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learnoholic
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learnoholic
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Achievement: QuickdrawAchievement: Pull SharkAchievement: Arctic Code Vault Contributor

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Achievement: QuickdrawAchievement: Pull SharkAchievement: Arctic Code Vault Contributor

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@buzycoderscamp

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amogh2004/README.md

Amogh Ranganathaiah

Data-Driven Problem Solver | Bridging Business and Technology

👋 Hi there!

As a seasoned Data Engineer with expertise in Data Science, Data Engineering, Cloud Technologies, and Generative AI, I leverage 3 years of hands-on experience to drive data-driven insights. I am passionate about integrating technical and business acumen to explore the Data+AI space, optimizing processes and solving complex problems. Currently, I lead data analytics initiatives in a part-time capacity.

Skills

  • Data Analysis & Visualization - PowerBI, Python(numpy, pandas, matplotlib), R, SQL, MySQL, Oracle, Data Mining, Data Modelling
  • Statistical Analysis - Multivariate Analysis, Pattern Recognition, Advanced Statistical Methods (Hypothesis Test, ANOVA, Time Series)
  • Machine Learning - scikit-learn, Regression, Classification, Clustering (k-medoids, k-medoids), Neural Networks, NLP, Random Forest
  • Cloud & Data Engineering - ETL/ELT Pipelines, Azure Data Lake Storage ADLS Gen2, Azure Data Factory ADF, Azure Synapse Analytics, Azure Databricks, Role Based Data Access Control(RBAC, ACL), Data Governance, Data Cataloging, Alation, Apache Kafka
  • Gen AI - LLM Architecture, Retrieval Augmented Generation RAG, Context Augmented Generation CAG, GPT, BERT, LangChain
  • Other Relevant - Git, GitHub, Kubernetes, Docker, PyTorch, Tensorflow, Microsoft Word, MS Excel, Microsoft PowerPoint, Requirements Gathering, Strategic Thinking, Stakeholder Communication, Business Communication

🎓 Education & Certifications

  • MS in Business Analytics (STEM) – San Francisco State University (2023-2025)
  • BE in Computer Science and Engineering – Visvesvaraya Technological University (2017-2021)
  • Certifications: Microsoft Technology Associate, Google Certified Data Engineer

Pinned Loading

  1. SBA-Loan-Default-Classification SBA-Loan-Default-Classification Public

    The overarching purpose is to maximize profitability for banks while minimizing the risks associated with defaults.

    Jupyter Notebook 1

  2. DS862-Assignments DS862-Assignments Public

    This folder contains end-to-end data science projects. Techniques include ML algorithms, deep learning, PCA/MCA, and statistical analysis for insights and decision-making.

    Python

  3. California_House_Price_Analysis California_House_Price_Analysis Public

    Jupyter Notebook

  4. CarPurchaseAmount CarPurchaseAmount Public

    Performing Multivariate Analysis

  5. Data-Mining-Basics Data-Mining-Basics Public

    Data Mining Startoff Projects

    Jupyter Notebook

  6. Learn-PowerBI Learn-PowerBI Public

    To gain hands-on experience in data visualization, reporting, and dashboard design, enhancing proficiency in Power BI for data-driven insights.