Welcome to my portfolio, where I showcase impactful projects that demonstrate my expertise in data analytics and visualization. From healthcare to other industries, these projects highlight my ability to transform data into actionable insights and drive meaningful change.
These projects demonstrate my proficiency in tools like Python, R, SQL, Excel, and Tableau, showcasing applications in healthcare as well as other sectors such as logistics and customer behavior analysis. Explore how I leverage data-driven strategies to optimize processes, improve outcomes, and drive impactful change.
Explore a diverse range of projects showcasing my expertise in healthcare analytics, business insights, marketing strategies, and operational optimization. This page is regularly updated with new work, but if you have any specific questions or would like to learn more, feel free to get in touch—I’d be happy to connect!
Improving patient care with data-driven insights
Showcasing a project that leverage data analytics to improve patient care, optimize healthcare processes, and enhance operational efficiency. These include analyzing appointment trends, improving scheduling systems, and identifying actionable insights to drive better health outcomes.
Driving strategic decisions for business growth
Highlighting a project that utilize data to optimize business strategies, improve operational KPIs, and support strategic decision-making. These include customer segmentation and performance tracking.
Enhancing customer loyalty with actionable insights
A project showcasing the power of data-driven insights in understanding customer sentiment, optimizing campaigns, and enhancing loyalty programs to drive engagement and growth.
Streamlining processes and reducing costs with analytics
Demonstrating the use of data analytics to streamline processes, optimize delivery routes, and reduce costs. The Project includes fleet management and workflow improvements.
Improving patient care with data-driven insights
This Healthcare Analytics project, undertaken as part of the LSE Data Analytics Career Accelerator, explored NHS appointment trends to uncover insights into missed appointments and scheduling inefficiencies. Using advanced tools like Python and SQL, I analyzed datasets spanning patient demographics, appointment types, and attendance patterns. The analysis revealed critical factors contributing to missed appointments, enabling actionable recommendations to improve scheduling practices and patient engagement.
Key findings included the identification of specific appointment types with higher non-attendance rates and trends across demographic groups. To address these challenges, I developed strategies such as targeted reminders and optimized scheduling windows, which could reduce missed appointments and improve service delivery. This project underscores the impact of data-driven strategies in streamlining healthcare processes and enhancing operational efficiency.
Driving strategic decisions for business growth
As part of the LSE Data Analytics Career Accelerator, I conducted a comprehensive market analysis for 2Market, a fictional global supermarket chain, to uncover insights into customer demographics, purchasing behaviors, product popularity, and marketing channel effectiveness using data from 2012 to 2014.
Key findings included the identification of alcoholic beverages as the top product category and Twitter and Instagram as the most impactful marketing channels. Using tools like Excel and Tableau, I performed data cleaning, exploratory analysis, and visualization, providing actionable recommendations to optimize marketing strategies, product offerings, and customer engagement.
This project highlighted the importance of leveraging data quality and effective visualization to drive business decisions and enhance sales performance.
Enhancing customer loyalty with actionable insights
As part of the LSE Data Analytics Career Accelerator, I conducted a marketing analysis for Turtle Games, a fictional global gaming company, to enhance its loyalty program and marketing strategies.
Using Python, I cleansed and analyzed customer data to identify key trends in spending and loyalty behaviors. Predictive models, including decision trees and regression analysis, revealed income and spending as significant predictors of loyalty points, achieving a 94% R-squared accuracy. Sentiment analysis using VADER and TextBlob provided actionable insights from customer reviews, informing targeted campaigns and product refinements.
This project showcased my ability to transform raw data into strategic recommendations, optimizing customer engagement and marketing ROI.
Streamlining processes and reducing costs with analytics
As part of the LSE Data Analytics Career Accelerator, I collaborated with a team of students for a real employer based project. Due to the confidential nature of the project, the name of the employer has been changed to Altura Logistics. I took a leadership role on the coding element of the project and integrated all results from other workstreams. The main purpose of the project was to optimize fleet operations and reduce delivery costs. Utilizing Python and statistical modeling, we identified inefficiencies in delivery routes, achieving a projected 10% cost reduction. Our team developed a framework to evaluate in-house versus outsourced delivery operations, providing data-driven insights for strategic decision-making. Additionally, we created predictive models to simulate various operational scenarios, supporting strategic planning and future-proofing logistics operations. This project demonstrates my ability to transform raw data into impactful strategies, ensuring operational success while maintaining confidentiality.
Empowering startups with strategic insights and a professional digital presence.
Developed a user-friendly website and created compelling content to establish a professional online presence for St George Health Support. Delivered a comprehensive business plan, including detailed market and competitor analysis, enabling strategic decision-making and positioning the startup for success in the health services sector.
Freelance Project Feedback
Capstone Project Feedback (London School of Economics):
Champion Award for Caring Nomination (Hounslow and Richmond Community Healthcare):
Presentation on Role Transition (London Southbank University)
Welcome to my blog, where I delve into the critical role of data analytics and data management in transforming healthcare services.
Explore my latest articles to stay at the forefront of healthcare innovations and understand how data-driven insights are shaping the future of patient care and operational efficiency.
Whether you're a healthcare professional, administrator, or policy maker, this blog is your essential resource for harnessing the power of data to improve outcomes and streamline processes.
Join me on this journey of discovery and innovation in the realm of healthcare data management and analysis.
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