As a passionate and results-driven data professional, I bring a strong foundation in data science, software engineering, and problem-solving, underpinned by a completed Diploma in Information & Communication Technology with a specialization in Software Engineering. My expertise spans automation, machine learning, and web scraping, with proficiency in programming languages such as Python and Java. I thrive on leveraging technology to create impactful solutions, streamline processes, and support data-driven decision-making.
During my internship at My Mind Associates, I automated the health screening report generation process, reducing manual effort, minimizing errors, and enhancing overall operational efficiency. This experience involved designing workflows, integrating tools, and delivering high-quality outputs tailored to organizational requirements. I also developed a machine learning model to classify personality traits into Pleasant, Dominant, and Balanced categories, ensuring accuracy and relevance through rigorous data preprocessing, feature engineering, and validation techniques.
In addition, I utilized web scraping techniques in Python to identify potential partnership opportunities. By extracting, structuring, and analyzing data from diverse sources, I provided actionable insights that supported strategic business growth. My technical skills are complemented by a strong ability to adapt, collaborate, and communicate effectively within team environments, ensuring seamless project execution.
With my educational background and real-world experience, I am equipped to tackle complex challenges in data science and software development. My goal is to apply my skills to develop innovative solutions that meet organizational needs and drive meaningful outcomes. I am committed to continuous learning and delivering results that foster efficiency, collaboration, and growth in any professional setting.
We will review the reports from both freelancer and employer to give the best decision. It will take 3-5 business days for reviewing after receiving two reports.