project), Divy Creations
Koblenz, Germany

Fähigkeiten und Kenntnisse

n8n
Workflow Automation
Process Optimization
JavaScript
Python
Automation
Make (Integromat)
LLM API integration
Agentic AI
Agentic Workflows
Prompt Engineering
REST APIs
MS Office
Microsoft Excel
Airtable
SQL
PostgreSQL
Docker
Git
JSON
YAML
Claude
Lovable
Low-Code Automation
Make
scikit-learn
Machine Learning
Data Analysis
Data processing
Data Transformation
Data Science
Data Preparation
Business Informatics
GitHub
Generative AI
Robotic Process Automation (RPA)

Werdegang

Berufserfahrung von Kenil Patel

  • 3 months, Oct 2025 - Dec 2025

    Automation Initiative (Independent Project)

    Divy Creations

    Built n8n automation workflows for a 24/7 digital textile printing firm handling 50–120 daily B2B orders, reducing daily manual effort by ~2.5 hours. Developed a multi-channel intake pipeline (WhatsApp, email, phone, walk-in) via webhooks and APIs to centralize fragmented order records. Automated production batching and machine allocation using JavaScript-based n8n workflows, cutting manual planning by ~30–45 min/shift.

  • 5 months, Jan 2022 - May 2022

    Intern - Data Digitization and Process Optimization

    Siemens Energy

    Identified and eliminated manual bottlenecks across warehouse and document retrieval workflows, cutting item lookup from 30 min to under 2 min and document retrieval from 20 min to under 2 min. Consolidated inventory data from 5+ sources into a single master datasheet, replacing ad-hoc lookups. Proposed automation solutions for recurring post-deployment processes including auto depreciation and maintenance cost tracking.

Ausbildung von Kenil Patel

  • Current 3 years and 8 months, since Oct 2022

    Mathematical Modeling, Simulation & Optimization

    Universität Koblenz

    Grade: 3.0 | Relevant Modules: Optimization, Machine Learning, AI, Data Science, Network Theory | Expected Graduaation: 04/2027

  • 4 years, Jul 2018 - Jun 2022

    Mechanical Engineering

    Nirma University

    Grade: 2.0

Sprachen

  • English

    C1 (Fließend)

  • German

    A1-A2 (Grundkenntnisse)

  • Gujarati

    C2 (Verhandlungssicher / Muttersprachlich)

  • Hindi

    C2 (Verhandlungssicher / Muttersprachlich)

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