Skip to content
View InsightsByIvy's full-sized avatar

Highlights

  • Pro

Block or report InsightsByIvy

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
InsightsByIvy/README.md

πŸ‘‹ Hi, I’m Ivy | @InsightsByIvy

πŸ‘©β€πŸ’» About Me:

Background in digital assets and payments (ex-Kraken) with hands-on experience in crypto and fiat funding, staking, and high-risk transaction analysis. Currently focused on building data-driven solutions using Python, SQL, and machine learning to analyse complex datasets, detect fraud, and uncover actionable insights. Actively exploring projects in blockchain analytics, DeFi trends, and financial risk modeling.

Dashboard profiles:

Current Focus:

  • Advancing skills in Python, SQL, and Tableau for analytics and visualisation
  • Building interactive dashboards to uncover insights across finance, operations, and emerging tech (Web3)
  • Applying data science to real-world use cases like fraud detection, risk analysis, and behavioural trends

πŸ›  Tech Stack:

  • Languages: Python, SQL
  • Data Science & Analytics: Pandas, NumPy, Jupyter Notebook, Data Visualisation (Streamlit, Matplotlib, Seaborn, Plotly), Machine Learning (scikit-learn), MySQL
  • Blockchain Development: Smart Contract Analysis, On-Chain Data Analysis, DeFi Protocols

Collaboration

Open to collaborating on blockchain data projects, crypto analytics tools, and Web3 dashboards. Let's build something innovative together!

Connect With Me

Pinned Loading

  1. Analysing-Scam-Patterns-in-Ethereum-Transactions Analysing-Scam-Patterns-in-Ethereum-Transactions Public

    Jupyter Notebook 1

  2. FinTech-User-Analytics FinTech-User-Analytics Public

    Comprehensive fintech user analytics: Insights, segmentation, profiling, and predictive risk modelling.

    Jupyter Notebook 1

  3. Flipside-Ink-Blockchain-Dashboard-SQL Flipside-Ink-Blockchain-Dashboard-SQL Public

    On-chain data analysis using Flipside Crypto. SQL queries & dashboard for the Ink blockchain activities.

  4. Credit-Card-Fraud-Detection Credit-Card-Fraud-Detection Public

    Jupyter Notebook

  5. first-project first-project Public

    Python

  6. CeliaPires/spotify-tracks CeliaPires/spotify-tracks Public

    Jupyter Notebook 2