About Me

Hello and welcome to my portfolio website!

I am Saima, a data analyst with a passion for uncovering hidden insights and transforming them into actionable strategies. My unique blend of skills, honed through a diverse academic background spanning Biological Sciences, English Literature, and Multimedia Computing, allows me to approach data with a fresh perspective. I'm proficient in a variety of programming languages and data analysis tools, including Python, SQL, R, and Tableau. I'm also experienced in machine learning techniques, such as Sci-kit Learn, predictive analytics, sentiment analysis, regression models, clustering, Random Forest, Decision Trees, and NLP. I am a highly analytical and detail-oriented problem-solver with a proven ability to communicate complex data insights to both technical and non-technical audiences. I am also a strong collaborator and team player, with a passion for using data to drive positive change.

In my free time, I enjoy reading fiction and tech blogs, experiment with new recipes and play badminton.

I’m a strong advocate for data literacy and believe that everyone should have the opportunity to learn how to use data to make informed decisions. Whether through dashboards, predictive models, or storytelling, I aim to make data approachable, meaningful, and actionable. I’m especially passionate about using data to support better decision-making in business, healthcare, and education—sectors where data has the power to drive real, human-centered impact.

My Story

My journey into data analysis began with a fascination for the power of data to tell stories and solve problems. I was particularly drawn to the ability of data to reveal hidden patterns and trends, and to provide insights that could be used to make better decisions.

However, this journey was anything but traditional! It started with a fascination for sciences, an appreciation for storytelling in literature, and a passion for problem-solving in computing. I have written about this unconventional journey in a LinkedIn blog post, where I reflect on the turning points that brought me here.

Early on, I thrived in academia, earning degrees in Biological Sciences and English Literature, which sharpened my research and analytical skills. Later, intrigued by the ubiquitous nature of technology, I explored Multimedia Computing which provided me with a strong foundation in programming (Java, PHP, SQL), data mining, and software design, complemented by creative projects in web development and multimedia systems. Before acquiring my degree in Multimedia Computing, I worked as primary class teacher and teaching assistant in different schools across different countries. This experience not only enhanced my communication and collaboration skills, which allow me to engage effectively with diverse teams and stakeholders, but it also gave me an opportunity to analyse students’ progress and make data-driven decisions without realising!

This rich experience, combined with the specialised training in Data Analytics at LSE which I completed with distinction in November 2024 solidified my path. At LSE, I completed hands-on projects across finance, healthcare, and retail, applying exploratory data analysis, sentiment analysis, predictive analytics, machine learning frameworks (Scikit-learn), and data visualisation tools to real-world datasets.

I blend my technical skills with a creative, storytelling approach to turn raw data into meaningful insights. I’m passionate about working with organisations that value data-driven decision-making and innovative solutions.