Mar 2023 – May 2023 · 2 mos · United States

• Conducted participant testing for NSF funded research project.
• Collected physiological and quantitative data.
• Structured and performed data cleaning for data analysis.

Jan 2023 – May 2023 · 4 mos · United States

Jan 2022 – Jan 2023 · 1 yr · United States

May 2022 – Aug 2022 · 3 mos · San Francisco Bay Area

• Conducted security evaluations prior to deploying the model in production, detected and resolved 131 threats that improved the model's security by 80%.
• Built an ETL pipeline by using airflow to aggregate datasets using Pyspark, resulting in a model-ready dataset ingested by the MLops framework, which aided in speeding up the model refresh process by 60% via retraining in production.
• Designed the architecture and built an ETL pipeline using services like AWS Lamba, AWS Glue job, AWS S3, AWS CloudWatch, and other services to bring the app store data and google play store data in house.

Jul 2019 – Jul 2021 · 2 yrs · Bengaluru, Karnataka, India

• Developed analytical frameworks to detect real time telecom frauds which include simbox, subscription fraud, sim cloning, sim swap, IRSF fraud etc.
• Integrated and processed terabytes of data from multiple switch elements in various formats that include csv, muti dsv, asn and binary format using technologies like (XML, Mobileum RAID, Oracle SQL, PL/SQL, Shell script, Big Data Technologies such as Hive, HDFS, Presto) to build the extract transform and load (ETL) process.
• Built client facing dashboards which provided real time monitoring of metrics specific to a fraud type. •Test Cycle management skills include system testing, integration testing and executing the user acceptance testing.
• Was part of a cross geography delegation between the professional service organization in Bangalore (Mobileum) and the fraud team in Portugal (Wedo technologies), took part in the collaboration with the 2 teams to work on a project for a period of 2 weeks on-site in Lisbon, Portugal.
• Clients include: Kyvivstar operator [Ukraine], Digi Operator [Malaysia], T Mobile [USA] and Telkom [Indonesia].
• Was Recognized as the most effective and competent employee in Fraud Management systems among 200 coworkers at Mobileum India Pvt. Ltd.

Jun 2018 – Aug 2018 · 2 mos · Bangalore, India

• Developed an application called automatic building detection which was used to detect any encroachment in a particular site,used machine learning concepts to develop the application .

Jul 2017 – Aug 2017 · 1 mo

• Developed an android application called Travelers guide under the guidance of the Android team at BMS Innolabs.

Jun 2017 – Jul 2017 · 1 mo

• completed 8 projects on cloud computing.