Basem elshafei
Reseach Assistant (Data Science)
Nottingham,United Kingdom
Summary
Meticulous Data Scientist accomplished in compiling, transforming and analyzing complex information through software. Expert in machine learning and large dataset management. Demonstrated success in identifying relationships and building solutions to business problems.
Overview
3
3
years of professional experience
5
5
Certifications
2
2
Languages
Work History
Research Assistant
UNIVERSITY OF NOTTINGHAM
Nottingham
06.2022 - Current
- Working on research project to develop an Elastic manufacturing System that responds to sudden market demands automatically through collecting and analyzing streaming data from shopfloor
- Developing a capacity utilization model for monitored machine performance to transition to a digital factory
- Collecting large datasets from shopfloor for manufacturing analytics and building machine learning model for predictive maintenance
- Responsible for automating the process of capturing KPIs to have a digitized and automated shopfloor
- Collaborate closely with industrial partners to build a digital twin model for OmniFactory
- Building machine learning models to predict future demand in aerospace manufacturing
- Preparing biweekly dashboards on shopfloor utilization rates and presenting to industrial partners
- Disseminate research activity papers/preparation of presentations describing the outcomes of the work.
Data Analyst
07.2021 - 01.2022
- Designing and maintaining data systems for the strategy, performance, and planning department
- Collecting data from the National Student Survey (NSS) to reorganize in a format easily visualized by department
- Using Excel and Tableau to interpret NSS datasets, catching insights, trends, and patterns to improving the university’s performance in student surveys
- Performed sentiment analysis on student’s comments to develop a relationship/correlation of overall satisfaction on organization and management sector
- Developed NLP deep learning model to ingest thousands of student feedback comments to categorize them
- Prepared a report linking dataset trends and observations to showcase performance of school sectors in comparison to one another and how they performed compared to other universities
- Delivering reports to senior team members on course, school, and department level performance
- Supporting senior strategy, performance, and planning team members in establishing actions for improving university teaching and overall satisfaction, based on NSS student comment feedback
- Suggested additional survey questions and developed a student satisfaction questionnaire system to thoroughly monitor newly implemented actions.
Teaching Assistant
BASEM ELSHAFEI
10.2020 - 02.2022
- Leading theoretical and practical coding sessions.
Product Development Engineer
EQUINOV LTD
02.2020 - 06.2020
- Generated ideas for new products to executives and managers and supported developing the production process
- Gained practical experience analyzing data in a start-up environment, as well as presenting to my colleagues from different departments
- Monitored lifecycle of a product from design to prototyping and testing.
Drives and Robotics Sector Intern
ABB
07.2017 - 09.2017
- Developing the control system for robot cells by designing algorithms based on ABB robot YUMI.
Education
MEng - Mechanical Engineering with Sustainable Energy Systems
University of Southampton Southampton
PhD -
University of Nottingham Nottingham, Skłodowska
Skills
Python
Exploratory data analysis
Microsoft Power BI
Tableau
Qualitative analysis
MS Office
Quantitative Analysis
Research and analysis
Data collection and organization
Literature reviews
Research design
Conducting assays
Accomplishments
- Data Science Online Summer-School Imperial College London
- Learned Data Science concepts such as data privacy and ethics
- Prepared, transformed, and cleaned a real-world medical dataset for data analysis
- Developing machine learning models for brain tumour detection
- PHD Summer-School Remote Sensing for Wind Energy Technical University of Denmark (DTU)
- Attended lectures on instrument configuration, signal processing, data analysis and applications of various remotesensing instruments including LIDAR, SODAR and SAR both ground- and satellite-based instruments
- Covered theoretical aspects of scattering and atmospheric boundary-layer characteristics relevant in remote sensingfor wind energy
- Data Analytics Consulting Virtual Internship KPMG Australia
- Participated in the open access King & Wood Mallesons virtual experience program
- Digital Technology Data Analytics Program Virtual Internship General Electric
- Created a dashboard of run chart and KPI tables for storytelling through trends and insights from large datasets.
Certification
Google Cloud Certification: Machine Learning engineer Professional Certificate Google
Timeline
Research Assistant
UNIVERSITY OF NOTTINGHAM
06.2022 - Current
Data Analyst
07.2021 - 01.2022
Teaching Assistant
BASEM ELSHAFEI
10.2020 - 02.2022
Product Development Engineer
EQUINOV LTD
02.2020 - 06.2020
Drives and Robotics Sector Intern
ABB
07.2017 - 09.2017
MEng - Mechanical Engineering with Sustainable Energy Systems
University of Southampton Southampton
PhD -
University of Nottingham Nottingham, Skłodowska