Data Scientist

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 :
Profile description

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

Work experience In details :
Job position
Job description

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.
Hard skills
  • 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
Soft skills
  • 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
Special notes

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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