• Understanding and analyzing the business objective of the client• Defining the scope of every project and applying business logic for smooth execution of the project• User-acceptability testing from end user’s point of view• Work with large datasets, do the etl process and create dashboards in powerBI, give insights and suggest area of improvements• Responsible for scheduling and conducting scrums, managing issues and risks.• Managing and creating reports related to projects.• Preparing proposals, presentations and presenting proposals for converting clients

• Worked on complete Data Science Life Cycle i.e. from understanding business problem to the model development and visualization. • Done web scrapping using python libraries in order to collect data. • Participating in Data Preprocessing Techniques and ETL tools(talend) in order to make data useful for creating Machine Learning Models.• Worked on some internal projects to do the data visualization and dashboard preparation using powerBI and DeepInsight tool. • Building various regression and classification model using various algorithm such as Linear Regression, Decision Trees, random Forest.• Developed a model for predicting the profit by using the “50_startups” dataset and using linear regression.