BI & Analytics
Uday Krishna
Worked at @capitalone @samsung, @airwatch-by-vmware • Studied at @university-of-michigan, @visvesvaraya-technological-university
Worked at @capitalone @samsung, @airwatch-by-vmware • Studied at @university-of-michigan, @visvesvaraya-technological-university
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Experience
Analytics
- Analytical support for business reviews and executive decision making for the global customer success management team’s lead pass program working with analytic teams in... more US and India.
- Self-servicing tools.
- Built the Govt. brands dashboard in Tableau for onboarding of Govt. brand merchants and to track merchant health.
- Built a program around self-service support for the lead pass program.
- Analytic Projects:
- Developed a rule engine based complexity score for CSM portfolio and account allocation.
- Self-servicing tools.
- Built the Govt. brands dashboard in Tableau for onboarding of Govt. brand merchants and to track merchant health.
- Built a program around self-service support for the lead pass program.
- Analytic Projects:
- Developed a rule engine based complexity score for CSM portfolio and account allocation.
Principal Data Analyst
- Analytical partner to Executives, Product Owners, Tech, Risk, Legal, Marketing & other stakeholders in 3 teams – Digital Analytics, People Analytics & Conversational... more AI Product Analytics.
- Ad Hoc Analysis (Urgent and Important analysis upon which business decisions and/or product roadmap decisions are taken). Few Examples:
- Customer Sizing for fraud events and product feature building for the Capital One Mobile App that led to the development of a unified Phone Number and Email API for Capital One.
- Measured effectiveness of features (payment reminders) on Eno (Digital Assistant/Chatbot), identifying impact of risk events, impact of wrong numbers and call rates by user cohorts.
- Self Servicing Tools:
- Built end-to-end self-serving tools for internal mobility and resume scoring using Tableau and Flask (Python) while in People Analytics.
- Led the Conv AI team’s journey into dashboarding.- set up the Tableau infrastructure for the team, built the first end-to-end automated dashboard (Monthly Active Users), coached other analysts on the team and supported the development of 30+ Tableau dashboards (built 5 of them myself).
- Implemented open-source self-servicing solutions such as Metabase for Product Owners to self-analyze user data in Digital Analytics.
- Long Term Analytics Projects. Few examples:
- Measuring the business value of virtual digital assistant/chatbot of Capital one by discovering a new metric and establishing its effectiveness to the business.
- Developed a rule based fraud monitoring solution/dashboard for the chatbot to act as a risk guardrail for the team by looking at the spend/fraud ratio.
- Established a feedback loop with customers by scraping app stores reviews to identify topics/classes of customer reviews and connecting them to software devs/PMs to track subjective performance of new feature/version releases.
- Leadership:
- People Leadership – Been managing for more than 1 year now (along with IC responsibilities). Currently have 2 direct reports.
- Program Leadership – Example - Led the data governance (CCPA) efforts for the department by helping different team members reclassify their datasets and register them in the internal tool to be compliant with the new privacy law.
- Managed a rule based text analysis tool (Clarabridge) used by 20+ teams across Capital One – from contract negotiation to process (backend to end user interaction) to tech enhancements (implementation and adoption of APIs).
- Ad Hoc Analysis (Urgent and Important analysis upon which business decisions and/or product roadmap decisions are taken). Few Examples:
- Customer Sizing for fraud events and product feature building for the Capital One Mobile App that led to the development of a unified Phone Number and Email API for Capital One.
- Measured effectiveness of features (payment reminders) on Eno (Digital Assistant/Chatbot), identifying impact of risk events, impact of wrong numbers and call rates by user cohorts.
- Self Servicing Tools:
- Built end-to-end self-serving tools for internal mobility and resume scoring using Tableau and Flask (Python) while in People Analytics.
- Led the Conv AI team’s journey into dashboarding.- set up the Tableau infrastructure for the team, built the first end-to-end automated dashboard (Monthly Active Users), coached other analysts on the team and supported the development of 30+ Tableau dashboards (built 5 of them myself).
- Implemented open-source self-servicing solutions such as Metabase for Product Owners to self-analyze user data in Digital Analytics.
- Long Term Analytics Projects. Few examples:
- Measuring the business value of virtual digital assistant/chatbot of Capital one by discovering a new metric and establishing its effectiveness to the business.
- Developed a rule based fraud monitoring solution/dashboard for the chatbot to act as a risk guardrail for the team by looking at the spend/fraud ratio.
- Established a feedback loop with customers by scraping app stores reviews to identify topics/classes of customer reviews and connecting them to software devs/PMs to track subjective performance of new feature/version releases.
- Leadership:
- People Leadership – Been managing for more than 1 year now (along with IC responsibilities). Currently have 2 direct reports.
- Program Leadership – Example - Led the data governance (CCPA) efforts for the department by helping different team members reclassify their datasets and register them in the internal tool to be compliant with the new privacy law.
- Managed a rule based text analysis tool (Clarabridge) used by 20+ teams across Capital One – from contract negotiation to process (backend to end user interaction) to tech enhancements (implementation and adoption of APIs).
VMware
Deployments Engineer
Cloud deployment engineer - Engaging with customers (varies from IT Managers, System Engineers to Technology Leadership) of enterprise clients (startups, small-medium businesses,... more county/police departments, schools) for requirements gathering, technical and business use-case Analysis, deployment and configuration of AirWatch Product enabling MDM - Mobile Device Management for their organization.
Side/Additional Projects:
- Built a prototype using Python, that parses through logs of AW product and recommends most likely solution.
Side/Additional Projects:
- Built a prototype using Python, that parses through logs of AW product and recommends most likely solution.
Samsung SDS America
UX Research Intern
Robert Bosch
Software Engineer
- Built prototypes of a low-cost Electronic Control Unit using C and 8 bit, 16 bit microcontroller to establish low-cost innovation and a first-time attempt to build a product... more for less than 10$.
- Trained 3 fresh recruits on internal tools, processes and methods aiding their quick ramp-up.
- Trained 3 fresh recruits on internal tools, processes and methods aiding their quick ramp-up.
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