Sahil KARKHANIS

• Understanding and Learning about the internal details of the working of Neural Networks and performing Research and Development to improvise the algorithm and library. • Learning about the parameters involved and performing Hyperparameter optimization

• Responsible for designing Use-cases for implementation by collaborating with the experts. • Designing and building machine learning models using Python to optimize the functioning of Waste Water Treatment and Desalination plants using Logistic regression, Decision trees, Random Forest, Neural Networks and Time series analysis. Performing Visualization on data.

• Worked for the ENOVIA brand in XPG team. • Responsible for Data Migration from ENOVIA to other PLM tools and vice-versa. • Involved in Functional and Regression testing of the platform and Software development Lifecycle. • Collaborated with Clients and Counter-parts to help Develop and Test the new features. • Wrote Test Cases and executed them.

Designed test cases based on Software Functional Specifications. • Report Validation following Agile Scrum Methodology. • Executed Test Cases using SQL and gathered Test Execution Results. • Collaborated with developers to maintain the Business rules provided.

Predictive Modeling, Machine Learning, Requirement Engineering, Business Intelligence, Project Management, Finance, UML Diagrams, Organizational Behavior

Mathematics and Statistics, Algorithms, Data Structures, Linear Algebra, Database management