Lama Alshehri
JED-RUH,SAUDI ARABIA
Summary
A data science graduate seeking to utilize my sense of responsibility, dedication, and strong motivation to work in the data analytics field and to benefit from the qualifications and skills that I acquired through my academic studies as well as through my self-learning experience, I'm always seeking to be an efficient and productive member in achieving success.
Overview
1
1
year of professional experience
4
4
years of post-secondary education
1
1
Certification
Work history
Co-op
King Fahad Medical City - IS Department
Riyadh
06.2023 - 08.2023
- Conducted comprehensive data analysis using SQL, Python, and Excel, contributing to actionable insights
- Optimized and maintained databases to enhance efficiency and ensure data integrity
- Developed dynamic dashboards and reports using Power BI, enabling effective data visualization and interpretation.
Trainee
SDAIA Data Science and Artificial Intelligence T5
Riyadh
03.2024 - 06.2024
Applied comprehensive skills gained from SDAIA's AI and data bootcamp in various projects, spanning AI/ML fundamentals, data analytics, SQL, Python programming, machine learning, deep learning, generative AI, computer vision, NLP, and MLOps. Equipped to tackle diverse challenges with expertise and innovation.
Education
Bachelor of Data Science
University Of Jeddah
09.2019 - 01.2024
Specialized track - Fintech and banking
University Of Jeddah
Skills
- Data Cleaning and Preprocessing
- Data Mining
- Programming: Python, R, SQL
- Machine Learning
- Data Visualization: Power BI, Excel, Tableau
- Communication
- Problem Solving
- Adaptability
- Collaboration
- Time Management
Certification
Applied Data Science with Python - University Of Michigan
Databases and SQL for Data Science with Python - IBM
Data Analytics - Google
Languages
Arabic
Native
English
Upper intermediate
Projects
Criminal Identification System Based on Face Recognition
Leveraged PointCloud technology to automate the segmentation of electrical wires and transmission towers, supporting Saudi Arabia's Vision 2030 by contributing to the transformation of cities into smart urban environments and optimizing resource use for sustainable development. Enhanced monitoring efficiency, improved safety by reducing risks and costs of manual inspections, and promoted sustainability.
SpectraSight - Electrical Infrastructure Management with Point Cloud Technology
Leveraged PointNet to automate the segmentation of electrical wires and transmission towers, supporting Saudi Arabia's Vision 2030 by contributing to the transformation of cities into smart urban centers and optimizing resource use for sustainable development. Enhanced monitoring efficiency, improved safety by reducing risks and costs of manual inspections, and promoted sustainability.
Timeline
Trainee
SDAIA Data Science and Artificial Intelligence T5
03.2024 - 06.2024
Co-op
King Fahad Medical City - IS Department
06.2023 - 08.2023
Bachelor of Data Science
University Of Jeddah
09.2019 - 01.2024
Specialized track - Fintech and banking
University Of Jeddah