Kartikeya Sharma
Co-founder & Chief - Strategy at SunSure- Claim this Profile
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English -
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Bio
Credentials
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Decision Scientist
Mu Sigma Inc.Mar, 2016- Nov, 2024
Experience
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Sunsure Energy
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India
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Renewable Energy Power Generation
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1 - 100 Employee
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Co-founder & Chief - Strategy
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Mar 2017 - Present
I'm in-charge of unlocking new markets for our C&I Energy Services Business. I lead the strategic vision and execution of on and off-premise solar power contracts with some of India's largest energy consumers across diverse industry segments including automotive, cement, steel, glass, and agro products. Seeking opportunities to team up with world leaders in PV Technology for the C&I segment to create relevant offerings for Indian industrial houses that enable 100% RE reliability:… Show more I'm in-charge of unlocking new markets for our C&I Energy Services Business. I lead the strategic vision and execution of on and off-premise solar power contracts with some of India's largest energy consumers across diverse industry segments including automotive, cement, steel, glass, and agro products. Seeking opportunities to team up with world leaders in PV Technology for the C&I segment to create relevant offerings for Indian industrial houses that enable 100% RE reliability: Currently focused on Energy Storage, Open Access and Rooftop Solar Leading data-readiness at Sunsure: Creating data-driven Asset Management practices to help mine digital trails of on-site activity and device data to enable greater intelligence. Our mission is to transcend from the current high amounts of on-site interventions to a scalable and automated remote-diagnosis paradigm.
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Head - Research & Analytics
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Mar 2016 - Apr 2017
Leading data readiness, operational analytics and technological research practices with a vision to reduce landed cost of rooftop solar O&M and stage a great customer experience. Primary areas of focus currently include: Fault Diagnosis and Identification in solar inverters through real time analytics Post-sale Customer Engagement through weekly reports on system performance and energy savings Operational Data Readiness for robust on-site operations and driving / tracking… Show more Leading data readiness, operational analytics and technological research practices with a vision to reduce landed cost of rooftop solar O&M and stage a great customer experience. Primary areas of focus currently include: Fault Diagnosis and Identification in solar inverters through real time analytics Post-sale Customer Engagement through weekly reports on system performance and energy savings Operational Data Readiness for robust on-site operations and driving / tracking compliance to operational processes Technological Research and Partnerships with leading institutes in India and USA for accelerating development of smart grid technology and battery storage
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Mu Sigma Inc.
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United States
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Business Consulting and Services
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700 & Above Employee
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Decision Scientist
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Nov 2013 - Mar 2016
Individual contributor and team lead for data science projects for F500 clients. Problem solving by engaging with business leaders to formulate analytics roadmaps, creating solutions, implementing and evangelizing in a global fulfilment model. Major projects completed: For Cloud Computing Division of World’s Largest Software Enterprise - Used logistic regression along with random forest models in R to create Customer Targeting and User Segmentation to aid sales, up-selling and… Show more Individual contributor and team lead for data science projects for F500 clients. Problem solving by engaging with business leaders to formulate analytics roadmaps, creating solutions, implementing and evangelizing in a global fulfilment model. Major projects completed: For Cloud Computing Division of World’s Largest Software Enterprise - Used logistic regression along with random forest models in R to create Customer Targeting and User Segmentation to aid sales, up-selling and cross-selling of cloud services to enterprise customers. Data used was enterprise level software product usage and licenses. Worked with the client to consolidate over 300 variables into aggregated datasets and find additional predictive variables to further enhance the accuracy of prediction. Final model projected benefits >$10 Million for every 1000 customers targeted. The model is currently being used to guide world wide sales efforts. Created state-space models (dynamic linear modeling) in R to predict Cloud Infrastructure Demand using customer level resource usage data. Helped the client improve and migrate the legacy model running on on-premise servers and publishing results in static reports. The model is now completely based on Microsoft Azure and automated using Azure Data Factory, Azure ML and PowerView. This hugely improved the accessibility of the forecast and communications between the forecasting team and the planning team - these teams are responsible for guiding infrastructure investments of >$3 Bn every year. ARIMA and ARIMAX Time-series analysis to forecast Revenue & Subscriptions for the platform using R. For USA’s Fastest Growing Fashion Retailer - Designed business intelligence tools for In-season, Pre-season and End of Season Merchandizing analysis and assessment processes. For Europe’s Second Largest Steel Producer - Created Excel based analytical tool using VBA for supply chain optimization and simulation for supporting weekly S&OP meetings. Show less Individual contributor and team lead for data science projects for F500 clients. Problem solving by engaging with business leaders to formulate analytics roadmaps, creating solutions, implementing and evangelizing in a global fulfilment model. Major projects completed: For Cloud Computing Division of World’s Largest Software Enterprise - Used logistic regression along with random forest models in R to create Customer Targeting and User Segmentation to aid sales, up-selling and… Show more Individual contributor and team lead for data science projects for F500 clients. Problem solving by engaging with business leaders to formulate analytics roadmaps, creating solutions, implementing and evangelizing in a global fulfilment model. Major projects completed: For Cloud Computing Division of World’s Largest Software Enterprise - Used logistic regression along with random forest models in R to create Customer Targeting and User Segmentation to aid sales, up-selling and cross-selling of cloud services to enterprise customers. Data used was enterprise level software product usage and licenses. Worked with the client to consolidate over 300 variables into aggregated datasets and find additional predictive variables to further enhance the accuracy of prediction. Final model projected benefits >$10 Million for every 1000 customers targeted. The model is currently being used to guide world wide sales efforts. Created state-space models (dynamic linear modeling) in R to predict Cloud Infrastructure Demand using customer level resource usage data. Helped the client improve and migrate the legacy model running on on-premise servers and publishing results in static reports. The model is now completely based on Microsoft Azure and automated using Azure Data Factory, Azure ML and PowerView. This hugely improved the accessibility of the forecast and communications between the forecasting team and the planning team - these teams are responsible for guiding infrastructure investments of >$3 Bn every year. ARIMA and ARIMAX Time-series analysis to forecast Revenue & Subscriptions for the platform using R. For USA’s Fastest Growing Fashion Retailer - Designed business intelligence tools for In-season, Pre-season and End of Season Merchandizing analysis and assessment processes. For Europe’s Second Largest Steel Producer - Created Excel based analytical tool using VBA for supply chain optimization and simulation for supporting weekly S&OP meetings. Show less
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Education
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Indian Institute of Technology (Banaras Hindu University), Varanasi
Bachelor of Technology (B.Tech.), Civil Engineering -
St. Peter's College
Indian School Certificate (ISC), Sciences, Grammar, Physical Education