Position: Data Engineer
Category: Data Science
English level: upper
Years of experience: 1.5

Engaged in self-directed learning, active enhancement of expertise in data science is 
the primary focus. Proficiency in statistical analysis, predictive modeling, and 
programming defines the skill set. The immediate goal is to apply and refine this 
proficiency in the data science field, with an aspiration to secure a data scientist role 
within a forward-thinking organization valuing existing skills and the commitment to 
continuous learning
Data Science Intern Aug 2023 – Present
Standard Bank (Remote)
 Integrated business understanding, data preparation, and advanced modeling 
techniques to execute a machine learning project during Data Science Internship 
at Standard Bank.
 Evinced keen grasp of data understanding and evaluation, resulting in strategic 
development and execution of machine learning project that contributed to 
company's digital transformation goals.
 Pioneered rigorous approach encompassing data preparation, modeling, and 
evaluation to achieve tangible outcomes in machine learning project, enhancing 
organization's analytical capabilities and data-driven decision-making processes.
Data Science Intern Jul 2023 – Present
British Airways (Remote)
 Overhauled efficient web scraping and analysis, leveraging data-driven insights 
to inform strategic decision-making as part of machine learning project during 
British Airways Data Science Internship.
 Trailblazed exploratory data analysis and predictive modeling efforts, producing 
actionable insights that guided decision-making and contributed to completion 
of machine learning projects at British Airways.
 Innovated a natural language processing (NLP) project, demonstrating 
advanced skills in data manipulation, analysis, and project management during 
British Airways Data Science Internship.
Data Science Intern Feb 2023 – Jul 2023
Data Glacier (Remote)
 Demonstrated expertise in business understanding, data understanding, and 
data preparation, culminating in execution of comprehensive data manipulation 
and analysis during Data Glacier internship.
 Bolstered modeling, evaluation, and model selection, contributing to 
development of effective machine-learning projects that harnessed advanced 
techniques for actionable insights.
 Ameliorated version control (Git) and executed model deployment with Heroku, 
ensuring seamless collaboration and efficient deployment of machine learning 
models during Data Glacier internship