Master of Science: Data Science

• Relevant Coursework Completed: Statistical Data Mining, Programming and Database in Python, Probability & Numerical Mathematics for Computation, Machine Learning, Algorithms, Data Models and Query Language • GPA: 3.54/4

Bachelor of Engineering: Computer Science Engineering

Machine Learning Data Scientist Intern

• Executed the development and deployment of XGBoost-based claims automation pipeline on Amazon SageMaker.
• Integrated preprocessing of million rows of data and error handling in AWS Lambda.
• Built a Node.js script with Newman as library and expedited API testing by 80%.

Application Development Associate

• Developed and managed change requests for ‘Employee Portfolio’ web application components, employing ASP.NET MVC Framework.
• Assisted a team of 30 software architects to maintain and improve in house software modules and technical support.
• Centralized cross-platform pipeline on Azure.

Machine Learning Intern

• Formulated a Conditional Random Field (CRF) based NLP model in python to automate and escalate employee’s reimbursement process by 35%.
• Prototyped machine learning applications and quickly determined application viability.
• Extracted, annotated & cleaned multiple large semi-structured documents.

Machine Learning Intern

• Created customized applications to make critical predictions, reasoning and decisions, and calculate optimization algorithms.
• Researched, designed and implemented machine learning applications of Linear Regression, Logistic Regression, Decision Tree, SVM, Naive Bayes, KNN and K-Means algorithm to solve business problems.