About David
- Design and implementation of automated strategies (scalping, swing, market making, etc.).
- Integration with broker APIs (IBKR, TWS, FIX) and data platforms.
- Development in Python using libraries such as ib_insync, pandas, numpy, asyncio.
- Reconnection handling and fault tolerance for 24/7 environments.
- Implementation of advanced order types (limit, market, trailing stop, dynamic stop-loss).
- Backtesting and optimization with historical data.
- Deployment in cloud environments or dedicated servers (Docker, Linux).
- Proven experience building resilient bots that handle disconnections, reconnections, and latency.
- Clean, well-documented code focused on security and stability.
- Clear communication and ongoing support for adjustments and improvements.
- Python, ib_insync, asyncio, pandas, numpy
- Interactive Brokers APIs (IB Gateway/TWS)
- Docker, Linux, Git
- Quantitative strategies and risk management
Spanish
Native or bilingual
English
Fluent
Experience
- AccentureData Scientist - ConsultantLOGISTICS AND SUPPLY CHAINJanuary 2019 - January 2023 (4 years)- Inventory Diagnosis & Optimization- Demand Forecasting- Machine Predictive Maintenance- Financial Cost Estimation
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Education
- Certified in Planning and Inventory Management, Part 1 (APICS)Association for Supply Chain Management (ASCM)2021
- Fundamentals of Accelerated Data Science with RAPIDSNVIDIA2020