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Data Analyst Resume

SUMMARY:

Excellent spoken and written communication skills.

DIGITAL SKILLS:

  • SELF - ASSESSMENT
  • Information processing
  • Communication
  • Content creation
  • Safety
  • Problem-solving
  • Proficient user
  • Proficient user
  • Independent user
  • Proficient user
  • Proficient user

TECHNICAL SKILLS:

Tool: Python (2.7/3), Excel, SQLlite

Deep Learning: Keras, Tensorflow, Pytorch

Other Libraries: Scikit, Numpy, Pandas, Matplotlib,OpenCV

Deployment: Anoconda, IPython,Notebook/Jupyter, Spyder, Google-Colab

OTHER SKILLS:

  • Python
  • Machine Learning Algorithms
  • NLP
  • Deep Learning
  • Computer vision
  • OpenCV
  • SQL
  • MS - Excel.

WORK EXPERIENCE:

Data Analyst

Confidential

Responsibilities:

  • Data extraction from Accident investigation reports, First aid analysis report and occupational Disease report.
  • Closely deals with Safety Head to optimize input features according to use case.
  • Predicting accident occurrence and First Aid occurrence and make site engineer at site in advance.
  • Converting data into actionable insights by predicting and modelling future outcomes.
  • Prepared reports that interpret consumer behaviour, market opportunites and conditions, marketing results, trends and investment levels
  • Working in Data Science, Python, SQL. And MS-Excel.
  • Working in Machine Learning, Deep learning and NLP.
  • Ability to work on structured and semi-Structured data.
  • Processing, cleansing, and verifying the integrity of data used for analysis.
  • Worked in modelling techniques - Reliability models, Markov Models, Stochastic models, Bayesian Modelling, Classification Models, Cluster Analysis, Neural Network, Time Series analysis, NLP Models, Multivariate Statistics.
  • Good in building predictive models using Supervised and Unsupervised Machine learning algorithms: Regression, Classification, Clustering, Natural language processing, computer vision and Image processing.
  • Develop forecasting models for key business services and answers to key questions.

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