// render_monitor
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statusACTIVE
NS
Nandika (NAZ) Soni
AI Engineer  /  Data Engineer  /  MBA Candidate
📍 Munich, Germany
📞 +49 155 11310609
✉ nandikasoni9@gmail.com
🔗 linkedin.com/in/nandika-soni-771610220
// input_layer :: skills & capabilities
Python
JavaScript
Ruby (learning)
SQL
C / MATLAB
HTML
Web Crawling
Data Extraction
Pipeline Dev
REST API Integration
Import Mapping
ML / Machine Learning
OOP Architecture
Scraping Frameworks
Data Validation
Workflow Automation
Scaling
Analytical Thinking
Proactive & Independent
English C2 — Fluent
// hidden_layer_01 :: project_experience
node_proj_01 · weight=0.98
Relevant Project Experience
Robot Navigation System — Crawling Pipeline & OOP Architecture w=0.97
2024
  • Designed an object-oriented data pipeline in Python that crawls a graph-based environment, extracts node/edge data, and dynamically re-routes data flow via Dijkstra's algorithm — directly mirroring a job data crawling pipeline architecture.
  • Built modular, reusable OOP components (pathfinder class, blockage generator, visualiser) mapping to scalable, maintainable data crawling and import mapping frameworks used in production environments.
  • Automated obstacle detection, re-routing, and failure reporting with zero manual intervention — robust error handling and backtracking ensuring high-quality data acquisition under unpredictable conditions.
Braking Behaviour Analysis — Data Extraction Pipeline & ML Integration w=0.94
2024
  • Built end-to-end Python data extraction pipeline with integrated ML classification layer — mirroring Experteer's crawling pipeline with ML-based data classification and import mapping refinement.
  • Applied web-scraping-style extraction patterns on unstructured video data; iterated on trigger parameters to improve data flow stability, reliability, and classification accuracy.
Financial Data Analysis — Puma SE | External Data Integration & Import Mapping w=0.89
MBA Coursework · 2025–26
EU Business School, Munich
  • Integrated and mapped external financial data from Puma SE Annual Report 2024 — demonstrating external data source integration, import mapping, and data accuracy validation.
  • Built Excel pipelines (Pivot Tables, VLOOKUP) to classify and transform raw financial data; communicated findings clearly to non-technical stakeholders.
// hidden_layer_02 :: work_experience
node_exp_01 · weight=0.85
Work Experience
Working Student — Data & Marketing Operations
2024
DC Model Sr. Secondary School · Panchkula, India
  • Developed Python automation scripts for data collection workflows, improving acquisition quality across 500+ records and reducing manual processing effort by 30%.
  • Implemented data classification and import mapping logic across campaign datasets, improving accuracy; collaborated with cross-functional teams to enhance internal data infrastructure.
  • Operated proactively with minimal supervision; automation improvements boosted conversion rates by 15%.
// output_layer :: education & languages
node_edu · weight=0.92
Education
MBA — International Business
EU Business School, Munich
Business Informatics & Media Informatics focus
Oct 2025 – Dec 2026
B.Tech — Artificial Intelligence
Mahindra University, Hyderabad
Computer Science & Business Informatics · CGPA: 7.1
Nov 2021 – Aug 2025
node_lang · weight=0.88
Languages
English
C2
Hindi
Native
German
A2