Callum - Data analysis tutor - London
Callum - Data analysis tutor - London

Callum's profile, qualifications and contact details have been verified by our experts

Callum

  • Rate RM191
  • Response 1h
Callum - Data analysis tutor - London

RM191/h

See Data Analysis tutors

This tutor is currently unavailable

  • Data Analysis

Machine Learning Researcher. Professional research projects focus on adversarial machine learning, AI robustness and safety in Computer Vision (YOLO, Mask R-CNN), NLP, and OCR.

  • Data Analysis

Lesson location

About Callum

Machine Learning Research Engineer with professional experience working for a London-based start-up doing contracts for UK Defence.

I have a distinction in MSc Data Science and Analytics from the University of Leeds with a focus on Machine Learning and AI. My thesis title was "Fully Automated Hand Tracking for Parkinson's Disease Diagnosis" (Average grade 88.2%).

Bachelor's Degree in Engineering, during which I was employed by the university for 2 years as a tutor and careers coach for over 200 freshers.

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About the lesson

  • Primary
  • Secondary
  • SPM
  • +12
  • levels :

    Primary

    Secondary

    SPM

    Form 6

    STPM

    Adult education

    Bachelor

    Masters

    Diploma

    Doctorate

    Beginner

    Intermediate

    Advanced

    Professional

    Kids

  • English

All languages in which the lesson is available :

English

I am available for tailored and personalised lessons depending on student's requirements.

Areas of focus may include Python, PyTorch, Deep Learning, Decision Trees, Random Forests, XGBoost, SVM, cluster analysis, and other data analysis techniques including regression.

Also, mathematics tuition is available!

Every student is different, therefore I will be asking you for ongoing feedback to ensure that we are covering the material that matters most.

I am keen to tutor students no matter their level. Every problem can be broken down into small and manageable chunks.

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Rates

Rate

  • RM191

Pack rates

  • 5h: RM957
  • 10h: RM1914

online

  • RM191/h

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