Ayush Gupta Email & Phone Number

Middletown, CT, US

• Created and deployed a machine learning model for credit risk analysis to predict the risk level associated with extending credit to prospective clients and implemented semi-supervised algorithms to identify top.
• Utilized TensorFlow Data Validation library to generate data statistics and validate serving data for changes at feature and distribution level.
• Created ML Metadata store to keep track of Data Provenance and Data Lineage.
• Used TensorFlow Model Analysis Library to evaluate model performance across different slices of data.

Hartford, Connecticut, United States

• Analyzed annuity contracts data to identify critical factors and delivered significant insights which helped in prediction of contract length andreduction of losses due to extended payouts.
• Conducted in-depth feature analysis on a large dataset of annuity contracts consisting of 7.5M records, utilizing advanced preprocessingtechniques such as transformation, standardization, imputation, binning, scaling.
• Used Permutation Importance to identify important variables and oversampling techniques to create a balanced dataset.
• Created a Gradient Boosting model using python that predicted the age at which annuity contracts are likely to terminate.
• Designed interactive Power BI reports to effectively present the results of analysis to respective stakeholders.

Noida, Uttar Pradesh, India

• Led a 4-person team to create API-based applications using Mule 4 (XML) on MuleSoft platform to fetch 1 million records every hour and integrating it with Oracle SQL server to process and store them by creating.
• Supervised complete Software Development Lifecycle for an API-based application and implemented version control system and CI/CD pipeline which reduced the deployment time of the application by 20%.

Bengaluru, Karnataka, India

• Assisted in successful migration of multiple applications from on-premises servers to Google Cloud Platform resulting in better reliability, scalability, security and reduced operational costs by 30%.
• Implemented auto-scaling and alerting policies for improved performance, reliability and reducing downtime of applications by 90%.

Ms In Business Analytics And Project Management, Data Science And Analytics

Course Work: Data Management and Business Process Modeling, Predictive Modeling, Statistics using R, Data Science using Python, Data.

Bachelor'S Degree, Computer Science

Course Work: Object Oriented Programming, Data Structures, Computer Architecture, Database Management Systems, Machine Learning.

12Th, Mathematics, Science