Kumar Rajendran Email & Phone Number

Bengaluru South, Karnataka, India

United States

Bengaluru, Karnataka, India

Digital Transformation, Software Engineering, Data Analytics and AI, Data privacy, Data Management and Governance @ Scale @ TVS Group

Bengaluru, Karnataka

Democratising AI @ Scale @ TVS Group

Bengaluru Area, India

Led the Company’s foray into Non Smart metered solutions using AI to Energy Utilities across NA, EU and APAC. Successfully led the adoption of Bidgely’s AI platform by Japan’s biggest utility which serves about 20M homes. Delivered the largest increases in disaggregation accuracy of HVAC, Ref and Water Heater appliances by ~15%. Re-architected the AI Product platform from MATLAB to Python yielding to a 11x increase in throughput and response times.Expanded the AI Product suite for detecting and estimating Timed Water Heaters and Variable speed pool pumps. First to Patent Electric Vehicle detection and energy estimation using cutting edge ML/AI achieving 90% accuracy. Built products leveraging second order analytics around appliance unit size, time of usage and degradation to tap key markets. Developed solar energy production models using net metered data reducing capex costs by leading Utility companies globally Engineered Gas vs. Electric tagging for Similar Home Clusters (SHC) which helped sharper targeting of recommendations. Delivered 82.1GWh in Energy Savings in 2018 @ $2.5/kWh using AI, that was 44% more cost effective that the competition. Developed Product Analytics around e-mail/paper engagement, open rates with regards to energy savings for DSM programs. Enabled the Product Managers to better handle customer experience by handling quality issues around disaggregation.

Bengaluru Area, India

Conceptualized and implemented the 3-year Analytics CoE roadmap, building the 25-member team in 16 months. Institutionalized a Machine Learning based Pricing tool leading to a 2.4% price increase and ~USD 40M bottom line accrual. Implemented a NLP based AI classifier of legal invoices needing SME scrutiny, leading to a USD 1M legal spend savings Enhanced the GBM based attrition model to flag zero-growth and at-risk customers leading to 50% increase in sales’ action. Built a collaborative-filter recommender system for cross/up selling IM products, contributing 200K to attributable sales. Piloted an attribution model for customer Net Promoter Score for key ROI levers, leading to a 20% increase in NPS score Delivered custom built text-matching tools, having match rates ~80%, increasing customer master data accuracy to 90% . Achieved an average stakeholder feedback of 4.3/5.0 for 3 years, with a charge-back and utilization rates in excess of 85%

Bangalore

Predictive Analytics, Forecasting and Share Insights | Customer Intelligence | Chief Strategy OfficeLed the Market Sizing and Share team for the Global undivided HP enterprise, consisting of econometricians, statisticians and data scientists. Modeled and built time-series and econometric models to predict category market sizes with a post-facto accuracy of 99% . Leveraged machine learning models to predict counterfeit cartridges and thereby recovering USD 2M worth of lost sales.Adapted a choice model from HP Labs to price the HP-tab launch in Malaysia leading to a 4% increase in market share. Built a Hadoop cluster to analyze incoming connected printer data leading to a 30% reduction in replenishment rates. Evangelized the use of Qlikview based market-share analytic dashboard and achieved a company-wide ~90% adoption rate . Modeled the market size of converged systems and the work-load assumptions leading to repositioning of the Moonshot line

Gurgaon

Founded the Analytics business and led it to a strategic SBU of USD 9M revenue vertical in 4 years from ideation to dollars . Built Marketing Mix models and customer segmentation models in R for a leading retail chain causing a 12% revenue lift. Developed a predictive attrition model for a leading global company helping it to reduce customer churn by 6% y-o-y Delivered GBP 2M of procurement cost savings by implementing a network optimization model for nicotine procurement .Provided marketing analytics for a fast-food chain saving 6% of its budgeted costs and leading to a 9% sales uplift.Authored the ‘Big Data’ report for NASSCOM and presented key insights to Industry leaders and Analytics practitioner

Gurgaon, India

Led teams of analysts to deliver projects across global companies and diverse domains delivering a wide variety of strategic business intelligence/Research and Analytics projects including: Supply Chain optimisation, Customer intelligence, Market sizing and forecasting and Quantitative Modeling.Worked with niche technology clients in the online marketplaces and exchanges space and helped device market/geographical expansion through consultative analytics

Chennai

Led the group’s foray into new service lines and led the incubation stages of these businesses. Set up and led the Corporate Research and Analytics vertical. Delivered key projects across a multitude of clients across domains.Led a multi-functional team to help the procurement division of a global tobacco major formulate a global sourcing strategy to enable the procurement team choose the best low-cost sourcing country in terms of duty rates by building an analytical tool.Providing analytics around the company’s key product ingredient, Nicotine, including the supply chain analysis of Pharmaceutical-grade Nicotine, Global trade analytics, Trade trends and key suppliers list

Bangalore, London

Pioneered the Global delivery model by leading a 15-member team across 3 locations to deliver the DB-client application . Designed a strategic bank integration solution for customer data of Ulster/RBS which help reduced GBP 550K in IT costs

Bangalore Urban, Karnataka, India

Reduced 7% of staff costs by building an intelligent Time, Attendance and Staff solution for the Sainsbury’s retail chain . Implemented the warehouse management tool across 6 large depots within 6 months of taking over the roll-out program . Managed 3 large projects for Deutsche Bank with the highest customer satisfaction score of 4.7/5.0 across the account.

Bengaluru Area, India

Used Artificial Neural Networks with feedback to predict the annual rainfall in India. This work was done at CMMACS ( Center for Mathematical Modeling and computer simulation)

Mba, Analytical Finance , Strategy And Leadership

Activities and Societies: Capital Markets Conference,Finance Club , Placement CommitteeMerit Scholarship recepient

Bachelor Of Engineering - Be, Computer Science And Engineering, First Class With Distinction

Activities and Societies: Final year project - A Neural network modeling of dynamical processes, National Aerospace Laboratories.

Chartered Financial Analyst, Financial Analysis, Quantitative Modeling

Activities and Societies: Statistics, Economics, EthicsQuantitative Methods, Alternative Investments, Corporate Finance, Derivatives.

Pre-University, Physics, Chemistry, Maths And Biology

Icse