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:
- 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
- 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
Open to collaborating on blockchain data projects, crypto analytics tools, and Web3 dashboards. Let's build something innovative together!
- LinkedIn: Ivy Kepiro
- Twitter: @CryptoooIvy