* Designed and developed micro services, REST API's using Python and Flask framework to identify fraudulent users among Sam's club transactions(Dotcom, Returns, SnG, Fuel) in real-time. * Successfully built and pushed machine learning models to production after engineering new model features for fraud prevention across channels like E-commerce, Scan-and-Go and Curbside pickup.* Saved the company over $50M/year in 2021-2024 by development and maintenance of high-availability service… Show more * Designed and developed micro services, REST API's using Python and Flask framework to identify fraudulent users among Sam's club transactions(Dotcom, Returns, SnG, Fuel) in real-time. * Successfully built and pushed machine learning models to production after engineering new model features for fraud prevention across channels like E-commerce, Scan-and-Go and Curbside pickup.* Saved the company over $50M/year in 2021-2024 by development and maintenance of high-availability service Sam's Fraud Engine (Python Backend Microservices) giving recommendations to accept, reject or review all Sam’s Club orders preventing fraudulent activity in real-time.* Successfully implemented data engineering pipelines and worked on pyspark scripts to automate the data movement and transformation of data between sources. (GCP)* Designed and lead the effort in developing the microservice for Returns Fraud Engine and owns it. It has prevented 20M USD worth of fraud last year.* Design, build large-scale data processing pipelines and run nightly batch jobs and event-streaming using Spark, Kafka and GCP’s Dataproc as well as developed dashboards to monitor the data quality and infrastructure metrics.* Developed optimized code and created dashboards to automate the monitoring of machine learning models performance (data drift, feature drift, performance metrics, integrity issues and more).* Developed tool to understand and produce more insights on machine learning model predictions by using AI explainability algorithm. Show less

• Successfully built and pushed to production machine learning models after engineering new features for fraud prevention across channels like E-commerce, Scan-and-Go and Curbside pickup.• Saved the company over $50M in 2021-2022 by development and maintenance of high-availability service Sam's Fraud Engine (Python Backend Microservices) giving recommendations to accept, reject or review all Sam’s Club orders preventing fraudulent activity in real-time.• Successfully implemented data… Show more • Successfully built and pushed to production machine learning models after engineering new features for fraud prevention across channels like E-commerce, Scan-and-Go and Curbside pickup.• Saved the company over $50M in 2021-2022 by development and maintenance of high-availability service Sam's Fraud Engine (Python Backend Microservices) giving recommendations to accept, reject or review all Sam’s Club orders preventing fraudulent activity in real-time.• Successfully implemented data pipelines and worked on pyspark scripts to automate the data movement and transformation of data between sources. (GCP) Show less

•Used the BeautifulSoup Python Library to extract desired data from a given URL an automated way. •Performed data cleaning to generate organized big data with the help of Python3 packages like Newspaper, Geotext, Pandas and Numpy.•Converted data into actionable insights by performing word stemming, lemmatization and logistic regression. •Developed web-based application using Django to store data and deployed it on google cloud platform with MongoDB.

• Build and maintained SQL scripts, indexes, complex queries for data analysis, extraction and data verification.• Developed production software for automating Enrollment data update using Python, cx-Oracle and SQLAlchemy.• Designed and developed structured application framework in CI/CD pipeline using event driven and MVC architecture.• Contributed into every phase of software development life cycle and enforced Agile principles using Scrum.• Developed scaling solution for the… Show more • Build and maintained SQL scripts, indexes, complex queries for data analysis, extraction and data verification.• Developed production software for automating Enrollment data update using Python, cx-Oracle and SQLAlchemy.• Designed and developed structured application framework in CI/CD pipeline using event driven and MVC architecture.• Contributed into every phase of software development life cycle and enforced Agile principles using Scrum.• Developed scaling solution for the enrollment database using Python and index optimization. Show less