Data Analyst/Biostatistician
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Understanding of statistical and predictive techniques like regression, classification and forecasting Strong mathematical skills to help collect, measure, organize and analyze data
Performing analysis to assess quality and meaning of data Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction [R, SPSS, SAS (BASE, STAT) PYTHON]
Good knowledge of techniques such as Linear and Logistic regression, Random Forest, Boosting and Bagging techniques, SVM, Clustering and time series forecasting
Knowledge of data visualization software like Power-BI, Tableau, Matplotlib, Seaborn
Knowledge of how to create and apply the most accurate algorithms to datasets in order to find Solutions Team-working skills & verbal and written communication skills
Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction [R, SPSS, SAS (BASE, STAT) PYTHON]
M SC Statistics, Presidency college chennai