Summary
Overview
Work history
Education
Skills
Certification
SELECTED PROJECTS
Custom
Timeline
Generic

Evans Aigbe

Dublin 24,Dublin

Summary

Energetic Sales Team Leader with knack for motivating teams and driving sales growth. Boosted regional sales through targeted strategies and streamlined processes, leading to significant revenue increases. Known for fostering collaborative environments that prioritise results and employee development.

Overview

1
1
Certification
8
8
years of professional experience

Work history

Sales Team Lead

Nigerian Breweries Plc., Lagos
Lagos
2019.12 - 2024.11

Sales Executive

Nigerian Breweries Plc., Lagos
Lagos
2017.04 - 2019.11

Education

Postgraduate Diploma - Artificial Intelligence and Machine Learning: Business Applications

The University of Texas at Austin
Austin, TX, USA
2025.12 - 2026.06

B.Sc. - Physics

Obafemi Awolowo University
Ile-Ife, Osun State, Nigeria

Doctor of Philosophy - Doctor and Masters of Business Administration in Artificial Intelligence and Machine Learning

Walsh College
Troy, Michigan, United States
2026.01 -

Skills

  • Retrieval-Augmented Generation (RAG) Framework
  • Machine Learning Modeling
  • SQL & Data Visualisation
  • Data Preprocessing
  • MLOps
  • Exploratory Data Analysis
  • Business Data Analytics
  • CI/CD Integration
  • Supervised Learning Methods
  • Unsupervised Learning
  • Data Cluster Analysis
  • Ensemble Methods
  • Predictive Modeling
  • Hyperparameter Tuning
  • Active Listening & Patience
  • Time & Priorities Management
  • Data Presentation Skills
  • Attention to Detail
  • Organisation & Planning
  • Analytical & Critical Thinking
  • Adaptability & Flexibility
  • Interpersonal Communication
  • Emotional Intelligence

Certification

  • Microsoft AI Professional – AI to OpenAI (2025).
  • Https://www.mygreatlearning.com/eportfolio/evans-ehijele-aigbe

SELECTED PROJECTS

Trade & Ahead – Unsupervised Learning August 2024., Profiled cluster characteristics that reveal actionable market insights., Scrutinised stock market data to distinguish different investment groups., Implemented K-means and hierarchical clustering algorithms for analysis., Provided a data-driven stock classification system that enables portfolio diversification strategies based on comprehensive attribute analysis., EasyVisa – Ensemble Techniques June 2024., Implemented advanced ensemble techniques, including XGBoost., Established a visa approval prediction model with over 90% accuracy., Delivered a complete applicant profiling framework enabling immigration officers to make informed decisions based on statistical probability of success., ReCell – Supervised Learning, Foundations May 2024., Developed a pricing model for the marketplace of used electronic devices., Created a dynamic pricing strategy framework enabling a 16% price adjustment while ensuring a competitive market position based on device condition data., RAG-based Medical Assistant Feb 2025., The project focuses on building a Retrieval-Augmented Generation (RAG)-based AI solution to help healthcare professionals overcome challenges like information overload, slow diagnosis, and access to trusted medical knowledge. Using renowned medical manuals as a knowledge base, this system will provide quick, accurate, and reliable information, improving patient outcomes and enabling faster, informed decision-making., Streamlining Auto Vehicle Pricing through MLOps March 2025., The project aims to design and implement an MLOps pipeline for an automobile dealership in Las Vegas to automate vehicle pricing workflows. This system will streamline manual processes by integrating data-driven pricing, ensuring consistent model performance, and enabling scalability. The pipeline will handle data preprocessing, model training, evaluation, and deployment with CI/CD capabilities, enhancing pricing accuracy, operational efficiency, and customer satisfaction.

Custom

  • Dear Hiring Manager
  • I am writing to express my enthusiasm for data science opportunities within your esteemed organisation. I have attached my CV for your consideration. As a Data Scientist with a strong quantitative background and a recently completed Postgraduate Diploma in Data Science and Business Analytics from the University of Texas at Austin, I bring a unique combination of technical knowledge and business acumen that can drive value for your team.
  • My portfolio consistently applies advanced analytics to solve complex business problems. In my most recent project with Trade&Ahead, I implemented K-means and hierarchical clustering algorithms to classify stocks into distinct investment groups, delivering actionable market insights that enabled portfolio diversification strategies. Similarly, for ReneWind, I engineered machine learning solutions that identified potential wind turbine failures before critical breakdown points, significantly reducing maintenance costs and operational downtime.
  • My technical accomplishments extend to predictive modelling with measurable outcomes. For the EasyVisa project, I developed a visa approval prediction model that achieved over 90% accuracy using advanced ensemble techniques, including XGBoost. This comprehensive applicant profiling framework enabled more informed decision-making based on statistical probability. In another pricing initiative for ReCell, I created a dynamic pricing strategy framework that enabled a 16% price optimisation while maintaining competitive market positioning based on device condition metrics.
  • Statistical analysis and hypothesis testing form the foundation of my analytical approach. During the E-news Express project, I executed A/B testing that revealed significant relationships between language preferences and conversion rates. This led to a targeted content strategy that increased subscriber acquisition by 22%. This exemplifies my ability to translate raw data into strategic business recommendations that drive measurable results.
  • My transition from sales leadership has equipped me with invaluable business context and stakeholder management skills that complement my technical capabilities. I excel at communicating complex findings to non-technical audiences and aligning analytical solutions with business objectives. My core competencies include machine learning modelling, statistical analysis, Python programming, and data visualisation using Power BI and Tableau tools. These allow me to deliver end-to-end data science solutions from preprocessing to actionable insights.
  • I am passionate about leveraging data to uncover hidden patterns and drive evidence-based decision-making. I look forward to the opportunity to discuss how my technical expertise and business experience could contribute to your organisation's data science initiatives and strategic goals.
  • Thank you for considering my application.
  • Yours sincerely
  • Evans Ehijele Aigbe

Timeline

Doctor of Philosophy - Doctor and Masters of Business Administration in Artificial Intelligence and Machine Learning

Walsh College
2026.01 -

Postgraduate Diploma - Artificial Intelligence and Machine Learning: Business Applications

The University of Texas at Austin
2025.12 - 2026.06

Sales Team Lead

Nigerian Breweries Plc., Lagos
2019.12 - 2024.11

Sales Executive

Nigerian Breweries Plc., Lagos
2017.04 - 2019.11

B.Sc. - Physics

Obafemi Awolowo University
Evans Aigbe