Sidik Sanogo -

Mission 1: Designed and implemented an ETL data pipeline with AWS S3 storage as the source, conducted exploratory data analysis using Jupyter Notebook, and developed a Streamlit web app integrated with OpenAI's API to automate, extract, and manage service plans. Results: Reduced manual data entry by 90%, enabled automatic validation, improved data quality, accelerated delivery, minimized configuration errors, and optimized resource allocation. Mission 2: Organized and led training sessions on designing AI agents to automate specific marketing tasks and enhance external communication processes. Results: Increased skill levels of non-technical teams and achieved initial deployments of AI agents into communication workflows.

Mission 1: Data analysis and AI application development using embeddings with a Streamlit interface to optimize moderation. Method and Result: Leveraged Python and OpenAI API for quick access to user response data, achieving a time savings of over 85%. Mission 2: Implementation of scripts to detect negative e-reputation and automation of AO (Appel d'Offres) searches. Method and Result: Utilized web scraping and NLP techniques to filter articles and automate searches, reducing the time required for detecting negative articles and AO searches by 50%. Mission 3: Conducted training sessions on GenAI. Method and Result: Developed interactive training modules on using GenAI, enabling teams to quickly master generative AI tools, thereby increasing efficiency and innovation in projects.

Mission: Exploratory data analysis of real estate web data, strategic monitoring, and use of visualization tools. Method and Result: Conducted analysis using linear regression and time series, revealing key trends to refine decisions on tenant complaints.

Mission: Analysis of healthcare agents' performance and creation of activity monitoring reports. Method and Result: Analyzed key performance indicators and created interactive dashboards with Power BI, enabling effective monitoring of agent productivity.

Mission: Developed a digital library. Method and Result: Utilized PHP, JavaScript, SQL, and ULM, leading to efficient resource management and improved access to documents.

Mission: Designed and implemented an invoice management application. Method and Result: Utilized the MERISE methodology for analysis, ensuring a structured and efficient application design.