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Abdelrahman Y.
@abdelrahmanyfk
5,0
8
6,4
6,4
100%
Project Manager | Data Scientist | Data Analyst
$25 USD / hora
・
Egypt (5:00 a. m.)
・
Se unió el junio 24, 2015
$25 USD / hora
・
A results-driven Data Analyst and Certified Project Manager (PMP), with extensive experience in delivering data-driven insights and strategic solutions across diverse industries, including business, e-commerce, marketing, construction, oil & gas and education. Combining analytical expertise with project management proficiency, I have successfully executed numerous projects, transforming complex datasets into actionable intelligence that drives business growth and operational efficiency.
Key strengths include:
Advanced data analysis and visualization using tools like Python, SQL, Power BI, and Tableau.
Expertise in developing predictive models, trend analyses, and dashboards to support strategic decision-making.
Proven ability to manage end-to-end project lifecycles, ensuring timely delivery and alignment with business objectives.
Deep understanding of cross-industry workflows and the ability to adapt analytics solutions to unique organizational needs.
As a freelancer, I bring a versatile and collaborative approach to every project, ensuring tailored solutions that meet client expectations and maximize ROI. I am passionate about leveraging data to uncover opportunities, solve complex problems, and contribute to the success of forward-thinking organizations.
Gathering and Analyzing data, using various types of analytics and reporting tools to detect patterns, trends and relationships in data sets.
Stockholm, Sweden
ene, 2023 - Presente
•
1 año, 11 meses
Data Scientist
sept, 2021 - sept, 2022
•
1 año
Everprint
sept, 2021 - sept, 2022
•
1 año
Key Achievements:
- Managed a multicultural team for a Netherlands-based E-commerce company.
- Built an intelligent chatbot and automated customer service system for KPI monitoring and corrective actions.
- Designed a Power BI dashboard to track end-to-end KPIs, including order delivery and returns.
- Integrated marketplaces like Shopify, bol.com, and Odoo for seamless operations.
- Developed machine learning models and provided analytics support across departments.
Eindhoven, Netherlands
sept, 2021 - sept, 2022
•
1 año
Alexandria Shipyard
ene, 2019 - dic, 2019
•
11 meses
Welding Engineer
feb, 2019 - dic, 2019
•
10 meses, 3 días
- Responsible for setting up the sequence welding plans for each process in mega project “Three Navy warships” under supervision of BUREAU VERITAS.
- Responsible for setting up the WPQR & WPS for each individual Process to be approved by BV
- Responsible for selecting the most economical and effective welding process for the desired welding joint in addition to the filler metal.
-Responsible for establishing a training cycle for welders to qualify their skills to be certified by BV & LR.
Piping Engineer
ene, 2019 - feb, 2019
•
1 mes
- Responsible for executing the piping systems for Three Navy warships under supervision of Naval Group & BUREAU VERITAS from the fabrication process to the erecting process.
- Responsible for executing the piping systems 8 Nile Barges for Wadi el Nile for Transportation Company.
- Managing teams of professional pipe fitters and certified welders to achieve effective and smooth operation.
ene, 2019 - dic, 2019
•
11 meses
Educación
Suez Canal University
2013 - 2018
•
5 años
Bachelor of Petroleum Engineering
Egypt
2013 - 2018
•
5 años
Calificaciones
Data Analysis Professional Nano Degree
2020
Udacity
1) Develop programs in Python.
2) Manipulate data using NumPy.
3) Load and process data using Pandas.
4) Use Anaconda to manage your programming environment
5) Investigate a dataset using Python data analysis packages
6) Perform the entire data analysis process on a dataset
7) Gather data from multiple sources in a variety of formats
8) Assess the quality and tidiness of data visually and programmatically
9) Clean data using Python and Pandas
2020
Machine Learning
2020
Stanford University
(i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks).
(ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning).
(iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI)
2020
Python for Everybody Specialization
2020
University of Michigan
Python Fundamentals
Python Data Structure
Using Python to Access web data
Using Database With Python
Capstone: Retrieving, Processing, and Visualizing Data with Python
2020
Certificaciones
AI Training - Freelancer Global Fleet
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