Welcome to my GitHub profile! I am a seasoned Data Scientist and Machine Learning & AI Engineer with extensive experience in developing innovative solutions and delivering actionable insights. My expertise lies in applying advanced data analysis, machine learning, and AI techniques to tackle complex challenges and drive impactful results.

• Causal Inference: Delving into causal relationships to enable data-driven decision-making.
• Machine Learning & AI: Dedicated to developing and deploying cutting-edge ML and AI models.
• AI Agents Collaboration: Passionate about creating AI agents that collaborate to accomplish intricate tasks.

• Programming Languages: Python, R, SQL
• Machine Learning & Deep Learning: Scikit-Learn, TensorFlow, Keras, PyTorch
• Causal Inferences: CausalML, Geolift
• Natural Language Processing (NLP): NLTK, SpaCy, Transformers
• AI: Langchain, LlamaIndex, Autogen, CrewAI, LangGraph
• Data Analysis & Visualization: Pandas, NumPy, Matplotlib, Seaborn
• Cloud Platforms: AWS, Azure, GCP
• Version Control: Git, GitHub, Gitlab
• Other Tools: Docker

I have collaborated with high-profile clients to deliver data-driven solutions that optimize operations and drive business growth. My key positions and projects include:

Delivered acquisition chatbots to corporations, powered by AI agents:

• Designed a platform for users to craft personalized chatbots using diverse data sources.
• Implemented a logic system to organize and structure the provided data, resulting in a Vector Database enriched with precise metadata for hybrid/self-querying search capabilities.
• Created chatbots that not only inform clients but also gather leads through custom actions.

• AI & NLP Projects:

  • Developed private retrieval-augmented generation applications using GPT-4 and open-source models for enhanced information retrieval.
  • Implemented topic and sentiment analysis on employee engagement surveys to improve retention strategies.
  • Created AI agents that autonomously search the web and various APIs to extract structured insights from unstructured data for competitive analysis.

• ML Model Development Projects:

  • Developed ML models for acquisition forecasting, improving marketing budget allocation efficiency.
  • Built ML models for churn probability estimation, enabling targeted retention actions.
  • Created Causal ML models to assess the impact of retention treatment to user to enhance retention

• Research and Experimentation Projects:

  • Conducted causal experimentation on marketing channels to optimize budget allocation.
  • Researched market volatility, creating an index to capture fluctuations in market demand and assess Qonto's acquisition performance against a neutral metric.

• ML Model Development:

  • Designed ML models to evaluate the monetary impact of client actions, enhancing targeted pitches.

• Time Series Forecasting:

  • Forecasted market metrics using statistical and advanced ML models for optimal sales team allocation.

• Quantitative and Statistical Analysis:

  • Analyzed market variations and sales team performance, providing actionable insights to senior management.

Feel free to reach out to me for collaboration or consulting opportunities:

• [LinkedIn(https://www.linkedin.com/in/arthur-cruiziat-cauvin-07361883/)]