Freelancer profile translated to English.
Back to original languageAbout Paul
Freelance Python expert with 12 years of experience, primarily focused on data, machine learning, automation, and business tool development.
I help companies leverage their data, improve the reliability of their Python tools, automate their processes, and build simple, robust, and maintainable technical solutions to address concrete business problems.
My main areas of expertise:
➤Data Engineering:pipelines, ETL, data cleaning, transformation, structuring, and reconciliation from multiple sources;
➤Machine Learning:creation of customized solutions for specific business problems such as scoring, classification, clustering, forecasting, matching, time series analysis, and improving existing models;
➤Automation:Python scripts, data extraction, automated reporting, web scraping, API integration, and business workflow automation;
➤Python Auditing and Reliability:refactoring, improving existing scripts or tools, documentation, testing, and industrialization;
➤Data Visualization:dashboards, GUIs, internal tools, analysis interfaces, interactive reporting, and even complete custom software;
➤Backend Python:APIs, internal services, and integrations, particularly when related to data, automation, or business tools.
I can assist with specific problem-solving or support projects over several weeks or months.
I am a quantitative trader by profession, so I can also help with any issues related to quantitative finance.
French
Native or bilingual
English
Native or bilingual
Can work on-site
Paris (up to 50km), Bordeaux (up to 50km), Toulouse (up to 50km)
Experience
- Paul Noailly ConsultingCEO - ConsultantCONSULTING AND AUDITSFebruary 2022 - Today (4 years and 6 months)- Missions performed➤ FTX historical data scraping➤ Implementation of a flexible backtesting module➤ Implementation of volume profile and divergence indicators➤ Multi-timeframe strategy backtesting➤ Streamlit user interface setup➤ Binance historical data scraping➤ Trend following strategy backtesting, and improvement suggestions➤ Production deployment of a strategy on GCP (VM+buckets), with post-production tools on local notebooks (parameter updates, past trade analysis, log import, ...)
- Paul Noailly TradingQuantitative TraderBANKING AND INSURANCEJanuary 2020 - Today (6 years and 7 months)Paris, France➤ Data Architecture & Workflows: data scraping, data recorder, standardization, database design, access & edit workflows...➤ Python packages for backtesting, optimization, and robustness testing for each strategy type (simple long short, pairs trading, market making, unidirectional machine learning, scalping, ...)➤ Production deployment of Forex + crypto statistical arbitrage algorithms (7+ Sharpe ratio)➤ Development of data visualization and editing platforms & software (PyQt & Streamlit)➤ Financial markets modeling
- KryptalgoQuantitative AnalystBANKING AND INSURANCEJuly 2019 - January 2020 (6 months)Nantes, France➤ Development of a long-short algorithm based on deep learning and market order history.➤ Improvement of a market-making algorithm: implementation of volatility cycles increasing ROI by 30%, and implementation of a machine learning prediction model to avoid volatility spikes, using the order book and market order history.➤ Participation in a classic statistical arbitrage algorithm.
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Education
- Engineer - Specialization in Computer Science & Financial EngineeringCY-Tech2019➤ Computer Science (Python, C++, Scilab, Linux, …) ➤ Mathématiques Financières (Calcul stochastique, option & greeks, optimisation, modélisation, …)
- Master 104 - Research in FinanceUniversité Paris Dauphine2019➤ Recherche Financière ➤ Economie ➤ Mathématiques Financières