Data Accelerator | Digital Project Management Background
With 10+ years of experience in digital transformation and project management, I'm currently focusing on data science and AI to drive innovation and impactfull technologies. My unique perspective combines strategic vision with technical expertise.
- Transitioning to Data Science and AI
- Developing ML/DL solutions for real-world problems
- Exploring cloud-based data architectures
- Building data-driven applications
Description: AI solution that generates depth maps from 2D images, enabling the creation of three-dimensional scene understanding from single images.
Challenge: Implementing and comparing different deep learning architectures (autoencoder, U-net, MiDaS 3.0) to find the most effective approach for depth prediction while ensuring scalability on GCP.
Technologies: Python, Tensorflow, MiDaS 3.0, Google Cloud Platform, Streamlit
Repository:
Description: AI-powered job application assistant that analyzes job offers and generates tailored application materials using Claude AI, helping to streamline the job search process. Description: AI-powered job application assistant that evaluates the fit between a candidate's profile and job offers by analyzing compatibility, generating detailed assessments and providing tailored application materials using Claude AI.
Challenge: Implementing efficient PDF processing and prompt engineering to extract relevant information from job offers and generate personalized cover letters. Managing API costs and cache strategy while ensuring accurate analysis of job requirements against personal profile.
Technologies: Python, Anthropic Claude AI, Streamlit, PDF Processing
Repository: Job Set & Match
Description: Educational project focused on building a platform that converts various audio sources into text transcriptions.
Challenge: Learning to integrate and orchestrate multiple third-party APIs (ListenNotes, Spotify, YouTube, AssemblyAI) into a cohesive application while managing different data formats and authentication methods.
Technologies: Python, Streamlit, RESTful APIs (AssemblyAI, ListenNotes, Spotify, YouTube)
Repository: AudioScribe
Description: Integration pack that brings Telegraph's minimalist publishing capabilities directly into Coda.io, enabling efficient content management and collaboration.
Challenge: Developing bidirectional content conversion between Coda.io's rich text format and Telegraph's specific DOM structure, requiring complex HTML parsing and custom node transformation to maintain content fidelity across platforms.
Technologies: TypeScript, Coda SDK, Telegraph API, HTML Parser, DOM Manipulation
Repository: Coda Telegraph Pack
- Data Analysis & Machine Learning
- Project Management & Team Leadership
- Process Optimization
- Strategic Planning
- Cross-functional Communication
- Email: [email protected]
- LinkedIn: jbolivier
Last Updated: 26/10/2024