Kaleena La Berge

I hold a Bachelor of Applied Science (BAS) in Data Science and a Bachelor of Applied Science (BAS) in Business, providing me with a strong interdisciplinary foundation that combines technical expertise with strategic and operational understanding. This dual academic background allows me to approach problems from both analytical and business-driven perspectives, ensuring that data-driven insights are not only accurate but also practical and actionable. In addition to my academic training, I am an aerospace professional, which has further strengthened my ability to operate in high-stakes, precision-driven environments where accuracy, compliance, and critical thinking are essential.

I am proficient in multiple programming languages, including Python, R, C++, Java, and SQL. These skills enable me to work across a wide range of data-related tasks, from data cleaning and preprocessing to statistical modeling, algorithm development, and database management. Python and R have been particularly valuable in performing statistical analysis, data visualization, and machine learning applications, while SQL allows me to efficiently query and manage large datasets. My experience with C++ and Java has also strengthened my understanding of object-oriented programming, performance optimization, and system-level logic.

My technical skill set is supported by a solid background in mathematics, including statistics and calculus. These disciplines have been critical in developing my ability to analyze trends, interpret results, and understand the theoretical foundations behind data models and algorithms. I am comfortable working with probability distributions, hypothesis testing, regression analysis, and optimization concepts, all of which are essential for sound data-driven decision-making.

I also have experience in data annotation, which has given me insight into the importance of high-quality labeled data for training and evaluating machine learning models. This work has reinforced my attention to detail and my understanding of how human judgment impacts AI performance and reliability. In addition, I am highly proficient in Microsoft Office applications such as Word and Excel, using them regularly for documentation, reporting, data analysis, and professional communication.

Overall, my combined background in data science, business, and aerospace has shaped me into a well-rounded professional who values precision, efficiency, and continuous learning. I am comfortable bridging the gap between technical teams and business stakeholders, and I thrive in environments that require both analytical rigor and practical problem-solving. This blend of skills positions me well to contribute meaningfully to data-driven initiatives and complex, real-world projects.