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XBLOCKCHAIN, DATA SCIENCE, ALGOTRADING (quant).
DATA SCIENCE
→ Predictive Models
→ Algotrading / Trading Strategies / Automated Systems
→ High Frequency Data Analysis
→ Machine Learning [Adversarial Validation Ensembles, Linear Regression, Gradient Trees Ada Boosting, Gradient Boosting, etc.]
→ ETL / Data Wrangling / Data cleaning [pandas, numpy]
→ LLMs: ChatGPT / Open Source Models (eg. LLama-2) / Stable Diffusion
→ Data Visualization [matplotlib, pyplot, bokeh, seaborn, etc.]
→ Data Analysis / Quantitative Analysis
→ Networks [networkX]
→ Time Series Forecasting
BLOCKCHAIN
→ Blockchain/Cryptocurrency Algotrading
→ Blockchain Automation
→ Smart Contract Development and Integration
→ Ethereum, Binance Smart Chain (BSC), Polygon, Solana
→ Decentralized Applications (DApps)
→ Decentralized Autonomous Organizations (DAO)
→ Blockchain Analytics (using APIs and using raw blockchain data)
→ Security Audits
→ Exchanges: P2P, DEX
→ Token Standards: ERC-20, ERC-721, ERC-1155, BEP-20, Flow Tokens
→ DeFi Protocols: Uniswap, SushiSwap, Compound, Aave
→ Blockchain Forensics
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