Data Scientist

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Data Scientist

ID : 1020

Education level : Bachelor's degree

Work experience level : Intermediate- (2-4 year experience)

Work experience in total : Years

Job type : Online

Job time : Maandelijks

Last date of registration :

2022-11-23

Experienced Associate Data Scientist with a demonstrated history of working in the information technology and services industry.

Software Engineer in Data Science - ConceptVines - (Apr 2022 – Present)

Power BI / AWS / Snowflake

Associate Data Scientist - XO concepts - (Apr 2021 – Apr 2022)
Technical Analyst, Data Science - XO concepts - (Feb 2020 – Apr 2021)

Deployed an analytics engine (using Python) to visualize and monitor the whole factory floor (using Power Bi) and increase production by 20%.
Working with Jupyter and Python Plotly to demonstrate various kinds of visualizations and increase their productivity.
Experienced in programming with Python and SQL databases having performed query optimization.
Built predictive models to predict the possibility of equipment failure.
Scheduling analytics using cronjobs and reducing idle time in different industries.
Automate pattern recognition using dynamic time warping.
Demonstrated the ability to quickly learn new technologies and adapt to new development environments having joined ongoing development projects.

Data Science Intern - Creative Software - (Aug 2019 – Feb 2020)

Implemented and designed the ML and DL models for different use cases using python and got hands-on experiences in cloud computing and APIs
Successfully reversed engineered a large-scale predictive maintenance machine learning model used to identify possible machine breakdowns.
Conducted training to team members on enhancing methodologies and best practices in Data Analytics and Python.

Python (Numpy, Pandas, Scikit-Learn, Keras, Flask)
SQL
Big Data
Git
Time-Series Forecasting
Probability/Statistics
Recommendation Engines
Analytics Engines
Customer Segmentation
Data Visualization
Pattern Recognition
Jupyter
Plotly
Excel
PowerBI
GCP
AWS

Completed Courses at Coursera
- Introduction to Data Science in Python-University of Michigan
- Statistical Inference–Johns Hopkins University
- SQL for Data Science -University of California
- Google Cloud Big Data and Machine Learning Fundamentals - Google Cloud
- Google Cloud Fundamentals: Core Infrastructure - Google Cloud
- Introduction to Tensorflow for Artificial Intelligence, Machine Learning, and Deep Learning - DeepLearning.AI

Python (Numpy, Pandas,Scikit-Learn, Keras, Flask), SQL, Big Data, Git, Time-Series Forecasting, Probability/ Statistics, Power BI/ AWS/ Snowflake, Recommendation Engines, Analytics Engines, Customer Segmentation, Data Visualization, Pattern, Recognition, Jupyter, Plotly, Excel, PowerBI, GCP, AWS

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