Jordan

5 (1 review)

Rate ₦54499
Response 1h

5 (1 review)

₦54499/h

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Computer Science
Software

Offering Elite Python, Data Science and Machine Learning tuition. Chilled Teaching approach

Name: Jordan
Address: London, NG
Telephone: undefined
Price range: ₦54499

Computer Science
Software

Lesson location

- webcam

About Jordan

I’m Jordan Clive, Lead Deep Learning Scientist / Engineer at Chattermill AI in London. Day-to-day I design, fine-tune and deploy large-language-model systems used by global brands like Uber and Amazon.

I’m also passionate about open-source and the frontier, as a core contributor to LAION’s OpenAssistant—the original open-source alternative to ChatGPT—and have peer-reviewed papers at EMNLP, ICLR, NAACL and COLING. Academically, I earned a Distinction MSc in Computing (Machine Learning & AI) from Imperial College London with an average of 92% and won a prize for first-author work with Google DeepMind. I also review for top NLP conferences, including ACL 2025 and EMNLP 2023.

My open-source footprint spans Hugging Face Transformers, MMTEB, and numerous public LLM checkpoints downloaded thousands of times. Alongside frontier research, I still enjoy the “classics”: scikit-learn, XGBoost, time-series modelling and solid software engineering. That mix of bleeding-edge and traditional data science lets me meet students exactly where they are—whether they’re writing a first Python loop or scaling a 100B-parameter model on H100s.

About the lesson

Bring your problem—homework, project, or study topic—and we’ll solve it together. I combine front-line industry experience (shipping RAG and custom LLMs for clients like Uber & Amazon) with the empathy of someone who started in a data-science boot camp. I understand both steep learning curves and real-world constraints.

⸻ How sessions run
• Tailored start – I gauge your current knowledge and learning style, then sketch a mini-curriculum that balances motivation and challenge.
• Project-based – We build something tangible each session (e.g. an image generator or a Streamlit dashboard), so you leave with runnable code and next-step notes.
• Intuition first – Clear explanations and sketches come before equations or APIs.

⸻ Topics covered
• Core data science – Pandas, NumPy, visualisation, XGBoost / LightGBM, supervised & unsupervised learning (PCA, K-Means), Bayesian inference, Streamlit / Gradio.
• Advanced ML & AI – Neural networks, Transformers, Hugging Face, RAG pipelines, agentic AI, LoRA fine-tuning, PyTorch, vLLM, GPU workflows, production tips (Docker, “push-to-prod”).
• Maths support – Linear algebra, optimisation, probabilistic inference.

⸻ Who it suits
From beginners or young students to working professionals. Message me for more details about me or your first project or question—then let’s get building.

Recommendations

Recommendations come from relatives, friends and acquaintances of the tutor

J

James

Thanks to Jordan’s clear explanations and project-based approach, I landed my first Data Scientist role—and later pivoted into Machine Learning! He makes complex topics feel approachable and gave me the confidence to build real-world projects.
Read more

J
James
Thanks to Jordan’s clear explanations and project-based approach, I landed my first Data Scientist role—and later pivoted into Machine Learning! He makes complex topics feel approachable and gave me the confidence to build real-world projects.
View more recommendations

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Rate

₦54499

Pack prices

5h: ₦272495
10h: ₦544989

webcam

₦54499/h

Offering Elite Python, Data Science and Machine Learning tuition. Chilled Teaching approach

Lesson location

About Jordan

About the lesson

Recommendations

Rates

Rate

Pack prices

webcam

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Offering Elite Python, Data Science and Machine Learning tuition. Chilled Teaching approach

Lesson location

About Jordan

About the lesson

Recommendations

Rates

Rate

Pack prices

webcam

Similar Computer Science tutors in London

Johnson

Osekosor Theophilus

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Kingsley

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Adewale

Goodnews

Amusan Christianah

Samuel

Kehinde

Sylvia

Stantech

Collins

Afolabi

Michael

Enobong

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