Fathima Amna
@fathimaamna
Aspiring data scientist with expertise in machine learning and analytics.
What I'm looking for
I'm a passionate data science student at General Sir John Kotelawala Defence University, where I am honing my skills in programming, machine learning, and data analytics. My academic journey has equipped me with a solid foundation in Python, R, and SQL, complemented by hands-on experience in various technical fields.
Throughout my studies, I have successfully completed several impactful projects, including an AI Policy Summarizer and Generator, which enhances policy analysis through AI-driven insights. I also developed a Travel Request Automation System to streamline operational efficiency and a Software Engineer Salary Analysis App that provides predictive insights using decision tree regression. My commitment to leveraging data for meaningful outcomes is evident in my work on child poverty analysis and waste segregation models.
Experience
Work history, roles, and key accomplishments
Travel Request Automation System
General Sir John Kotelawala Defence University
Jan 2025 - Present (5 months)
Designed and developed a Travel Request Application using Microsoft Power Apps and Power Automate. Enhanced operational efficiency by automating approvals, reducing processing time, and ensuring real-time notifications.
AI Policy Summarizer and Generator
General Sir John Kotelawala Defence University
Jan 2025 - Present (5 months)
Developed a local web application for policy summarization and generation using a fine-tuned generative AI model. Enhanced policy analysis efficiency, automated document processing, and improved decision-making with AI-driven insights.
Software Engineer Salary Analysis App
General Sir John Kotelawala Defence University
Jan 2025 - Present (5 months)
Designed and deployed a web application in R for Software Engineer salary analysis using Decision Tree regression. Provided predictive insights and interactive data visualizations.
Child Well-Being Monitor
General Sir John Kotelawala Defence University
Jan 2024 - Present (1 year 5 months)
Developed a comprehensive reporting tool using Microsoft Fabric, Power BI, and Azure to analyze child poverty in India and Ethiopia. Aided policy development and child welfare interventions through data-driven insights.
Market Basket Analysis Using Association Rules
General Sir John Kotelawala Defence University
Jan 2024 - Present (1 year 5 months)
Applied Market Basket Analysis with association rules to uncover purchasing patterns in a grocery store dataset. Identified frequent item sets, evaluated rule confidence and lift, and optimized model performance for enhanced business insights.
Clustering Basketball Players Performance
General Sir John Kotelawala Defence University
Jan 2024 - Present (1 year 5 months)
Clustered NBA players based on performance metrics using KMeans to identify playing styles and efficiency patterns. Utilized Python for data processing, SQL Server for management, and Power BI for interactive visualizations, revealing key player groups and trends.
CNN Model for Waste Segregation
General Sir John Kotelawala Defence University
Jan 2024 - Present (1 year 5 months)
Developed a CNN model for automated waste classification, enhancing disposal efficiency and environmental sustainability. Trained and fine-tuned the model using Python, improving accuracy in waste segregation and contributing to smarter waste management.
Education
Degrees, certifications, and relevant coursework
General Sir John Kotelawala Defence University
Bachelor of Science, Data Science
Activities and societies: Winner of Data Odyssey 2023 and 2024, AI and Data Science Club, KDU. Published abstracts on 'Clustering Analysis of Performance Differences Between Veteran and Rookie Basketball Players' and 'Integrating AI System for Urban Waste Segregation and Disaster Mitigation' in the Handbook of the KDU International Research Conference 2024.
Currently pursuing a Bachelor of Science in Data Science. The curriculum covers various technical fields including Machine Learning, Data Engineering, Data Visualization, Data Analytics, and Data Science. Relevant coursework includes Python for Data, Deep Learning, SQL and Database Management, Predictive Analytics, NLP, Cloud Computing for Science, Machine Learning, Computer Vision, Data Mining, a
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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