Jul 2020 – Sep 2021 · 1 yr 2 mos

Jan 2018 – Jul 2020 · 2 yrs 6 mos

• Designed & developed a rule based data analysis framework to monitor firm's risk data, replacing repetitive and error-prone manual analysis. The framework was written completely in Python.
• Developed REST APIs to consolidate and serve highly contextualised exposure data to aid deeper investigation of the preliminary analysis provided by the framework.
• Developed a web-based workflow application for single-point analysis, review and approval of risk reports. Application stack: NodeJS, React, Redux, MongoDB, SQL (data store), Python (backend services)

Aug 2016 – Dec 2017 · 1 yr 4 mos

Jun 2015 – Jul 2015 · 1 mo · Bengaluru Area, India

• Worked on a project aimed at detecting road artefacts using smartphone sensors only
• Investigated various methods of detection and did an extensive study of prior work done
• Worked on a semi-supervised learning approach where a large unlabeled dataset was labeled through learning from a small labeled dataset using a technique called Label Propagation
• Combined extensive statistical analysis of sensor data with machine learning to train a detector that ultimately detected road conditions and tagged them by their GPS location

Jun 2013 – Jul 2013 · 1 mo · Gurgaon, India

• Worked extensively on the company’s website and revamped the design on the
• front-end using HTML and CSS.
• Created digital content and visuals using professional software such as Adobe
• Photoshop, Adobe InDesign, Adobe Illustrator.
• Did a market study of the payments industry and helped develop the future
• roadmap of the company.