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Principal Product Manager at Oracle specializing in Cloud Applications and Data Science
I am a Principal Product Manager at Oracle, with over 12 years of experience and a Master's degree in Information Management from the University of Washington, Seattle. I have specialized in Data Science and Machine Learning, and have also worked on building products related to Data Analytics, Logging, Monitoring, Events, SIEM and Machine Learning. As part of the Oracle Cloud Infrastructure's Observability team, I work on various aspects of the product, such as market strategy, product documents, feature launch, pricing, release blogs, mockups, and analyst report. I have also worked on building Observability and ML platforms from scratch, using tools and languages such as Python, R, SQL, Splunk ML Toolkit, and Tableau. I have multiple patents and publications in the field of Event Forecasting and Metric Forecasting, and I have recorded 30+ product demos to showcase the value and features of our solutions. I have strong communication skills and the ability to interact with both technical and non-technical audiences. My goal is to deliver innovative and impactful products that solve real-world problems and enhance customer experience.
University of Washington
Master’s Degree, Information Management
January 1, 2015 – June 1, 2017
National Institute of Technology Srinagar
Bachelor's Degree, Electrical, Electronics and Communications Engineering
January 1, 2007 – January 1, 2011
Kendriya Vidyalaya
High School, Pure Science
January 1, 2005 – January 1, 2007
Oracle
Principal Product Manager
September 1, 2022 – Present
Seattle, Washington, United States
Oracle
Senior Product Manager
June 1, 2020 – September 1, 2022
Seattle, Washington, United States
Splunk
Senior Product Manager: Machine Learning
February 1, 2020 – June 1, 2020
Seattle, Washington, United States
Splunk
Product Manager: Machine Learning
July 1, 2017 – February 1, 2020
Seattle, Washington, United States
TED Conferences
Technical Lead
November 1, 2016 – July 1, 2017
Greater Seattle Area
University of Washington Information School
Research Assistant
September 1, 2016 – December 1, 2016
Seattle, Washington
Splunk
Product Manager Intern: Machine Learning
June 1, 2016 – July 1, 2017
Seattle, Washington, United States
HCL Technologies
Consultant
September 1, 2013 – May 1, 2015
HCL Technologies
Software Engineer
July 1, 2011 – September 1, 2013
Tata Communications
Intern
January 1, 2010 – March 1, 2010
Jalandhar Area, India
Analyzed and processed various datasets for Data Science and Machine Learning operations
October 1, 2015 – March 1, 2016
Using Python: ● Applied customized machine learning algorithms to interpret the relationships between 13 predictor variables and the mean value of housing at Boston ● Evaluated the impact of Progresa treatment on socio-economic factors of poor households in Mexico using Python Analyzed following datasets, using R Studio : ● state (US States): built-in dataset from R ● San Francisco crime classification (6 June, 2003 to 13 May, 2015) - Kaggle ● nycflights13 (All flights from NYC in 2013) : built-in dataset from R
Get Out! : Designing the information architecture of a blesiure travel firm
October 1, 2015 – December 1, 2015
Revamped the information architecture of desktop and mobile applications of a blesiure travel firm by building the wire frames, user personas, taxonomy, content analysis tables, user flow, content flow with a special element of 'Virtual Reality' imbibed into the project as an edge above others,
UTi- Application Middleware
September 1, 2011 – Present
As an Integration Analyst my main responsibility has been resolving business client’s issues regarding where their shipment orders/purchase orders are currently present. Also I am involved in developing message builder components using Axway Datampper and TS client. I monitor the XIB and Amtrix Servers for FTP,OFTP,JMS nodes using UNIX commands.
ENTREPRENEURSHIP ACCELERATION PROGRAM: SCALING YOUR BUSINESS
The Wharton School
June 24, 2026 – Present
Splunk 6.4 for Analytics and Data Science
Splunk
June 24, 2026 – Present
AMCAT Certified Data Processing Specialist
Aspiring Minds
June 24, 2026 – Present
AMCAT Certified Software Development Trainee
Aspiring Minds
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background spanning product management, software engineering, and data analysis projects. Their experience at large tech companies like Oracle and Splunk, combined with academic research and personal projects, suggests adaptability and a broad interest in technology. However, the primary career trajectory has been in Product Management, which is distinct from a pure Data Analyst role. While there are relevant data analysis projects, the bulk of their professional experience is not directly in a hands-on data analyst capacity, which might require a cultural shift in day-to-day responsibilities.
Soft Skills & Operational Fit
The candidate's experience as a Product Manager and Consultant suggests strong communication, client interaction, and team coordination skills. Their role as a Technical Lead at TED Conferences also indicates leadership and project management capabilities. The description of managing applications on UNIX systems and coordinating migrations points to operational aptitude.