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Shivanshu-DataNerd/README.md

Hello there! 👋 I'm Shivanshu

Data Engineer | Problem Solver | Aspiring Researcher | Speech & Audio AI

I'm a Data Engineer & Aspiring Researcher with a strong focus on cloud-scale data systems, analytics, and applied AI research, specializing in:

  • 🏗️ Building scalable data platforms on Microsoft Azure
  • 🔄 Designing end-to-end data engineering pipelines
  • 🧠 Exploring AI-driven and research-oriented systems
  • 🎙️ Working on speech and audio intelligence (ASR)
  • ⚙️ Automating analytics workflows using cloud-native services

💡 Passionate about clean data, system design, and research-driven engineering.

🛠️ Tech Stack

👨‍💻 Languages & Querying

  • Python
  • SQL
  • KQL
  • HTML / CSS

☁️ Cloud & Data Platforms

  • Microsoft Azure
  • Microsoft Fabric
  • Azure Synapse Analytics
  • Azure Databricks
  • Azure SQL
  • SQL Server
  • Azure Data Lake Storage

🔄 Data Engineering & Integration

  • Apache Spark
  • Azure Data Factory
  • Azure Logic Apps
  • Azure Function Apps

📊 Analytics & Visualization

  • Power BI
  • Tableau

🧠 AI & Research Tooling

  • Azure AI Services
  • Jupyter Notebook

🛠 DevOps & Observability

  • Azure DevOps
  • VS Code
  • Azure Monitor
  • Azure Key Vault

🎓 Certifications

  • DP-900 – Microsoft Azure Data Fundamentals
  • AI-900 – Microsoft Azure AI Fundamentals
  • AZ-900 – Microsoft Azure Fundamentals

📂 Selected Work & Projects

My GitHub contains hands-on projects focused on data engineering, analytics, and research-oriented AI systems:

👉 https://github.com/Shivanshu-DataNerd

Highlighted work includes:

  • A causal attribution engine
  • Audio feature extraction & speech analytics
  • Cloud-native data pipelines and automation workflows
  • Research-driven experiments in AI and analytics

🤝 Connect With Me

“Research begins when engineering decisions are driven by curiosity, not convenience.”

Popular repositories Loading

  1. audio-feature-extraction audio-feature-extraction Public

    A research-oriented audio feature extraction pipeline for Speech / Audio AI, covering waveform analysis, FFT, spectrograms, Mel spectrograms, and MFCCs, with a strong emphasis on signal processing …

    Jupyter Notebook

  2. nexus nexus Public

    Nexus is a causal attribution engine that goes beyond anomaly detection to explain why incidents occur, by inferring causal relationships across metrics, events, and system changes and generating s…

    Jupyter Notebook

  3. Shivanshu-DataNerd Shivanshu-DataNerd Public

  4. speech-recognition-asr speech-recognition-asr Public

    Research-oriented end-to-end speech recognition (ASR) pipeline with a focus on speech data analysis, feature extraction, and reproducible experimentation.

    Jupyter Notebook

  5. speech-ssl speech-ssl Public

    This repository implements a research-oriented self-supervised speech representation learning framework inspired by modern architectures such as wav2vec 2.0. This project learns directly from raw a…

    Python