• Assisted in designing and development of technical architecture, requirements and statistical models.
• Data management: filtering, extraction, visualization, managing unstructured dataset with missing values.
• Regression and classification: liner/non-linear regression, logistic regression, mixed-effect models, robust analysis.
• Coordinated with end users for designing and implementation of analytics solutions as per project proposals.
• Prepared scripts to ensure proper data access, manipulation and reporting functions with R programming languages.
• Formulated procedures for integration of R programming plans with data sources and delivery systems.
• Provided technical assistance for development and execution of test plans and cases as per client requirements.
• Supported technical team members in development of automated processes for data extraction and analysis.
• Participated in learning of techniques for statistical analysis projects, algorithms and new methods.
• Prepared detailed technical documentation such as workflows, scripts and diagrams in coordination with research Team
• Understood Client business requirements and implemented automated ticketing system.
• Perform data cleaning, Visualization and data preparation for further analysis using R, Python.
• Analyzed and processed complex data sets using advanced querying, visualization and analytics tools.
• Used Chi-square test to check correlation.
• Performed Text mining, word cloud techniques to find a