1. Working on life sciences analytics projects with Accenture, worked as a data analytics consultant todeliver projects2. Worked on data related to clinical research, pre-clinical, clinical trials and operations data related toclinical trials etc3. Stakeholder management & project management for successful project delivery4. Strong team player with strong experience in Python, SQL, Tableau & AWS Services5. Worked on Machine Learning projects such as Prediction of length of stay of Patients, Predicting Churn patients and Patient Risk Identification using various machine learning methodologies6. Worked on 5 major projects and more than 50 ad-hoc requests toprovide insights from data available7. Created many Tableau visualization reports. Extensive querieshave been built based on requirements of the project using SQL,Python, AWS etc

1. Worked as Business Analyst and responsible for delivery of many analytics projects for Call CenterAnalytics2. Worked on Customer Analytics, Agent Analytics, Performance of Call Center, Complaints Analysisand many more3. Worked on more than 20 projects, which provides extensive business insights to take decisions4. Worked extensively on SAS, SQL, Tableau and Excel VBA to create and automate reports5. Created a models to Predict Churn Customers in near future. Used features such as call volumes,Complaints Volume, Call Notes data, Call details, Customer behavior and many more6. Worked on Text analytics using survey data and call notes to understand the customer feedback andCustomer behavior7. Extensive analysis and dashboards were built using call miner and complaints data to identifyunhappy customers, this helped business to take appropriate actions to retain them8. Helped clients to identify areas of improvement and recommended automations and innovations

1. Pre-campaigning for retail products, analyzed the areas to promote across the retailers within certainradius across each store. Analyzing the areas based on the population strength, population type,people’s lifestyle, different geographies, and various other factors2. Analyzed the post effects of campaigns using pre and post comparison, time series analysis, thisyear and year ago comparison, moving average methodology and ANCOVAS.3. Created End to End automated reports using SAS and VBA, from data pull, data transformation andcreating different set of reports presenting wide range of metrics