Manan Rasool

Experienced data scientist skilled in efficiently gathering, cleaning, and organizing data to support technical and non-technical teams. Advanced knowledge of statistical and analytical techniques enables valuable insight extraction from complex datasets. Recognized for exceptional organizational skills, motivation, and a diligent work ethic. An extensive background in machine learning enhances the ability to develop innovative solutions and drive data-driven decision-making.

COVID-19 Outbreak Cases and Healthcare Database:

• Publication: Scopus-indexed, https://ieeexplore.ieee.org/document/9445298
• Abstract: This paper details the development and deployment of a coronavirus tracker website integrated with a hospital management system. The research highlights the critical role of digital tools in optimizing healthcare administration, improving patient care, and streamlining data management during the pandemic. By leveraging web development technologies and healthcare IT systems, this paper underscores expertise in creating impactful solutions for urgent healthcare needs.

An Automatic Method to Predict the Sales of Fruits and Vegetables:

• Publication: Reviewed and accepted [Journal of Computers and Education].
• Abstract: Focused on the economic impact of predictive analytics in agriculture, this paper introduces a machine learning model designed to forecast apple sales based on variables such as climate conditions and apple varieties. The study demonstrates advanced skills in machine learning, data analysis, and economic impact assessment, offering valuable insights into improving sales forecasting accuracy and supporting agricultural stakeholders.

A Survey on WIFI 6:

• Publication: Accepted [Journal of Network and Computer Applications].
• Abstract: This comprehensive review covers the advancements in Wi-Fi 6 technology, emphasizing its enhanced bandwidth utilization and potential to revolutionize IoT and home automation. The paper positions the author as a thought leader in network technologies, showcasing an in-depth understanding of emerging trends in connectivity and their future implications.

• Universal Healthcare and Database: Developed a hospital management system to improve patient care by automating patient information collection, analysis, and retrieval. Created a COVID Tracker website and presented on hospital outpatient service.
• Exploratory Data Analysis of Hass Avocado Dataset: Conducted exploratory data analysis on avocado sales data in the USA, providing insights and predictions for the market. This project highlights expertise in data science, specifically in exploratory data analysis and sales prediction.
• Apple Sales Prediction of Kashmir using Machine Learning: Developed and evaluated machine learning models using Decision Tree, Random Forest, and K-Nearest Neighbor, achieving up to 97.3% accuracy with feature selection techniques like PCA and RFE.