Sandra Kimiring

Background

About Sandra Kimiring

I’m Sandra Kimiring, a data scientist and analyst passionate about transforming complex data into actionable insights that drive real-world decisions. My journey began with a curiosity about numbers, patterns, and trends, which has since grown into a dedicated pursuit of excellence in data science and machine learning. Recently, I’ve taken on virtual assistant work to develop an all-rounded approach to problem-solving, blending analytical skills with the versatility and precision required to support diverse projects and clients. My experience spans financial analysis, retail optimization, and predictive modeling, where I focus on solutions that don’t just analyze but tell a story and forecast outcomes. As a virtual assistant, I apply the same precision and attention to detail to enhance productivity, manage workflows, and support teams with clarity and accuracy. Key Projects Here’s how I’ve added value to my data projects: M-Pesa Financial Data Analysis (Power BI): Analyzed transaction data to reveal spending patterns and financial trends, giving users a clear picture of where their money goes. Market Analysis with Python (Mastercard & Visa): Explored stock market trends to provide insights into price fluctuations and investment opportunities, translating data into clear visual stories. Netflix Trends Dashboard (Tableau): Developed a Tableau dashboard to visualize content trends and user preferences on Netflix, using data storytelling to guide strategic decision-making. Housing Price Prediction (Machine Learning): Built a predictive model for California housing prices, using machine learning to bring accuracy to market forecasts. I’m always open to connecting with like-minded professionals, mentors, and potential collaborators. Whether you’re looking for a data scientist who can tell compelling stories through data or a virtual assistant who supports operations with precision, I’d love to connect. Let’s talk data, innovation, and creating impact!