Adeyemo Victor

Rising Codementor

US$20.00

For every 15 mins

First 15 mins free for your first session

ABOUT ME

Expert in AI, Python, Analytics | PhD | 9+ Years Experience

I’m passionate about sharing knowledge and helping others succeed in their data science and AI journey. With hands-on experience building real-world AI models and delivering industry projects that drive actionable insights, I bring both academic depth and practical expertise. I have taught university students (Level 4–7) in AI, Machine Learning, and Data Analytics, and supervised over 20 Master’s dissertations. I thrive on problem-solving, mentoring learners of all backgrounds, and making complex concepts easy to understand.

Edinburgh (+01:00)

Joined April 2025

EXPERTISE

9 years experience

9 years experience

6 years experience

4 years experience

I use PowerBI mainly for visualisation of insights inherent in data. I have completed various Digital Transformation projects where Power...

I use PowerBI mainly for visualisation of insights inherent in data. I have completed various Digital Transformation projects where PowerBI was the core tool for presenting information (i.e., KPIs) to stakeholders and senior business managers.

SQL Databases

2 years experience

Research

9 years experience

Research Papers

9 years experience

Published over 27 academic papers across various reputable journals and conference. I have over 900 citations https://scholar.google.com/...

Published over 27 academic papers across various reputable journals and conference. I have over 900 citations https://scholar.google.com/citations?user=dhC-iUoAAAAJ&hl=en

LaTeX TemplateLaTeX

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SOCIAL PRESENCE

GitHub

LCCspm

l-Length Closed Contiguous Sequential Pattern Mining Algorithm

Python

androidApp

EMPLOYMENTS

Lead Data Scientist

Morelife (UK) Ltd

2023-07-01-Present

I lead data science initiatives at MoreLife (UK) Ltd. I developed and deployed various supervised and unsupervised models to evaluate ...

I lead data science initiatives at MoreLife (UK) Ltd. I developed and deployed various supervised and unsupervised models to evaluate intervention outcomes across diverse contracts, integrating demographics, engagement, health-related, self-reported, lifestyle and behavioural metrics. My work contributed to the design of an AI-powered mobile app that uses real-time data to drive user engagement and support health-focused behaviour change.

Python

SQL

Python

SQL

Excel VBA

Azure

NumPy

Matplotlib

Pandas

Machine learning

Scipy

Cluster Analysis

Research

Deep Learning

User Research

Seaborn

Power BI

Scientific Research

Scikit-learn

Applied Scientist

Rugby Football League & Leeds Beckett University

2021-02-01-2023-01-01

· Built ML models for position classification, workload prediction, and performance analysis using GPS data.

· Worked with Mongo...

· Built ML models for position classification, workload prediction, and performance analysis using GPS data.

· Worked with MongoDB, Python, and R to manage and preprocess time-series and spatial performance data.

· Improved player classification accuracy by 30% through AI-driven segmentation and clustering models.

· Published peer-reviewed sports data science research with over 800 citations.

· Supported performance strategy and insights for coaches and technical staff.

Python

MongoDB

Python

MongoDB

Cluster Analysis

Performance analytics

Predictive Analytics

Predictive modeling

Performance Monitoring

PROJECTS

LCCspm algorithm development

2022

Design and implementation of a pattern mining algorithm for finding a specified-length closed contiguous subsequence. Two variations (t...

Design and implementation of a pattern mining algorithm for finding a specified-length closed contiguous subsequence. Two variations (time and space saving) of the algorithms was implemented and made publicly available.

Python 3

Streamlit

Python 3

Streamlit

AI-Driven Performance Analysis Using Time-Series GPS Data

2023

I developed machine learning models to classify and segment player movement patterns from complex, multi-dimensional GPS data in collabor...

I developed machine learning models to classify and segment player movement patterns from complex, multi-dimensional GPS data in collaboration with the Rugby Football League and Leeds Beckett University. Using Python, scikit-learn, and PyTorch, I built predictive models that improved player role classification by 30%. I also managed large-scale data pipelines (MongoDB) and translated technical findings into actionable insights for non-technical stakeholders. This project showcases my ability to apply AI to real-world problems, work with messy datasets, and deliver client-ready solutions.

MongoDB

Matplotlib

MongoDB

Matplotlib

Machine learning

Python 3

Clustering

Power BI

PyTorch

Scikit-learn