Strong understanding about clinical information retrieval from online sources like PUBMED, EMBASE, Cochrane using R as per predefined specifications across multiple disease areas like Oncology, Endocrine disordersSolved many problems in the database by writing the new script using Python and R programming language.Data review, Data validation and consolidation using the generated R-scripts and VBAQuality check and restructuring of the consolidated data according to the client template by utilizing R ScriptsCollection of data from Summary level clinical trial outcomes databases and consolidation of the published clinical data in a controlled and standardized fashion that can be efficiently used to support model based meta-analysisand trial simulationsPlotting KM curves from respective digitized data of KM curves using R, to recheck the digitized values in the datasetUtilized existing VBA program snippets to ease my work of merging, splitting the data and rectifying the copying mistakes.Using R programming for subsetting, indexing and merging multiple databases using packages like dplyr, plyr, data.table, tidyr, reshape and stringer etc.Used various R packages like ggplot, lattice, plotly and ggpubr for the data visualizationAssisting in generating the high-level graph and summary table to aid in the better understanding of databaseHaving ample experience in effectively writing code for data validation, normalization, imputation and quality checks of various datasetSound knowledge of creating dashboard (using shiny R) for large dataset with descriptive and predictive statisticsSupported technical team members in development of automated processes for data extraction and analysisPrepared scripts to ensure proper data access, manipulation and reporting functions using R