Neha Ruikar
About
Neha Ruikar is from San Francisco Bay Area. Neha works in the following industries: "Computer Software", "Semiconductors", "Internet", "Renewables & Environment", "Marketing & Advertising", "Higher Education", "Financial Services", and "Automotive". Neha is currently Senior Product Manager at Twitter, located in San Francisco Bay Area. In Neha's previous role as a Senior Product Manager, Machine Learning & AI at NextRoll, Inc. (formerly AdRoll Group), Neha worked in San Francisco Bay Area until Mar 2021. Prior to joining NextRoll, Inc. (formerly AdRoll Group), Neha was a Sr. Technical PM - Data Science & Analytics at Credit Sesame and held the position of Sr. Technical PM - Data Science & Analytics at Mountain View, San Francisco Area. Prior to that, Neha was a Technical PM - Data Science & Analytics at Credit Sesame from Jan 2018 to Jan 2019. Neha started working as Mentor - Launchpad Accelerator at Google in Jan 2017. From Jan 2016 to Jan 2018, Neha was Product Management Specialist at Bloom Energy, based in Sunnyvale. Prior to that, Neha was a Member - Board of Directors at Women in Cleantech and Sustainability, based in Cupertino from Jan 2015 to Jan 2018. Neha started working as Senior Engineer - Product Development at Bloom Energy in Jan 2015.
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Neha Ruikar's current jobs
Neha Ruikar's past jobs
Lead Product Manager for NextRoll's AI/ML driven products including CDP, Targeting, Pricing, and Smart Segmentation.
- I leverage consumer data to design roadmaps and drive strategic, multi-phase programs, involving several contributing teams - I work with the data science, data engineering and analytics teams on design and execution of various AI/ Machine Learning algorithms for personalized recommendation systems, data infrastructure projects on AWS (Redshift, Kinesis, S3, Amazon Glue, Elastic Beanstalk) and development of business analytics tools. - Evangelize ML based solutions (logistic regression, random forest, xgboost) with business and execs. - The team of 6, led by me was instrumental in over XX% volume & revenue growth for new accounts, while improving customer experience. - Pencil Award - for creativity in designing solutions. - Peer recognition awards
Mentored 4 early/ mid-stage startup's on - Data-driven marketing metrics, product analytics and growth KPI's - Product Strategy and Roadmap for Fintech chatbot startup - User engagement and retention
- Created User stories. Defined Product strategy and roadmap. - Defined and analyzed metrics that informed the success of products. - Drove UI/UX development and testing efforts. - Architected the Data analytics platform backend infrastructure/ETL process & set up data warehouse and datamarts - Worked with cross-functional teams (Developers/ QA/ BD/ Marketing) to address key use cases and Customer issues.
Women in Cleantech and Sustainability (WCS) fosters an influential network of professionals to further the roles of women in growing the green economy.
- Control systems architecture for energy servers. Designing and optimizing controls algorithms. - Automated regression, scripting, code coverage testing.
- Agile development methodology for the Auto- Sequencer firmware. Used JIRA for sprint planning, scrum meetings and sprint retrospectives. - Identified risks, developed mitigation strategies and facilitated cross-functional conflict resolution. - Developed and improved control algorithms for Extreme Ultraviolet (EUV) laser by leveraging system (sensor/ actuator) modeling using first principles, signal processing techniques, and nonlinear control algorithms. - Architected a simulator to facilitate Software-in-Loop (SIL) testing, resulting in XX% cost reduction. - Performed integration activities including troubleshooting the control system, designing and executing test plans and test automation.
- Developed a real-time dynamic estimator/ Kalman filter for powertrain - Implemented firmware algorithms using FPGA (Virtex 5 FPGA) - Deployed using dSPACE and NI Real Time Operating System (RTOS)
- Developed and optimized PID Controls algorithms for automotives - Integrated with onboard vehicle diagnostics and Cummins ECU (Engine Control Unit) - Developed and optimized estimation and controls algorithms for piezoelectric fuel injectors, that reduced fuel consumption, noise as well as NOx, SOx and particular matter emissions.