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Copywriting
Data Analysis
Data Processing
Python
Translation
4.8
(1 reviews)
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$10 USD / hour
Flag of PSFlag of PS
$10 USD / hour
It's currently 8:16 am here
Joined November 6, 2016
0 Recommendations

Nader S.

@Engneernader

4.8
(1 reviews)
4.8
(1 reviews)
0.8
0.8
$10 USD / hour
Flag of PSFlag of PS
$10 USD / hour
100%
Jobs Completed
100%
On Budget
100%
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Repeat Hire Rate

Python Developer

I am Data Scientist, I have 2 years of experience in Machine learning and data analysis. My target is to exceed client expectations and ensure they are 100% satisfied. I look forward to working with my clients to help reach their business goals. I am always focused on what I provide to clients and always recheck my code quality and also focused about good results. I am extremely passionate about solving problems in the following domains: • Libraries: (Numpy,Pandas,matplotlib) • And Machine learning algorithms: (KNN,PCA,LDA,Random forest,k-means) I did various projects in this field: • Prediction • Classification • Data Analysis • Data exploration/visualization • Object Detection/Recognition • Tkinter GUI • Supervised and Unsupervised Learning I'm very Fast Response and ability to learn new field . I am working as individual and I can be team player, I also have full stack development experience working with customers worldwide.
Freelancer
Data Analysts
Palestinian Territory

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Portfolio Items

In this project, I trained the machine on two types of plates(clean and dirty), made the machine recognize new dishes and classify them into two types.
Clean and Dirty classification plate recognition.
In this project, I trained the machine on two types of plates(clean and dirty), made the machine recognize new dishes and classify them into two types.
Clean and Dirty classification plate recognition.
In this project, I trained the machine on two types of plates(clean and dirty), made the machine recognize new dishes and classify them into two types.
Clean and Dirty classification plate recognition.
In this project, I trained the machine on two types of plates(clean and dirty), made the machine recognize new dishes and classify them into two types.
Clean and Dirty classification plate recognition.
In this project, I trained the machine on two types of plates(clean and dirty), made the machine recognize new dishes and classify them into two types.
Clean and Dirty classification plate recognition.
In this project, I trained the machine on two types of plates(clean and dirty), made the machine recognize new dishes and classify them into two types.
Clean and Dirty classification plate recognition.
In this project, I trained the machine on two types of plates(clean and dirty), made the machine recognize new dishes and classify them into two types.
Clean and Dirty classification plate recognition.
COVID-19 has infected more than 10,000 people in South Korea.
KCDC (Korea Centers for Disease Control & Prevention) Announced the information of COVID-19 quickly and transparently.
I analyzed and visualized the data using various data mining or visualization techniques.
I maked a structured dataset that can be used  in the report materials of KCDC and local governments.
Analyse visualized dataset of Covid-19 in South Korea.
COVID-19 has infected more than 10,000 people in South Korea.
KCDC (Korea Centers for Disease Control & Prevention) Announced the information of COVID-19 quickly and transparently.
I analyzed and visualized the data using various data mining or visualization techniques.
I maked a structured dataset that can be used  in the report materials of KCDC and local governments.
Analyse visualized dataset of Covid-19 in South Korea.
COVID-19 has infected more than 10,000 people in South Korea.
KCDC (Korea Centers for Disease Control & Prevention) Announced the information of COVID-19 quickly and transparently.
I analyzed and visualized the data using various data mining or visualization techniques.
I maked a structured dataset that can be used  in the report materials of KCDC and local governments.
Analyse visualized dataset of Covid-19 in South Korea.
COVID-19 has infected more than 10,000 people in South Korea.
KCDC (Korea Centers for Disease Control & Prevention) Announced the information of COVID-19 quickly and transparently.
I analyzed and visualized the data using various data mining or visualization techniques.
I maked a structured dataset that can be used  in the report materials of KCDC and local governments.
Analyse visualized dataset of Covid-19 in South Korea.
COVID-19 has infected more than 10,000 people in South Korea.
KCDC (Korea Centers for Disease Control & Prevention) Announced the information of COVID-19 quickly and transparently.
I analyzed and visualized the data using various data mining or visualization techniques.
I maked a structured dataset that can be used  in the report materials of KCDC and local governments.
Analyse visualized dataset of Covid-19 in South Korea.
COVID-19 has infected more than 10,000 people in South Korea.
KCDC (Korea Centers for Disease Control & Prevention) Announced the information of COVID-19 quickly and transparently.
I analyzed and visualized the data using various data mining or visualization techniques.
I maked a structured dataset that can be used  in the report materials of KCDC and local governments.
Analyse visualized dataset of Covid-19 in South Korea.
COVID-19 has infected more than 10,000 people in South Korea.
KCDC (Korea Centers for Disease Control & Prevention) Announced the information of COVID-19 quickly and transparently.
I analyzed and visualized the data using various data mining or visualization techniques.
I maked a structured dataset that can be used  in the report materials of KCDC and local governments.
Analyse visualized dataset of Covid-19 in South Korea.
COVID-19 has infected more than 10,000 people in South Korea.
KCDC (Korea Centers for Disease Control & Prevention) Announced the information of COVID-19 quickly and transparently.
I analyzed and visualized the data using various data mining or visualization techniques.
I maked a structured dataset that can be used  in the report materials of KCDC and local governments.
Analyse visualized dataset of Covid-19 in South Korea.
COVID-19 has infected more than 10,000 people in South Korea.
KCDC (Korea Centers for Disease Control & Prevention) Announced the information of COVID-19 quickly and transparently.
I analyzed and visualized the data using various data mining or visualization techniques.
I maked a structured dataset that can be used  in the report materials of KCDC and local governments.
Analyse visualized dataset of Covid-19 in South Korea.

Reviews

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Showing 1 - 1 out of 1 reviews
Filter reviews by: 4.8
$25.00 USD
thank you nader looking to work with you again
Security Systems
Data Analysis
A
Flag of SA Lena A. @aljehanilena
1 month ago

Experience

Data Analysis

Islamic university
Jan 2020 - Nov 2020 (10 months, 1 day)
I have obtained training at the Islamic University in the field of data analysis and data science and then worked through the university projects in this field.

Education

BA

Palestinian Territory 2016 - 2019
(3 years)

Qualifications

Data science , Data Analysis

Islamic university
2020
I have received training at the Islamic University in the field of data analysis and data science.

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Log in to discuss any details over chat.

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Top Skills

Data Analysis
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Python
Translation
Data Processing
Data Entry

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