Abeer Wafa

Abeer Wafa

Data Scientist
Egypt

About Me

I am very interested and passionate about the field of the Data Science and Deep Learning so, I am seeking To enhance professional breadth through academic field and then getting a job in the Data Science field and Deep …

Experience

Data Scientist

self employment
Feb 2024 - Present · 2 years 5 months

I am data scientist , I build models especially in deep learning from scratch after preprocessing and organizing the data . Most of my work in unstructured data such as images, text , and video . and also with structured data

Deep Learning Instructor

Google Developer student clubs – DSC Damanhour university

Teach 30 students deep learning concepts especially NLP
Give students tasks and projects
Review students' work

Responsible for Data Science part in the graduation project

Our graduation project

Responsible for the data and modeling part
Applied three deep learning models from scratch
Reached 99.45% testing accuracy for Alzheimer disease detection
Reached 99.6% accuracy for cardiomegaly disease detection
Reached 99.20% accuracy for gastrointestinal cancer detection

Data Analyst Trainee

ITI Tech_Leaps (Online)

Trained for 4 months in Data Analyst with more than one tool
Learned Data Analyst with R, Python, Tableau, and Microsoft Office Excel
Applied a final project for each tool
Projects were reviewed by the instructor

Summer Trainee

Posla Company • monofya

Completed summer training for 6 weeks
Participated in lectures
Learned the marketing process in the company
Learned how to introduce yourself
Learned how to improve social media

Summer Trainee

ITI • Mansoura

Completed summer training for one month in Computer Vision track
Learned the basics of computer vision
Learned components of camera
Learned filters
Learned image processing
Learned machine learning
Learned deep learning
Learned neural networks
Applied a final project for face detection, eyes detection, and smile detection when connected with the camera

Rotational Internship

The sparks foundation • Online

Completed Data Science and Business Analytics Internship for one month
Made 5 projects in different parts
Worked on data analyst tasks
Worked on machine learning using supervised and unsupervised learning
Worked on deep learning through neural networks and NLP
Reviewed evaluation feedback
Learned how to market projects

Data Science Trainee

Google Developer student clubs – DSC Damanhour university

Completed training for 6 months in Data Science track from the beginning
Learned Python and its libraries
Learned data understanding
Learned data cleaning
Learned data visualization with Plotly, Seaborn, and others
Made a project
Learned modeling
Learned machine learning using supervised and unsupervised learning
Learned deep learning
Made a graduation project in Breast cancer with 100% success rate

Machine Learning Cross_skilling

Fwd_MCIT • Udacity (Online)

Completed training for 1 month in machine learning supervised and unsupervised
Followed by a mentor every week
Made a graduation project reviewed by Udacity

Machine Learning Exploration

Google developer student clubs

Solved Qwiklabs in machine learning concepts
Attended sessions of machine learning topics

Multi_OMICS Data analysis

CCHE_57357

Learned data analysis with R and Python and their packages
Learned how to deal with biological data
Learned how to understand biological data
Analyzed biological data
Made modeling
Applied the work practically with more than one instructor

Skills

Data Scraping Data Models Data Science Machine Learning Algorithms Deep Learning Natural Language Processing Critical Thinking Problem Solving Communication Teamwork Cross-cultural collaboration Research Digital Fluency Professionalism Ethical responsibility Python Tableau Microsoft Excel Plotly Seaborn Machine Learning Computer Vision Image Processing Neural Networks Data Analysis Data Cleaning Data Visualization Data Modeling Supervised Learning Unsupervised Learning RNN LSTM GRU
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