Idris M.

Key Skills

Software

Google Cloud Vertex AI

Top Subject Matter

Education Domain Expertise

Fintech Domain Expertise

Research Domain Expertise

Top Data Types

Image

Top Task Types

Fine-tuning

Relationship

Classification

Freelancer Overview

Data Scientist (June 2020 - Present) at Classy Advertising, Portugal. Brings 12+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Neo4j. Education includes Doctor of Philosophy, Stellenbosch University and Master of Science, Universiti Teknologi Malaysia (2016). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Classification, Relationship, and Computer Programming.

Labeling Experience

Data Scientist (June 2020 - Present)

Fine-tuningClassification

Led development of predictive AI models and graph-based machine learning solutions for multiple client projects, supporting downstream decision-making. Contributed to training and evaluation workflows that integrate traditional ML with Neo4j graph algorithms. Worked on automating business processes using data analysis and machine-learning pipelines. • Built a customer churn model combining traditional ML and graph-based models. • Developed horse-racing prediction models using graph-informed approaches. • Automated tasks with Python-based data analytics and process automation. • Produced actionable insights by segmenting customers from initial transaction data.

2020 - Present

Lecturer (Feb 2018 - Present)

OtherComputer Code ProgrammingComputer Programming/Coding

Taught and facilitated adoption of emerging technologies in an educational setting, supporting students in learning data/AI concepts through practical instruction. Delivered guidance on using AI-related tools and programming skills to improve learning outcomes. Provided ongoing lecturing and facilitation consistent with AI training and applied technical coaching. • Facilitated classroom instruction on emerging technologies and applied learning. • Supported adoption of AI/technology-oriented tools and workflows for students. • Encouraged practical use of programming concepts to build understanding. • Provided continuous teaching support from the course perspective.

2018 - Present

Data Scientist (May 2019 - May 2020)

Relationship

Built and applied a graph database model to enable graph-based analytics for fraud prevention and marketing applications. Developed components of graph-centered data workflows that informed customer recruitment and campaign effectiveness. Supported implementation of credit scoring related modeling for loan disbursement decisions. • Created a functional graph database model using Neo4j to support graph-based techniques. • Used graph approaches for preventing financial frauds and informing marketing/recruitment work. • Contributed to development of a credit scoring model for loan disbursement. • Worked in applied data science settings focused on business outcomes.

2019 - 2020

Education

Work History