Collaborated in the development of a warehouse loan application to facilitate loan setup and automate borrowing base calculations
Engaged with asset managers to gather requirements, understand loan structures and accurately implement financial calculations
Integrated vendor data into GS database enabling seamless ingestion for downstream financial modeling
Software Engineer - Machine learning
Navriti Technologies
05.2023 - 08.2023
Worked on building a liveliness detection model for an online proctored examination setting which takes images captured during the exam as an input and provides an evaluation whether the candidate is potentially cheating
Data Scientist II
Micron Technology
08.2022 - 02.2023
Chamber mismatch: Gathering data from real time sensor data and trying to find the cause for variation of output characteristics of wafers manufactured from different chambers
Wafer reliability: Selecting the wafers with better reliability from the results of the pre-testing phase which is carried out before the wafer is sent out for rigorous reliability testing, thus accelerating toward achieving a better recipe
Conducted data analysis and pre-processing to transform raw data into a format suitable for modeling
Built predictive models using machine learning algorithms and utilized techniques such as cross-validation and hyperparameter tuning to optimize models and improve accuracy
Communicated findings and insights to non-technical stakeholders through data visualization and presentations
Intern - Data Science
Micron Technology
01.2022 - 07.2022
Virtual Metrology - Worked on virtualisation of the costly physical metrology process in the dry etch phase of wafer manufacturing
This involved collecting data from various sensors to create a predictive model to estimate the critical dimensions of the wafer
Software Engineer
Kongsberg Digital
07.2018 - 06.2019
Predictive maintenance in offshore drilling to detect potential equipment failures before they occur using machine learning
Designed an end to end travel application as a part of training project, where users can post travel experiences with images