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Computer Science
Machine Learning (ML)
Python
R Programming Language
Statistical Analysis
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Avatarul utilizatorului
$6 USD/oră
Steagul GREECE
larisa, greece
$6 USD/oră
Momentan, aici e ora 5:39 a.m.
S-a înregistrat pe februarie 28, 2019
0 Recomandări

Marios K.

@MariosKaratiso

 4,2 (10 recenzii)
4,0
4,0
87%
87%
$6 USD/oră
Steagul GREECE
larisa, greece
$6 USD/oră
100 %
Proiecte finalizate
79 %
Conform bugetului
79 %
La timp
14 %
Rata de angajare repetată

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
Vezi toate opțiunile pentru Python Developers din Greece

Discută cu Marios K. despre proiect

Conectează-te pentru a discuta pe chat despre detalii.

Portfoliu

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

Recenzii

Modificările au fost salvate
Se afișează 1 – 5 din 10 recenzii
Filtrează recenziile în funcție de:
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 ani în urmă
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)
Avatarul utilizatorului
Steagul Persie
@Persie2108
•
5 ani în urmă
5,0
₹999,00 INR
MACHINE LEARNING PROJECT IN PYTHON USING JUPYTER NOTEBOOK
it was good experience
Python
Machine Learning (ML)
Avatarul utilizatorului
Steagul Ashish C.
@ashish98500
•
5 ani în urmă
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
Steagul Naveen A.
@HumanData
•
5 ani în urmă
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 ani în urmă

Experiență

Data Scientist

Algosystems S.A.
iun. 2018 - aug. 2018 (2 luni, 1 zi)
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.

Educație

BSc in Computer Engineering

Panepistimio Thesalias, Greece 2014 – 2019
(5 ani)

Calificări

Certificate of Proficiency in English Language

University of Michigan
2010
C2 level certificate in English Language.

Discută cu Marios K. despre proiect

Conectează-te pentru a discuta pe chat despre detalii.

Verificări

Programul Freelancer preferat
Identitate confirmată
Metodă de plată confirmată
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Adresă de e-mail confirmată
Conectat(ă) prin Facebook

Cele mai bune aptitudini

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

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