Associate at Kearney focused on Digital & Analytics engagements, blending operations strategy with data science and AI engineering. I turn ambiguous business problems into measurable impact—whether it is right-sizing medical rosters, forecasting critical supplies, or automating trading workflows.
- Role: Associate, Digital & Analytics @ Kearney (based in Dubai, serving clients across the Middle East)
- Background: BE Electrical & Computer Engineering (Artificial Intelligence emphasis), American University of Beirut
- Focus areas: Applied machine learning, optimisation, time-series forecasting, productisation of analytics solutions
- Community: 500+ professional connections, 2K+ followers, active mentor and curriculum contributor in AI communities
| Period | Role & Organisation | Highlights |
|---|---|---|
| 2024 → Present | Associate, Kearney | Lead cross-functional teams delivering analytics transformations; manage workstreams from discovery to implementation. |
| 2023 → 2024 | Senior Business Analyst, Kearney | Built LLM-enabled tooling, designed data platforms, and delivered AI roadmaps for regional clients. |
| 2022 → 2023 | Business Analyst, Kearney | Embedded with Advanced Data Analytics practice; delivered ML/AI proofs of concept and operational dashboards. |
| 2021 | Teaching & Research Assistant, American University of Beirut | Supported ML and AI coursework; researched reinforcement learning applications. |
| 2020 | Machine Learning Engineer Intern, Zaka | Authored ML curriculum content and implemented analytical models for education partners. |
- DeepLearning.AI: Deep Learning Specialization, Generative AI with Large Language Models
- DataCamp: Machine Learning for Finance, Time Series Analysis
- Technical stack:
Python·Flask·FastAPI·PyTorch·Stable Baselines3·OR-Tools·PuLP·Pandas·NumPy·SQL·Azure·Docker·GitHub Actions - Methods: Operations research, LLM applications, computer vision, time-series forecasting, reinforcement learning
- Duty Scheduler — Production-ready Flask service generating balanced medical intern duty rosters with optimisation and Excel export workflows.
- Volunteer Workforce Scheduler — OR-Tools CP-SAT optimiser and Tkinter UI used by Lebanese Red Cross teams for fast roster creation.
- Bitcoin RL Trader — Stable Baselines3 DDPG trading agent with Alpaca paper-trading integration and CLI deployment.
- Gym Rubiks Cube Solver — Custom OpenAI Gym environment and DQN notebooks achieving 83% 3×3 cube solve accuracy.
- PPE Inventory Forecasting — ARIMA-based forecasting workflow predicting protective equipment consumption for emergency services.
- AgriDoc — YOLOv5 fine-tuning for crop disease detection across agricultural imagery datasets.