My background entails experience of various data science dimensions like machine learning, statistical analysis, model building by effectively utilizing data science tool such as R,python. I also used various notebooks such Jupyter ,Weka to get valuable inputs for identifying potential feature columns.Due to my technical expertise as Sql developer, I am capable of providing a various patterns that can be observed in the data. Key Achievements n Responsibilities : Developed the model from the scratch that predicts the appointments to be cancelled with accuracy more than 80%. Developed a predictive model to determine the wait time between activities for patient with 60% accuracy. This lead to overall improvement in the NPS(Net promoters score). Used various machine learning algorithms like Naïve Bayes, Decision trees, Logistic regression, SVM,random forest ,Regression algorithms etc. Actively involved in all phases like data cleaning and model building. Implemented various visualizations for exploratory analysis using ggplot2 and lattice packages. Projected the insights in dashboards using Tableau and power BI. Appreciated for building the infrastructure to consume the data from multiple sources like JSon , RDBMS. Used Analytical tools like R , python , WEKA and notebooks like Jupyter. Hands on libraries like carret,dplyr,panda,numpy. Extensively worked on FHIR platform. Used Git/Gerrit,JIRA My humble beginning as a Database Developer Engineer fortified me to execute a comprehensive strategy on Writing Stored Procedures, Triggers, Functions, Queries Optimization, and Reports. Besides this, I was also involved in Performance tuning. I may be contacted at [email protected] ©