Ameera Hassan
Sharjah,,UAE
Summary
Aspiring data scientist with strong analytical skills and programming expertise in Python, SQL, and R. Experienced in developing predictive models and data visualisations to support informed decision-making. Passionate about solving complex data challenges and enhancing business performance through actionable insights.
Overview
4
4
years of professional experience
Work history
Data Science Intern
EHS, UAE
06.2025 - 10.2025
- Examined and interpreted 50,000+ healthcare and operational records to uncover performance gaps, anomalies, and process inefficiencies supporting data-driven decision-making.
- Designed and optimized interactive Power BI dashboards to translate complex datasets into clear insights, enhancing reporting speed and stakeholder accessibility by 40%.
- Executed data cleansing, validation, and transformation using Python, SQL, and Excel, strengthening data integrity and improving analytical accuracy by 30%.
Data Analytics Assistant
RTA Dubai, UAE
06.2021 - 01.2022
- Assessed ridership patterns, peak-hour demand, and service performance metrics across bus and metro networks, supporting planning accuracy improvements of approximately 20%.
- Contributed analytical support to route optimization, scheduling, and capacity planning, driving service efficiency and resource utilization gains of around 15%.
- Standardized and prepared large-scale public transportation datasets, ensuring consistency, reliability, and readiness for downstream analysis.
Education
B.S - Computer Engineering, Data Science & AI
Ajman University
Ajman, UAE 01.2026 -
Skills
- Programming languages: Python, SQL, C, C# and HTML/CSS
- Data analytics tools: Power BI, Excel, pandas, NumPy, Matplotlib and Plotly
- Data skills: Data cleaning, visualization and dashboard development
Websites
PROJECTS
Thimar | An AI-driven Solution for Hydroponic Farming
- Designed and developed a mobile application for hydroponic farming that integrates real-time monitoring via sensors and deep learning to assess plant health.
- Implemented features for detecting nutrient imbalances and identifying plant diseases, providing actionable recommendations to enhance crop growth and support sustainable agriculture.
Hewayati | Recommendation System for Part-Time Jobs
- Built a recommendation System that gathers and analyzes user behavior to deliver personalized part-time job suggestions using real-time analytics and machine learning.
- Performed data cleaning and feature extraction from user inputs to enhance the predictive performance of the recommendation system.
Accomplishments
- Collaborated on EHS-SAS (Smart Appointment System), a predictive model to reduce outpatient no-shows.
- Worked with 900,000+ real patient appointment records from healthcare centers across the UAE.
- Built machine learning models for risk prediction and real-time forecasting to improve clinic efficiency and patient flow.
- Won first place in a Coding Battle competition involving mathematical challenges, game development, and puzzles.
- Demonstrated exceptional problem-solving and technical skills using Python.
2nd Place in EHS Data Hackathon | Dubai, UAE July 2025
1st Place in Coding Battle | Ajman University October 2024
Timeline
B.S - Computer Engineering, Data Science & AI
Ajman University
01.2026 -
Data Science Intern
EHS, UAE
06.2025 - 10.2025
Data Analytics Assistant
RTA Dubai, UAE
06.2021 - 01.2022