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ID : 1570
Data Engineer
Education level: Bachelor's degree
Work experience level: Beginner- (internship- 1 year experience)
ID : 1569
Data Scientist
Education level: Bachelor's degree
Work experience level: Intermediate- (2-4 year experience)
ID : 1568
Data Analyst
Education level: Bachelor's degree
Work experience level: Intermediate- (2-4 year experience)
ID : 1416
Data Scientist/ Statistician / Data Analyst
Education level: Bachelor's degree
Work experience level: No experience- (0 experience)
Special Notes :

Reading: M.Sc Data Science, R Programming, Python, Data Analysis, Data Mining, Machine learning, SQL

 

ID : 1415
Software Engineer/ Software Architect
Education level: Diploma
Work experience level: Expert- (more than year 7)
Special Notes :

ASP.Net, C#, VB, Blazor, WC, Javascript, Jquery, Aja, React Native, Redu, React Js, Redux toolkit, HTML, Razor, Interfac,Bootstrap, CSS, .Net Core 2.0 - 6, ADO.NET, EntityFramework 2.0 - 6, Microsoft Sync Framework, Web API, Web Services, Android Studio, Sencha Touch, SQL, PhoneGap, Cordova, Crystal Report, Fusion Charts, Oracle, oAuth 2.0

ID : 1567
Data Analyst
Education level: Bachelor's degree
Work experience level: Expert- (more than year 7)
ID : 1414
Data Scientist/ Machine Learning Engineer
Education level: Bachelor's degree
Work experience level: Associate- (1-2 year experience)
Special Notes :

Programming Languages and Others: Python, SQL, R, C, C++ ,C#, JavaScript, Tensorflow, Prolog, Json, HTML, CSS | Software tools: Tableau, PowerBI, SSIS, SRS, PISQL, Oracle apex

ID : 1413
Data Scientist
Education level: Bachelor's degree
Work experience level: Experienced- (4-7 year experience)
Special Notes :

Python, Pyspark| MySQL, Django, Json| Rapidminer, Dataiku, Apache, sparkELK Stack| Clustering, Regression, Classification, Neural Net, Time Series, XgBoost, Exponential smoothing, similarity score algorithm | NLP: Regex, Spacy, NLTK, Chatbot(dialogflow) Information scrapping, Text preprocessing, Naïve Bayes Classifier |Grafana, Tableau

ID : 1412
Data Analyst
Education level: Bachelor's degree
Work experience level: Intermediate- (2-4 year experience)
Special Notes :

Learning: CRISP - ML models and the process of handling the business problems, Going through the process of finding data types and practicing how to distinguish and handle different types of data types, Through EDA analyzing the anomalies in the data and clearing it by applying the Outliner treatment, winsorization, trimming

ID : 1566
Data Scientist
Work experience level: Associate- (1-2 year experience)

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