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ID : 1035
Data Analyst
Work experience level: Experienced- (4-7 year experience)
ID : 1034
Content Writer
Work experience level: Associate- (1-2 year experience)
ID : 1033
Network Engineer
Work experience level: Experienced- (4-7 year experience)
ID : 1032
ICT Technical Support
ID : 1031
Cyber Security Specialist
Work experience level: Expert- (more than year 7)
Special Notes : MSc (Information Security & Fervencies) Westminster University UK. Currently Following
ID : 1513
Data Scientist
Education level: Master's degree
Work experience level: No experience- (0 experience)
Special Notes :

A beginner level candidate with skills in Python, MySQL (RDBMS), MS Office, Exploratory Data Analysis, Hypothesis Testing, Descriptive Analysis, ANOVA, Chi- Square, Unsupervised learning, Supervised learning- Regression, Classification, Ensemble Learning, Matplotlib, Seaborn, Tableau, MS Excel, Model building and Physics

ID : 1512
Data Scientist
Education level: Bachelor's degree
Work experience level: Expert- (more than year 7)
Special Notes :

An expert in Data analysis Python, Data frames Python, Matplot Lib Python, Machine Learning Python, Automation, Scraping in Dexi.io and Python.

ID : 1511
Data Scientist
Education level: Bachelor's degree
Work experience level: Associate- (1-2 year experience)
Special Notes :

Data Enthusiast having an experience of Structured Query Language (Window Function), Python (numpy, pandas, matplotlib), Spyder, SQL Server, MS Excel, Tableau Data Analyst Skills, Statistics: Mean, Median, Mode, IQR.

ID : 1510
Data Scientist
Education level: Bachelor's degree
Work experience level: Intermediate- (2-4 year experience)
Special Notes :

A Data Scientist with 4 years of experience in the field of advanced analytics across sectors like Supply chain, Retail, Medical. Substantial experience developing end-to-end scalable machine learning and neural network systems in an industry environment. Well versed with Supervised and Unsupervised ML approaches, Natural language processing.

ID : 1509
Machine Learning Engineer
Education level: Master's degree
Work experience level: Intermediate- (2-4 year experience)
Special Notes :

A Machine Learning Engineer having hands on project experience in Java, C, C++, Python, Matlab Scripting Language, Prolog, Haskell, Assembly Language(MIPS), Keras, Pytorch, Tensorflow, Pandas, NumPy, Matplotlib, OpenCV,  Flask, NLTK, Spacy, Transformers, Pyfhel, Git, Rapidminer, Weka, Google Colab, Android Studio, Proteus, Latex, Scratch, Balsamiq Mockup, Anaconda, Spyder, PyCharm, IntelliJ and Eclipse

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