Apr 2025 – May 2026 · 1 yr 1 mo · Bengaluru, Karnataka, India

Apr 2024 – Apr 2025 · 1 yr · Bengaluru, Karnataka, India

Apr 2022 – Jun 2024 · 2 yrs 2 mos · Bengaluru, Karnataka, India

Sep 2020 – Apr 2022 · 1 yr 7 mos

• Owned an Intelligent Inventory Management Product as part of the Noodle Digital Supply Chain Product suite that would predict supply-demand imbalances, prioritizes risks, and recommends actions to mitigate financial risks. The product gives 10-25% improvement in lost sales, 25-40% reduction in expedite costs and 15-25% less inventory holding costs.
• Partnered with our customers, their business stakeholders, and a cross-functional team of Data Scientists, Engineers and Designers to drive forward the development, deployment, and adoption of our applications applying Deep Probabilistic AI to generate business value.
• Setup the release management process that is SOC2 compliant that has reduced time spent by 70%.

May 2019 – Aug 2020 · 1 yr 3 mos

• Initiated and led the go-live of the product in EMEA and APAC regions conducting training sessions for the users, hypercare sessions and constant support to help users onboard.
• Collaborated with the Data Science team to setup an automated model performance feedback system. Detailed out PRDs for every release with elaborate information on the user stories and simultaneously setup Jira tasks. Closely worked with the UI/UX team to improve the usability of the product using design sprint principles. Spearheaded the product integration strategy with ERP systems like SAP for easy adoption.

Oct 2017 – Apr 2019 · 1 yr 6 mos

• Lead conceptual designing and creation of automation processes as part of the Risk Analytics team with focus on the Internal Capital Adequacy Model (ICAM) primarily built on MATLAB for multiple standard reporting processes, like Swiss Solvency Test which leverages appropriate risk reports for local regulatory risk reporting.
• Designed and developed the “Risk Capital Modelling” approach for Swiss Re in Asia to ensure that all internal and external requirements are being met as part of the group risk model framework and its processes which involves creating precise technical concepts and proposals to customize/fine tune existing ICAM modules.
• Analyze exposure data, test/refine risk factor calibrations, derive projection factors, perform stress/scenario testing and develop pragmatic but feasible proxies where necessary.

Jan 2016 – Oct 2017 · 1 yr 9 mos

• Innovation Lab owner responsible for maintaining and refreshing Mu Sigma's Innovation Lab that hosts multiple prototypes for advanced analytics use cases and ML capabilities supporting the business development pipeline by highlighting innovative analytics technology in action.
• Established innovation labs for various delivery centers worldwide to catalyze client interactions, mindset expansion, and brainstorming.
• Key player in the Product Owner Team for Mu Sigma's proprietary product suite consisting of real-time analytics platform, batch automation workbench, and rapid prototyping visualization tool, across various functions in a product lifecycle building and commercializing enterprise AI and ML based application platforms.
• As a Product Innovation Lead, responsible for product management of the proprietary products and their use cases, product demos, product research, adoption and support, training and documentation. Took an active part in creating product roadmaps and data architecture discussions with multiple cross-functional teams.
• Led an innovative cross-functional project team focused on problem-solving in the Industrial Internet of Things (IIoT) space. For instance, an enterprise AI application was built for a leading US based Airlines major, bundling deep learning algorithms to detect humans and baggage in a jet bridge, and pushing it into production across various airports in the US, along with custom hardware IP for the clients to consume; led a team to build a digital twin of an automobile engine for predictive maintenance for an automobile industry use case.
• Conducted multiple client training sessions, webinars, and workshops for over 20 different clients on the proprietary tool and design thinking. Also, trained over 100 internal stakeholders on the same.

Jul 2014 – Dec 2015 · 1 yr 5 mos

• As a product owner, worked on project managing and building interactive web dashboards for various IoT applications like Remotely Control Pan and Tilt of an edge device setup, Facial Expression Recognition, Telemetry analysis, Human Motion Tracking application, multiple Analytical Reports using BI Tools like Tableau and Power BI as part of lab prototypes and various client delivery engagements.
• Focused on application design prior to execution using methods like design sprint, design principles, along with visualization concepts like color theory, created by renowned experts like Edward Tufte and Picasso, to teach clients and client engagement teams through interactive sessions for which I was recognized company-wide for an excellent performance that semester.
• Implemented a company-wide initiative to create and automate a BPMN 2.0 workflow to send across morning emails to everyone in the company, every day using the company's proprietary tool.
• Created and scaled a Logistic Regression model tracking workflow for a major US based oil and gas company.
• Developed backend features for the proprietary UI platform in JavaScript.

Oct 2013 – Jul 2014 · 9 mos · Bengaluru Area, India

• Developed the Sentiment Analysis tool- TexSIE (http://texsie.tationem.com) and submitted as our final project in College. We have been featured on a couple of online news websites, TexSIE, like Your Story (link- http://yourstory.com/2014/07/sentiment-tool-texsie/) and Tropical Post (link- http://tropicalpost.com/texsie-sentiment-analysis-tool/)
• A text-mining project where a customer gets to review the place he has visited (hotel, for instance) using a web/mobile app, these reviews are collated and by using a couple of text mining algorithms, we derive insights about the sentiment of the review. This is in turn shared with the hotel management team to improve the place further.