👋 Hello, I’m Rimitsu!

I am a data science professional with a solid foundation in actuarial science and a passion for deriving actionable insights from alternative datasets using Python. My journey has taken me from rigorous academic training in actuarial science to a dynamic role where I leverage my analytical skills to process and analyze complex data, ultimately guiding business decisions.

💡 What I Do:

• Data Analysis & Visualization: I transform raw data into compelling visual stories and insights using Python.
• Alternative Dataset Analysis: I specialize in extracting value from diverse and unconventional datasets.
• Excel Mastery: Proficient in harnessing the power of Microsoft Excel for data manipulation and analysis.

📊 Current Role: My primary role revolves around data science, where I focus on analyzing and interpreting complex datasets to uncover trends and patterns that drive strategic decision-making. I use advanced analytical techniques and machine learning models to solve challenging problems and deliver actionable insights.

In addition to my core data science responsibilities, I also support the trading desk by producing daily morning reports that highlight key earnings releases for South African companies and summarize overnight market news. This secondary aspect of my role has deepened my understanding of market dynamics and honed my ability to communicate critical insights to stakeholders.

💼 Professional Highlights:

• End-to-End Project Management: Led a project from data extraction from a SQL database to generating insightful reports.
• Market Dashboard Enhancement: Enhanced a client-facing market dashboard by integrating CSS with Streamlit, ensuring it meets the traders' informational needs.
• Collaborative Problem Solving: Worked through and improved existing code to optimize dashboard functionality.
• LLM Classification Projects: Developed and refined methods for utilizing large language models (LLMs) to classify and clean data.

📚 Continuous Learning: I am actively pursuing actuarial exams, aiming to become a fully qualified actuary. Alongside this, I am expanding my expertise in Natural Language Processing (NLP) to enhance my skill set in the data science field. I am passionate about staying ahead in both the actuarial and data science domains.

🌐 Interests:

• Staying up-to-date with the latest trends in actuarial science and data science.
• Exploring new tools and techniques in data analysis, visualization, and NLP.
• Engaging with the community and sharing knowledge through collaborative projects.