1
1
Pakistan
1 year of experience
With a Bachelor of Engineering degree in Computer Systems Engineering from Mehran University of Engineering and Technology, I have a strong foundation in the field of data science and analysis. My mantra is simple yet powerful: 'Data is everywhere—make it work for you.' Currently, I work as a AI Engineer at SAINCUBE, Lyceumerce, where I perform exploratory data analysis on large datasets to uncover insights and patterns that can drive strategic decision-making. I also utilize machine learning and deep learning to automate processes and enhance efficiency. In addition, I am a Data Scientist & Big Data Analyst for Fiverr, where I offer my services to various clients across different domains and industries. I have successfully navigated diverse datasets, ranging from business and economic data to social media and Google Play Store data, encompassing both structured and unstructured information. I have also published a paper on using image processing and Python to detect bacteria in water samples, demonstrating my domain expertise and innovation. I am proficient in tools such as Tableau, PowerBI, and Python, and I am always eager to learn new skills and technologies to enhance my data analysis capabilities.
CareNavigator is an interactive healthcare assistant web application built using Streamlit. It leverages AI through the Falcon-180B model to evaluate user symptoms, provide guidance on potential conditions, and recommend the appropriate specialists for further evaluation. The system begins with a comprehensive prompt outlining various diseases, symptoms, and relevant specialists. Key features of CareNavigator include: User Symptom Input: Users can input their symptoms through a chat interface. The AI processes these inputs and responds with potential conditions and specialist recommendations. Location Services: The application utilizes geolocation to determine the user's current location. Nearby Hospitals: By querying the Overpass API, CareNavigator retrieves a list of nearby hospitals and displays them on an interactive Folium map. Interactive Map: Users can view their location and nearby hospitals, marked with distinct icons for easy identification.