Data Analyst Resume

SUMMARY:

Excellent spoken and written communication skills.

DIGITAL SKILLS:

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:

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.