Data Scientist / ML Engineer

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ID : 1439

Education level : Undergraduate

Work experience level : Beginner- (internship- 1 year experience)

Work experience in total : Years

Job type : Online

Job time : Maandelijks

Last date of registration :

2022-12-31

I'm a computer engineering student ( GPA 3.28 ) with around 2 years of experience in data science & analysis project work and I’m looking to get my first job as a data analyst / ’ML Engineer

Former AI intern - Orange Digital Center - (octomber 2022)

Former AI intern - ITI - (september 2022)

Python
SQL
R
Numpy
pandas
seaborn
matplotlib
sklearn
plotly
Probability and statistics [descriptive & inferential ]
Mathematics [ Linear Algebra & Multivariate Calculus ]
Machine learning [ supervised & unsupervised ]
Data Visualization [ Power bi & Tableau ]
Web Scraping [ Beautiful Soup & Selenium ]
Tools [ Jupyter & Colab & Git and Github }
Aware of Data Warehouse , Data Mining
Aware of Deep Learning
- DNNs
- CNNs
- RNNs
- GANs
Aware of NLP Techniques
- TF-IDF
- BOW
- Tokenization
- Stemming

Storytelling skills
Critical thinking to make analysis
Communication and presentation skills

Courses & certificates

Udacity nanodegrees
- Data Analysis Challenger Track
- FWD Udacity o Data Analysis Professional Track
- FWD Udacity o Data Analysis Advanced Track
- FWD Udacity o Machine Learning Fundamental
- Bertelsemann Scholarship
Other platform
- Database foundation Mahara tech
- Mahara tech o Intro to Deep Learning Mahara tech
- Machine learning form A to Z Udemy
Volunteering experience & activities
- GDSC Al - azhar (Carunt)
  - Member in Ml committee - 2021
  - Vice Head data science committee - 2022
    - Preparing Tasks for sessions
    - Typing posts related in sessions
    - Lectured 60+ enthusiasts about DS Lectures
- Az scencs (Carunt)
  - Vice head machine learning committee - 2022
    - preparing slides ND tasks for sessions

Python, SQL, R, Probability and statistics [descriptive & inferential], Mathematics [Linear Algebra, Multivariate Calculus], Machine learning [supervised & unsupervised], Data Visualization [Power bi, Tableau], Web Scraping [Beautiful Soup & Selenium], Tools [Jupyter, Colab, Git, Github], Data Warehouse, Data Mining, Deep Learning, NLP Techniques

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