SRIKANTA PRASAD V

• I served on the Oracle Cloud and AI division's Data Science and AI/Cognitive Platform Services team, utilizing AI and machine learning techniques to address large-scale challenges.
• Coordinated project planning and execution with team members and team leads.
• Outlined the product direction, converted user needs into AI/ML product specifications, tracked market products, and performed competitive assessments.
• Formulated pricing and market entry strategies, overseeing the ROI, marketing, and vision for Oracle's data science services. This included the model catalog, feature store, and responsible AI practices such as bias and fairness detection in AI algorithms.
• Established the product direction for Oracle Cloud Infrastructure's Feature Store, Model Store, and Environment Store.
• Managed the product specification documents for the Model Catalog, Feature Store, and Experiment and Evaluation Report offerings.
• Partnered with both internal and external stakeholders to gather requirements, focusing on healthcare and AI/data science applications.
• Presented product demonstrations and crafted market entry plans, leading to products generating over $100 million in revenue for Oracle.
• Coordinated with engineering departments to prioritize both functional and non-functional needs, as well as enhancements for the model catalog and feature store, with an emphasis on implementing responsible AI practices."

I was a part of the initial green field initiative to set up a full-stack data analytics center of competence in Bangalore, India. Managed a team of 17+ data scientists for developing and deploying agile, reusable, and scalable data science solutions that address critical business problems in the supply chain, manufacturing, and aviation domains.

• Delivered products with savings of about USD 340 million in terms of cost savings and product delivery roadmap.
• Developed and created product personas, Data Science products, ramp-up plans, and a product and Program roadmap for the Data Science activities at Boeing India
• Responsible for Developing the data Science strategy and roadmap for the Analytics Division at Boeing India
• I worked with external and internal stakeholders to identify technology gaps in Boeing’s products, bring in new ideas and innovation, and help drive adoption of technologies using more recent technologies such as deep learning
• Participated in yearly financial planning and budgeting decisions of the division or group
• Hired, ramped up employees, and managing high-performance Global Teams and products in a fast-paced environment, working closely with businesses and stakeholders.
• Managed and prioritized resources for internal projects and was a key member of workforce planning and decision-making for 17+ data scientist resources in India, collaborating closely with top management in the US and internal business stakeholders.

• Hired the Analytics Team to the current outfit that is capable of delivering Business Analytics projects
• Coordinated with the IT and data owners (both internal and external to Infineon Technologies) to engender robust data ecosystem
• Initiated the engagement with business units to generate demand for analytics, analysed business problems and conceptualize tailored analytics solutions
• Created and designed complete database solution for storing Market Intelligence data files along with the data from multiple source systems

Projects

• Competitor Intelligence using Text Analytics - As a Senior Data Scientist I was responsible for developing a competitor intelligence system to analyze the sentiments emerging from different projects which Infineon's Marketing Division for IOT and Sensor based Projects.
• Infineon's Revenue prediction for CFO Office - Developed a data driven prediction model to predict the revenue for Infineon Technologies for the upcoming quarters and months. The revenue calculation consisted of revenue generated from new orders, inventory snapshots, capacity information, currency exchange rates and many other factors. Some of the methods used include ARIMA, winters additive time series models…etc
• Predictive Forecasting Models - As a Senior Data Scientist, I developed Macro and Micro Economic Predictive forecasting models for Internal Business different divisions spanned within the APAC Region and as well as for HQ based projects within Infineon. The scope of the predictions involved economic indicators, which are related to Macro Economics and Micro Economics indicators for different geographies and markets.

• Media Strategy and Analytics Division
• Key Result Areas:
• Developed analytics infrastructure set-up for Media Strategy Group
• Initiated the idea of designing and developing an analytics data warehouse for Singapore Press Holdings for holding subscription and customers’ information
• Set up social media analytics tools such as Ubervu (Social Listening) and Hootsuite; developed visualization in Tableau with the results obtained from Hootsuite and Ubervu
• Created roles relevant for viewing, editing, full extent licenses related to Tableau desktop and web within SPH for different dashboards and score carding projects
• Configured tableau desktop and server across SPH Media Strategy and IT Groups; developed release environments (Development, CONS and Production Deployment paths) for releasing different dashboards
• Developed:
• Behavioural and demographic aspects of Customer Analytics for the popular product families under Singapore Press Holdings umbrella
• Churns models to predict churn and helped in developing strategies to retain customer, Analytics Architecture and Infrastructure setup: Developed analytics infrastructure setup for Media Strategy Group
• Some of the work includes:
• Analytics Datawarehouse: Designed and developed from scratch an analytics data warehouse for Singapore Press Holdings for holding Subscription and customers’ information
• Tableau Desktop and Server setup: Was responsible in architecting and creating roles relevant for viewing, editing, full extent licenses related to Tableau desktop and web within SPH for different dashboards and scorecarding projects
• Configured tableau desktop and server across SPH Media Strategy and IT Groups
• Developed release environments (Development, CONS and Production deployment paths) for releasing different dashboards
• Customer Analytics - Behavioral Segmentation of Customers: Developed behavioral and demographic aspects of Customer analytics for the popular product families under Singapore press holdings umbrella
• These models helped some of the publications to develop marketing strategy in the areas of customer Acquisition
• Customer Analytics - Customer Churn: Developed different churns models to predict churn and helped in developing strategies to retain customers
• Familiarity with K-Means, CHAID, Gradient Boosting Methods (GBM) methods of machine learning
• Corporate Dashboard for KPI Reporting: In this project I was responsible for developing the extracted KPI’s using Google analytics and AT Internet, we used tableau to prepare corporate dashboard, and the consumers were the CXO level people
• GIS Mapping: Developed a database to map postal codes of different customers
• For this purposes we did a reverse geocoding using python and QGIS database
• Tools, which were used, are pyQGIS and googlemaps.

• Successfully deployed the Samples Analytics Program worldwide within one year, exceeding customer expectations and enabling 200 users to utilize TCM.
• Developed complete order-to-cash metrics for Customer responsiveness Metrics in accordance with the SCOR Framework across different geographies, resulting in the company achieving a best-in-class perfect order score. This effort helped to increase Gartner Research's supply chain rankings from 25th position to 7th position for the year 2012.
• Led and managed $100M cross-geography Order-to-Revenue projects with a diverse team of data analysts and data engineers who analyzed and visualized critical aspects of Intel's business using statistical models
• Perfect Order Metric: Led and Managed $100M cross-geo-based order-to-revenue projects with a diverse team of data analysts and data engineers who analyzed and visualized critical aspects of Intel’s business using statistical models such as Linear regression, Logistics Regression, spatial visualization and spatial analytics, dashboards, and innovative visualization software for a group called Customer Fulfillment Planning and Logistics group.
• Developed Supply Chain Metrics (Perfect Order Metrics) from a order to cash perspective Accomplishments
• Helped the company achieve best-in-class perfect order score, which helped increase Gartner Research supply chain rankings from 25th position to 7th Position for the year 2012.
• Met project deadlines without sacrificing build quality or workplace safety.

• Was responsible for Conducting case / system / process study for project planning, scoping, estimation, tracking and implementing the project plans within deadlines
• Interacting with clients for requirement gathering, system study & analysis
• Understanding the technical & functional specifications and coordinating client’s needs or enhancements, customization of product accordingly
• Looking after the design, development, testing, troubleshooting & debugging of applications
• Leading, mentoring, training & monitoring the performance of team members to ensure efficiency in process operations and meeting the business goals.
• Produced monthly reports using advanced Excel spreadsheet functions.