Hammas A.

Key Skills

Software

Other

Top Subject Matter

Data Science and Artificial Intelligence coursework (project-based).

Artificial Intelligence and Machine Learning coursework (hybrid).

Data Science and Business Intelligence (academic training).

Top Data Types

Text

Document

Top Task Types

Fine-tuning

Data Collection

Freelancer Overview

Professional Certificate — Data Science (Boston Institute of Analytics, 29/11/2024). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Master of Science, Asia Pacific University (2025) and Bachelor of Business Administration, Institute of Business and Health Management (IBHM), DUHS (2023). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Evaluation, Rating, and Fine-tuning.

Labeling Experience

MSc Data Science & Business Intelligence (Asia Pacific University, ODL, 15/08/2025–Current)

OtherTextData Collection

Currently pursuing an MSc in Data Science & Business Intelligence, with coursework expected to include data preparation, analysis, and model-oriented work. The program focus aligns with transforming datasets into structured analytical outputs for business and data-driven decision making. Ongoing learning indicates continued engagement with AI/data science pipelines. • Develops foundations in data analysis and application of analytics tools. • Uses business intelligence concepts to structure analytical outputs. • Builds skills for working with data for modeling and reporting. • Continues applying project-based learning practices throughout the program.

2025 - Present

Professional Certificate — Artificial Intelligence (Boston Institute of Analytics, 29/11/2024)

OtherFine-tuning

Completed an Artificial Intelligence and Machine Learning certification focused on building predictive models and applying supervised and unsupervised learning methods. Implemented core algorithms including regression and classification as well as clustering to support model development workflows. Covered neural network and deep learning fundamentals for applying AI concepts to real-world scenarios. • Built predictive models using supervised and unsupervised learning. • Applied algorithms such as regression, classification, and clustering. • Explored neural networks and deep learning fundamentals. • Used AI concepts for practical problem-solving scenarios.

2024

Professional Certificate — Data Science (Boston Institute of Analytics, 29/11/2024)

OtherText

Worked on data analysis tasks that included cleaning and exploratory steps as part of Data Science learning projects and certification work. Used dataset exploration to find patterns and insights that could inform downstream modeling decisions. The work emphasized translating raw data into structured representations and actionable outputs for decision making. • Cleaned and preprocessed data with Python libraries. • Conducted exploratory data analysis (EDA) to uncover trends. • Built data visualization dashboards and reports. • Applied statistics concepts to interpret real-world data.

2024

Education

Work History