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KEŞFEDİN
Computer Science
Machine Learning (ML)
Python
R Programming Language
Statistical Analysis
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Kullanıcı Avatarı
$6 USD / saat
 GREECE bayrağı
larisa, greece
$6 USD / saat
Şu anda burada saat 11:55 ÖS
Şubat 28, 2019 tarihinde katıldı
0 Tavsiye

Marios K.

@MariosKaratiso

 4,2 (10 değerlendirme)
4,0
4,0
87%
87%
$6 USD / saat
 GREECE bayrağı
larisa, greece
$6 USD / saat
%100
Tamamlanmış İş
%79
Bütçe Dahilinde
%79
Zamanında
%14
Tekrar İşe Alınma Oranı

Software Engineer, Machine Learning

I am Marios Karatisoglou, a Machine Learning engineer with a Bachelor degree in Computer Science. My experience involves working on classification/regression problems using Python, R and other state-of-the-art environments (e.g. Weka). Since in many occasions my job is to develop automation scripts, I've become very fluent with scripting languages, especially Python. For more information about me do not hesitate to contact me and ask anything, I am user friendly :)
Freelancer Python Developers Greece
Python Developers freelancerlarından Greece içinden olanlarının tümünü görün.

Marios K. ile işiniz hakkında iletişime geçin

Detayları sohbet üzerinden tartışmak için giriş yapın.

Portföy

4848549
System log Data Analysis of devices in local network using the Elastic Stack. Gathering all log messages from devices in local network (routers, switches, servers, using Logstash) Analyzing categorizing and storing log data based on its significance (using Elastic Search) Visualizing the data (via Kibana)
Data Scientist - Syslog Analysis with ELK
4918963
Problem solution environment with a Web Interface (Django). A user gives a csv dataset and selects the target for the prediction. Thirty predictive models are trained on this specific dataset, and can be later used to make predictions on future data. Many other useful features.
AI Agents for Prediction
Problem solution environment with a Web Interface (Django). A user gives a csv dataset and selects the target for the prediction. Thirty predictive models are trained on this specific dataset, and can be later used to make predictions on future data. Many other useful features.
AI Agents for Prediction
Problem solution environment with a Web Interface (Django). A user gives a csv dataset and selects the target for the prediction. Thirty predictive models are trained on this specific dataset, and can be later used to make predictions on future data. Many other useful features.
AI Agents for Prediction
Problem solution environment with a Web Interface (Django). A user gives a csv dataset and selects the target for the prediction. Thirty predictive models are trained on this specific dataset, and can be later used to make predictions on future data. Many other useful features.
AI Agents for Prediction
Problem solution environment with a Web Interface (Django). A user gives a csv dataset and selects the target for the prediction. Thirty predictive models are trained on this specific dataset, and can be later used to make predictions on future data. Many other useful features.
AI Agents for Prediction
Problem solution environment with a Web Interface (Django). A user gives a csv dataset and selects the target for the prediction. Thirty predictive models are trained on this specific dataset, and can be later used to make predictions on future data. Many other useful features.
AI Agents for Prediction
4918961
Thorough analysis of the most common cyber attacks and discover what are the main characteristics of each one. Predictive analysis with Python and machine learning, aiming at predicting a possible cyber attack before it causes any damage. Visualizing the impacts of each attack with Power BI software.
Cyber Attack Statistical and Predictive Analysis
4848549
System log Data Analysis of devices in local network using the Elastic Stack. Gathering all log messages from devices in local network (routers, switches, servers, using Logstash) Analyzing categorizing and storing log data based on its significance (using Elastic Search) Visualizing the data (via Kibana)
Data Scientist - Syslog Analysis with ELK
4918963
Problem solution environment with a Web Interface (Django). A user gives a csv dataset and selects the target for the prediction. Thirty predictive models are trained on this specific dataset, and can be later used to make predictions on future data. Many other useful features.
AI Agents for Prediction
Problem solution environment with a Web Interface (Django). A user gives a csv dataset and selects the target for the prediction. Thirty predictive models are trained on this specific dataset, and can be later used to make predictions on future data. Many other useful features.
AI Agents for Prediction
Problem solution environment with a Web Interface (Django). A user gives a csv dataset and selects the target for the prediction. Thirty predictive models are trained on this specific dataset, and can be later used to make predictions on future data. Many other useful features.
AI Agents for Prediction
Problem solution environment with a Web Interface (Django). A user gives a csv dataset and selects the target for the prediction. Thirty predictive models are trained on this specific dataset, and can be later used to make predictions on future data. Many other useful features.
AI Agents for Prediction
Problem solution environment with a Web Interface (Django). A user gives a csv dataset and selects the target for the prediction. Thirty predictive models are trained on this specific dataset, and can be later used to make predictions on future data. Many other useful features.
AI Agents for Prediction
Problem solution environment with a Web Interface (Django). A user gives a csv dataset and selects the target for the prediction. Thirty predictive models are trained on this specific dataset, and can be later used to make predictions on future data. Many other useful features.
AI Agents for Prediction
4918961
Thorough analysis of the most common cyber attacks and discover what are the main characteristics of each one. Predictive analysis with Python and machine learning, aiming at predicting a possible cyber attack before it causes any damage. Visualizing the impacts of each attack with Power BI software.
Cyber Attack Statistical and Predictive Analysis

Değerlendirmeler

Değişiklikler kaydedildi
10 değerlendirme içinden 1 - 5 arasındakiler gösteriliyor
 Değerlendirmeleri filtreleme kriteri:
1,0
$140,00 USD
Project 18915206 has been deleted
He first agree then demand more money at mid of the task>Beware of him
R
Closed User
@RushService
•
5 yıl önce
5,0
$25,00 USD
Credit card fraud detection using predictive analysis
Great command over languages. Did complete his work well with in time. I would recommend him for others as well. Good Luck Mate.
Python
SQL
Machine Learning (ML)
Kullanıcı Avatarı
bayrağı Persie
@Persie2108
•
5 yıl önce
5,0
₹999,00 INR
MACHINE LEARNING PROJECT IN PYTHON USING JUPYTER NOTEBOOK
it was good experience
Python
Machine Learning (ML)
Kullanıcı Avatarı
bayrağı Ashish C.
@ashish98500
•
5 yıl önce
5,0
₹7.000,00 INR
ML Analyze Project
Really a cool person to work with. So happy with the deliverable too. Surely will work with him again.
Python
Machine Learning (ML)
Data Mining
R Programming Language
Statistical Analysis
H
bayrağı Naveen A.
@HumanData
•
5 yıl önce
5,0
$95,00 USD
Theory of Computation Project using Jupyter Notebook/ Python -- 2
great job. Will rehire him.
Python
Software Architecture
Computer Science
A
Closed User
@aliakber1234
•
5 yıl önce

Deneyim

Data Scientist

Algosystems S.A.
Haz 2018 - Ağu 2018 (2 ay, 1 gün)
System log Data Analysis of devices in local network. Gathering all log messages from devices in local network (routers, switches, servers). Analyzing categorizing and storing log data based on its significance and visualizing the data (Using Elastic Stack aka ELK). Results: Monitoring of local area network became handy via useful visualizations, helping network security engineers prevent network attacks and detect device malfunctions rapidly.

Eğitim

BSc in Computer Engineering

Panepistimio Thesalias, Greece 2014 - 2019
(5 yıl)

Nitelikler

Certificate of Proficiency in English Language

University of Michigan
2010
C2 level certificate in English Language.

Marios K. ile işiniz hakkında iletişime geçin

Detayları sohbet üzerinden tartışmak için giriş yapın.

Doğrulamalar

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Kimlik Onaylı
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Facebook Bağlantılı

Önde Gelen Beceriler

Python 12
Machine Learning (ML) 12
Statistical Analysis 4
R Programming Language 3
Computer Science 3

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