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Algorithms, Data Visualization by Matplotlib, Seaborn, ggplot2 • Creating various dashboards and reports using Tableau, Qlikview / Qliksense, Excel, SQL • Experience in Healthcare, Telecom, Financial Analytics, Demand Forecasting and IT service analytics • SQL Database Administration & Management and IT Service Operations Business and Data Modelling with Workflow creation Skills Machine Learning Classification Algorithm : Logistics Regression, K-NN, Decision Tree, Random Forest, SVM Regression Algorithms : Linear Regression, Decision Trees, Random Forest Clustering Techniques : K-Means, Hierarchical Statistical Analysis EDA, Inferential Statistics, Hypothesis Testing, Probability, Sampling Techniques. Libraries : Statistics, Numpy, Pandas Data Visualization & Dashboarding Libraries: seaborn, matplotlib, ggplot2 Tools: Tableau, Qlik, SQL, Excel

SeptemberPresent, Bangalore | SeptemberAugIndianapolis, USA Client: Global Pharmaceutical Company || Project: Class 2 SAMD iOS application Involved in end to end design and development of an integrated solution and experience, having a communication mechanism with connected devices – Blood Glucose Monitor(BGM) and Basaglar Dose(BD). The app integrates with a Titration Algorithm to recommend real time insulin dose for PwD by taking into account the captured blood glucose readings. Played an onsite technical architect role for the project, being a SPOC for any technical solutions for client and a 50 member offshore team. Involved in technical design and architecture