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Nicola T.

Nicola T.

AI Tools and Python Practice Projects (Learning Projects)

Botswana flagGaborone, Botswana

Key Skills

Software

Other

Top Subject Matter

Beginner Python coding
prompt engineering
AI-assisted learning workflows

Top Data Types

TextText
DocumentDocument

Top Task Types

Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
ClassificationClassification
Entity (NER) ClassificationEntity (NER) Classification

Freelancer Overview

AI Tools and Python Practice Projects (Learning Projects). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Claude, ChatGPT, and Other. Education includes Bachelor of Science, Botho University (2025). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Prompt + Response Writing (SFT), Evaluation, and Rating.

Labeling Experience

Data Science Student (Projects) - Botho University

DocumentDocumentClassificationClassificationEntity (NER) ClassificationEntity (NER) Classification

You analyze academic datasets using Python and Excel to identify trends, patterns, and key insights. You build beginner-friendly classification and regression models using machine learning fundamentals and supporting libraries. You clean datasets, apply basic statistics, create visual summaries, and document findings for clear communication. • Analyze datasets using Python and Excel • Build classification and regression practice models • Perform data cleaning and basic statistical analysis • Create visual summaries and document insights

2025 - Present

Data Analysis and Machine Learning Projects (Botho University)

Conducted data analysis and built classification and regression practice models, including dataset cleaning and basic statistical analysis. Although primarily exploratory, the work involved validating model outputs against expected behaviors and documenting findings for learning. The projects emphasized repeatable preparation steps commonly used in ML training pipelines. • Cleaned datasets and prepared features for ML model practice. • Applied basic statistics and created visual summaries for interpretation. • Built beginner classification and regression models in Python. • Documented results clearly to support iterative learning.

2025 - Present

AI Tools and Python Practice Projects (Learning Projects)

TextTextPrompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Applied AI tools to support coding and research workflows by generating, refining, and guiding prompts for beginner tasks. Assisted with debugging and improvement loops using AI to enhance structured problem solving in Python. Documented and practiced responsible AI usage to improve learning outcomes. • Planned and iterated prompts for coding/debugging exercises. • Used AI to organize research workflows and support learning. • Practiced structured problem-solving and workflow automation thinking. • Applied prompt-based guidance to improve beginner Python tasks.

2025 - Present

Education

B

Botho University

Bachelor of Science, Data Science

Bachelor of Science
2025

Work History

F

Freelance Practice

Freelance Research and Digital Marketing Assistant

Gaborone
2025 - Present
B

Botho University

Data Science Student (Projects)

Gaborone
2025 - Present