Hugo Kisebwe

Activities : Strategy workshops, peer-to-peer leadership sessions, case studies on global companies, executive networking with senior leaders. Selected for INSEAD’s Chief Strategy Officer Programme, designed for senior leaders driving corporate strategy and transformation. [Strategy & Leadership] - Corporate strategy in complex environments - Long-term strategic planning and execution - Competitive positioning and value creation - Stakeholder alignment and governance - Sustainability integrated into business strategy [Business & Transformation] - Growth strategy: where and how to compete - Innovation and business model transformation - M&A and portfolio strategy (growth, divestitures) - Ecosystem and partnership strategy - Strategic decision-making under uncertainty [Execution & Impact] - Translating strategy into initiatives and KPIs - Driving cross-functional alignment - Evaluating strategic options and trade-offs - Leading digital and AI-driven transformation - Applying frameworks to real-world cases

Activities : Strategy workshops, peer-to-peer leadership sessions, case studies on global companies, executive networking with senior leaders. Selected for INSEAD’s Chief Strategy Officer Programme, designed for senior leaders driving corporate strategy and transformation. [Strategy & Leadership] - Corporate strategy in complex environments - Long-term strategic planning and execution - Competitive positioning and value creation - Stakeholder alignment and governance - Sustainability integrated into business strategy [Business & Transformation] - Growth strategy: where and how to compete - Innovation and business model transformation - M&A and portfolio strategy (growth, divestitures) - Ecosystem and partnership strategy - Strategic decision-making under uncertainty [Execution & Impact] - Translating strategy into initiatives and KPIs - Driving cross-functional alignment - Evaluating strategic options and trade-offs - Leading digital and AI-driven transformation - Applying frameworks to real-world cases

Activities: - Present and demonstrate expertise on various topics related to artificial intelligence and augmented reality - Answer questions about Deloitte - Make suggestions on how to improve the company's brand image Language : English & French

[Training] - LangChain Mastery: Develop LLM Apps with LangChain & Pinecone - Databricks Machine Learning: Professional Training - Azure GenAI - Advanced RAG - Prompt Engineering [Business] Real Estate Development: - Real estate price prediction using machine learning and generative AI to extract data on housing plans. Aerospace: -Implementation of a GenAI architecture to detect errors in a P&L. Legal: - Development of a chatbot prototype to provide NDAs. Real Estate: - Development of a geospatial tool to analyze territories using Open Source data, aimed at identifying construction zones. [Technical] - Exploratory data analysis - Design and implementation of machine learning models - RAG Architecture - References: Python, OpenAI, Streamlit, Jupyter Lab, GenAI, Python, Django, JavaScript, Jira Languages: English & French

1) Banking & Automotive : AWS - Centralising data from various sources to create a single database. [Business] - Design of an AWS cloud architecture to process data - Propose a strategy for implementing a CRM (cloud marketing tool) and migration to the cloud. - Provide a strategy for migration to the cloud and implementation of Abobe Campaign/Microsoft Dynamics. - Referent: Amazon AWS service, Architecture Design & Data profiling for migration, Workshop 2) Automotive : Azure - Implementation of an analytical architecture to improve data quality in Salesforce databases in order to optimise customer relations. [Business] - Technical lead on the project: managing the development of the skills of those involved in the project - Manage the quality of deliverables (code, architecture and documentation). [Technical] - Data migration (On-premise and Salesforce) to the cloud - Set up a datalake on Microsoft Azure to analyse data from Salesforce and display the results on an Einstein Analytics Dashboard. - Creation of machine learning and statistical algorithms to improve the vehicle repository - Implementation of algorithms to monitor the quality of the data stored in the datalake - Implementation of a dashboard on einstein Analytics to monitor improvements in data quality in real time. - Referent: K-Means, XG Boost, Azure Purview, Azure Datab Language : English & French

Activities : [Business] - Pre-sales : Responding to market calls for tender in various business sectors. - Benchmarking NoSQL solutions on the market. - Implementation of a data processing strategy and realization of Azure cloud architectures based on use cases. [Technical] - Realization of a proof of concept (POC) for KPI management on a semantic layer: AI & Natural Language Processing with Rasa NLU - Internal missions: development of solutions and offers in dataviz, predictive analysis, AI and cognitive intelligence. - Creation of an OCR to speed up invoice reading for employee expense reports. References : -Tensorflow - TfLearn - Convolutional Neural Network (CNN), scikit Learn & Rasa NLU - Programming: Python, Rasa NLU, javascript, Electron, Html&CSS, Spacy - Microsoft Office: Word, Excel, Power Point - Kafka and Ksql training by Confluent Language : Engish & French