Abdullah Alabdullatif

I'm a data scientist and strategy consultant with a background in Electronic & Electrical Engineering and Data Science & Machine Learning from UCL. I've worked at Bain & Company's AI Insights & Solutions team, where I sharpened my skills in applied data science and strategic problem-solving. I share my projects, learnings, and writing here - Have a look around!

Projects

NLP / LLMs

Talk to Your Docs

Custom RAG Chatbot

A RAG-based chatbot for PDF documents evolving from basic LangChain to custom PyTorch components, with Arabic OCR support and multilingual embeddings.

ML / Forecasting

Customer Satisfaction Model

Predictive & Forecasting

NPS and CSAT predictive framework combining classification, time series forecasting, and interactive dashboards to identify satisfaction drivers and simulate the impact of operational decisions.

Unsupervised ML

Customer Segmentation

Private Equity Due Diligences

Probabilistic customer segmentation using Latent Class Analysis on survey data, identifying distinct consumer groups to support private equity commercial due diligence.

Geospatial / Analytics

Location Intelligence

Private Equity Due Diligences

Streamlit-based geospatial analysis tool for PE due diligences, covering geocoding, spatial enrichment, catchment generation, and attractiveness scoring.

Reinforcement Learning

Multi-Agent RL

Google Research Football

Final year research project at UCL exploring cooperative multi-agent reinforcement learning in Google's football environment. Completed independently as a first ML project with no prior experience in the field.

Machine Learning

EPL Match Prediction

UCL Coursework

Predicting English Premier League match outcomes using feature engineering, Elo-based team ratings, and classification models trained on historical match and player-level data.

RecSys / NLP On Hold

Restaurant Recommender

Yelp Dataset

Content-based and collaborative filtering recommender using Yelp data, with transformer-based NLP for review analysis.

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Blog

I write about anything I find interesting to share, but mainly around what I've learnt recently.

Andrej Karpathy's Deep Dive into LLMs video thumbnail

Key Takeaways from Andrej Karpathy's Deep Dive into LLMs

A summary of the most exciting and surprising aspects of Large Language Models from Andrej Karpathy's 3-hour deep dive video.

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Certificates

CFA Level 1

CFA Institute

Completed the Chartered Financial Analyst Level 1 exam in November 2023, acquiring fundamental knowledge in investment tools, valuing assets, portfolio management, and wealth planning.

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Machine Learning Specialization

DeepLearning.AI

Reinforced and advanced my understanding of core ML concepts, including supervised learning, unsupervised learning, reinforcement learning, neural networks, etc.

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Deep Learning Specialization

DeepLearning.AI

Developed a strong foundation in deep learning, covering neural network architectures (CNNs, RNNs, LSTMs), backpropagation, optimization, and practical model tuning.

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