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 8 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

<p>Teach 30 students deep learning concepts especially NLP<br>
Give students tasks and projects<br>
Review students' work</p>

Responsible for Data Science part in the graduation project

Our graduation project

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

Data Analyst Trainee

ITI Tech_Leaps (Online)

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

Summer Trainee

Posla Company • monofya

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

Summer Trainee

ITI • Mansoura

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

Rotational Internship

The sparks foundation • Online

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

Data Science Trainee

Google Developer student clubs – DSC Damanhour university

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

Machine Learning Cross_skilling

Fwd_MCIT • Udacity (Online)

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

Machine Learning Exploration

Google developer student clubs

<p>Solved Qwiklabs in machine learning concepts<br>
Attended sessions of machine learning topics</p>

Multi_OMICS Data analysis

CCHE_57357

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

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
Report this Profile?