Ravikumar Krishnan Email and Phone Number
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As a Transformational Leader in Data-Driven Innovation, I leverage my 18+ years of domain & consulting experience to drive business growth through AI, Analytics, Data, and Digital Solutions. My proven track record of delivering advanced analytics and data strategy initiatives across companies is a testament to my past successes and a reassurance of my capabilities. With a rich history of holding key FTE roles at LexisNexis Risk Solutions, Office Depot, Infosys, Matrimony, and Symphony Services and working with clients such as Nordstrom, Target, Dollar General, GAP, J&J, P&G, Northwestern Mutual, UHC, Aetna, Boeing, 3M, GM, Travellers, BOA, etc., I've amassed a wealth of experience across diverse functions and businesses. My strength lies in Stakeholder Management and Problem Solving, where I harness data, domain, and analytics to drive business impact. I specialize in:1. OmniChannel Marketing Tech, Supply Chain Optimization and Sales/E-commerce Systems- CRM, SalesOps, Cx (Customer Service), and Contact Center Transformation- Digital, Advertising, POS, Merchandising, Pricing, and Promotion Strategy- ERP, SCM, OMS, TMS, WMS, Inventory, Replenishment, Forecasting, and Planning2. Domain-Driven Data Design- Data Strategy, Data Governance, MDM, Data Models, Architecture & Solution Design, Product Management3. Predictive and Feature Engineering using tools and frameworks with Python/SQL- MMM/MTA Models/Experimentation- Campaign Uplift Models- Product Analytics- Customer Propensity/CLTV- NLP/Sentiment/Text Analytics- GenAI/LLM- Time Series Analysis- Supply Chain Analytics- Price Promo ForecastingMy hands-on experience with supervised and unsupervised algorithms allows me to construct effective DS models and frameworks that deliver tangible value.Additionally, I lead Big Data, Digital, and BI Visualization solns, automating workflows, managing data pipelines/API’s, SOA, MLOps, AI Services, Agents and more in cloud technologies (AWS, GCP, Azure, Snowflake, DataBricks, etc.)As a dedicated leader, I've effectively guided leadership teams in navigating and executing technologies, enabling us to scale and meet market demand. -----FT Edu: MBA | M.E. in Manufacturing Engineering (CAD/CAM/AI/Robotics) | B.E. in Mechanical Engineering.My passion is not just designing data/Web, AI, IOT/edge apps but also using these tools to solve real-world challenges in marketing, sales, scm, & risk systems. I invite you to connect with me and explore opportunities to drive business growth together, inspired by the potential of AI/data-driven innovation.
Infosys
View- Website:
- infosys.com
- Employees:
- 352877
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InfosysUnited States
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Senior Business ArchitectIt & Ebusiness Consulting Services, Inc. Jun 2024 - PresentMelville, New York, Us -
Supply Chain ExpertDollar General Jun 2024 - PresentGoodlettsville, Tn, UsArchitecting Analytics/AI Solutions -
Sr Manager, Marketing Analytics And InsightsLexisnexis Risk Solutions Aug 2016 - May 2024Alpharetta, Ga, UsAs a seasoned marketing analytics leader, I have transitioned from an individual contributor to a team leader, driving value through technical expertise and strategic vision. I have led a team of data scientists, analysts, and data engineers to solve complex business problems, delivering data-driven insights and solutions for digital campaigns, sales, customer data science, and product use cases.Key accomplishments:As a senior manager, I am poised to leverage my expertise and experience to drive business success, solving business problems for growth and revenue generation.- Established a closed-loop data product framework, defining values for each stage of the b2b buyer journey, and ensuring seamless collaboration with stakeholders, marketing, sales operations, digital, and tech teams. My ability to work with diverse teams ensures a holistic approach to problem-solving,by implementing a comprehensive GTM measurement strategy to drive business growth.- Developed Markov chain attribution model (MTA),MMM, Lead forecasting models to identify high-performing marketing channels, content, identity and digital campaign tactics, enabling data-driven decisions and maximizing ROI.- Conducted in-depth Voice of the Customer research, analysis, campaign segmentation, and CLTV insights to enhance customer experience and retention metrics, informing media plans and optimization strategies for omnichannel marketing initiatives.- Collaborated with Rev Ops & CRM teams to create a multi-touch attribution system, focusing on revenue insights from lead generation to customer acquisition and retention. Identify profitable market segmentation, measure revenue growth and ROI by marketing-sourced, and influence pipeline and revenue KPIs.- Developing POC and implementing NLP/Generative AI models with a strong understanding of GPT and BERT techniques.Hands-on experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras to solve Cx use cases. -
Marketing Analytics Manager (Product Mgmt, Customer Data Platform)Lexisnexis Risk Solutions Aug 2016 - Apr 2021Alpharetta, Ga, UsMarketing Analytics Leader: Driving Business Growth through Data-Driven Insights, working with business stakeholders and enterprise technical teams - Architecting scalable analytics frameworks by developing self-service analytics solutions for campaign segmentation and cross-sell/upsell pipelines, enabling targeted marketing efforts and revenue growth.- Solved the business problem of fragmented marketing data by partnering with cross-functional teams to design and execute a modern B2B marketing intelligence, identity, CDP, and data analytics product suite, resulting in a unified customer or omnichannel view and enhanced campaign performance measurement.- Spearheaded data strategy and digital transformation initiatives, driving operational efficiency and growth through improved customer data management, governance, quality, and MarTech/AdTech/CRM stack processes. Set up and configured Adobe Analytics, event tracking, conversion tracking, audience management, and reporting.- Ensured successful predictive AI model solution deployment in Azure Data Lakehouse, Azure Data bricks, and API-integrated CRM systems.
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Manager, Merchandising Analytics And DatascienceOffice Depot Apr 2015 - Aug 2016Boca Raton, Florida, UsDriving Business Growth through Advanced Analytics and data science solving pricing, merchandizing offers and forecasting problems - Solved the business problem of optimizing margins on SKUs and units by leading and managing merchandising, product, and pricing analytics projects, resulting in data-driven insights for strategic pricing, supplychain, and marketing analytics.Identified risk and consumer growth segments across retail, e-commerce, digital products, and delivering value-added insights- Improved Supply chain management and inventory control metrics with SAP SCM implementation for process flow tied to replenishment and planning- Led e-commerce programs across product development, merchandising order replenishment, and operations, resulting in 5% reduction in out-of-stock inventory from DC to stores- Successfully managed the Merchandising Optimization program, driving the development and implementation of advanced campaign uplift models, machine learning algorithms, and predictive analytics to extract meaningful insights for coupon BOGO offers.- Worked closely with Supply chain team on Demand forecasting and analysing inventory KPI’s for demand planning needs. Tackled complex analytics and data science problems, including:- Promotion effectiveness (forecasting analytics aimed at improving margin by 3%)- Market basket (affinity analysis)- Pricing (hedonic regression)- Classification price-promo models (determining promotional lift, financial KPIs, and metrics)- Ensured the successful operation of predictive AI models through MLops, managing data ingestion, preprocessing, model training, deployment, serving, monitoring, and updates to maintain accuracy and adapt to changes in forecasting. -
Sr. Lead, Data Science And Analytics (Supply Chain, Marketing Domain)Infosys Aug 2010 - Apr 2015Bangalore, Karnataka, InClient : Nordstrom, SeattleProject Lead for the Seattle-based apparel retailer's Distributed Order Fulfillment (DOM) Analytics project, which aimed to improve order fill rate from 90% to 95% along with other critical supply chain risk KPIs to unblock bottlenecks.• Developed affinity models and analyses that allow fashion retailers to cluster customers based on common attributes and tailor customer journeys, likely improving their experiences and boosting sales.• Developing Data Science and Machine Learning proofs-of-concept and solutions for Seattle-based retailers on business use cases, including e-commerce personalization, Product recommendation, identity and fraud analytics, etc.Client: Target, Minneapolis and Boeing, Seattle• Researched user behavior and led strategic product roadmap discussion across multi-functional teams for retailer omnichannel ERP strategy.• Delivering a supply chain analytics solution to the second-largest US retailer for Logistics/freight/fleet management risks (on top of SAP HANA) by reducing inventory delivery time from DC to the warehouse by 5%.The above supply chain effort won the Best Insights category award at the 2014 Tableau contest held at the Minneapolis headquarters.Client: North Western Mutual Healthcare, Milwaukee• For Milwaukee-based global insurance business, solving predictive analytics use cases to identify insurance customers at risk of leaving and finding ways to retain them. To detect customers who, based on how they use a service, are more likely to cancel their subscription, reduced churn by 3%• Worked on Sales analytics use cases (Marketing/Sales activities, Tasks, etc.) for Sales and Marketing performance measurement. Tying unstructured data (Text Analytics, NLP) to enterprise data and third-party data (Experian, Axiom) to identify data patterns increased lift by 3%.• Healthcare businesses aim to implement an ERP system to streamline their operations,improve efficiency, & enhance patient care.
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Lead Analyst, Data Science And AnalyticsInfosys Aug 2010 - Jul 2013Bangalore, Karnataka, In• Delivering inventory forecasting solution for San Francisco HQ retailer on Supplychain forecasting and Allocation strategy-Identifying stores across the US that are Over/Under inventoried in the run-up to a season and adjusting the allocation of Style-Colors in scope for the season to minimize the out-of-stock situation.• Ran inventory allocation models for retailers across multiple fashion categories, analyzing seasonality and demand trends to provide insights and automating allocation solutions in partnership with the Allocation/Inventory team.• Delivered Proof of Concept on Apache Kafka's streaming capabilities, coupled with Kafka Streams for real-time stream processing, provide a platform for integrating machine learning models into the inventory pipeline.
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Senior Analyst, Customer Insights And StrategyInfosys Aug 2010 - Jul 2013Bangalore, Karnataka, InPart of the Strategic Insights and Analytics team in designing and developing value-added offerings like :• CRM/Digital Attribution/Campaign analytics solutions for Retail/Bank/Insurance Fortune 500 clients.• Member Switch over-response(scoring) models for Health Insurance (Provider) and Banking clients.• Anomaly and Fraud Detection.• Data mining/Shopper insights POCs for retailers.• Developing CHAID & media mix models, etc.• Analytics module enhancement for Infosys Financial Product.
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ConsultantNorthwestern Mutual Dec 2014 - Mar 2015Milwaukee, Wi, Us -
Analytics Consultant - Supply Chain And LogisticsTarget Jul 2014 - Dec 2014Minneapolis, Mn, Us -
Analytics Consultant - Supply Chain And Order FulfillmentNordstrom Jul 2013 - Jun 2014Seattle, Washington, Us -
Associate, Projects (Planning Coe)Cognizant 2010 - 2010Teaneck, New Jersey, UsAs part of the Enterprise Planning and performance management COE, I executed proof of concepts, Analyzed master data, ran Montecarlo simulations and Scenario Planning. • Performed Budget/Forecast Variance analysis for Healthcare/Manufacturer client's Supply chain and financial planning ERP use cases.• For other Healthcare and Pharma clients, My role involved System Analysis, identifying and analyzing revenue cycle management KPIs, defining balance scorecard metrics, financial forecasting, integrated planning (Anaplan), reporting (Cognos TM1), and analysis(Oracle Crystal Ball), etc.; -
Manager, Business Analytics (Strategy And Market Planning)Matrimony.Com Limited 2009 - 2010Chennai, Tamilnadu, In• As part of Strategic analytics team, My role involved providing data-driven recommendations and insights for business problems related to customer behavior, Segmentation, Pricing, etc; • Other analysis performed are optimizing digital channels campaign budget, audience uplift solution, measuring customer lifecycle KPIs, payment fraud analysis, etc.; for the e-commerce business.• Developed predictive frameworks and solutions to Identifying new addressable target market segments (TAM) for GTM Strategy execution and Sales planning. One of the key findings is the potential to expand into a new business line within the community matrimony segments by boosting new customer acquisition by 7%. -
Assoc.Consultant, Advanced Analytics (Media Mix Modelling)Symphony Marketing Solutions 2007 - 2009Southport, Conneticut, UsAfter being hired through MBA Campus recruitment, I joined the Symphony, IRI/IFX Advanced Analytics (Market Mix Modelling) team.(IFX Is a New York-based analytics & Market-structure consulting firm, which Symphony acquired, In Feb 2010, Symphony marketing solutions, Inc., and later acquired by Genpact, Ltd.). Now the Symphony group is renamed as SymphonyAI.• Delivered end-to-end Media mix modeling (Econometric Modelling) projects measuring marketing channel effectiveness & return on marketing investment (MROI). Deliver Topline insights presentation for major CPG brands across US retail markets/Clusters for promotion budget and planning decisions.• Ability to develop SAS predictive models and deliver insights for CPG/Retail/Pharma clients, including marketing budget calendar analysis, TV/Print GRP/TRP data analysis, measuring media effectiveness and ROI measurement.• Received IRI induction training in applying econometric and Bayesian models in marketing science & quantitative market research frameworks.• Developed Time Series forecasting models, Price Promo elasticity models, Mix Models, Market response, and Structure models for US CPG brands across Retail & Pharma domains. -
Mba Summer InternDexterity Business Analysts (Private) Limited Apr 2006 - Jun 2006• As part of the organization's new market segment and positioning activities, my internship involved market research and feasibility analysis, brainstorming sessions with executives, and CXOs to develop business plans and growth frameworks.1.) Creating professional services (Global Analytics market) roadmap to target global Fortune 500 enterprises.2.) A Business plan to launch direct mail business solutions in southern India for enterprise markets. -
Academician And ResearcherAnna University 2002 - 2005• Presented research papers in national and international publications on areas like ergonomics/biomechanics and optimization engineering with applications in robotics, industrial automation, Simulations and failure probability. (More details can be found in the publication section below.)• Research and Academics experience in Product Design and Manufacturing.> Product design: Working with ANSYS, Pro/E, MATLAB and other FEA simulation tools, analyzing physical parameters used in the engineering design process.> Product Manufacturing: Designing applications for Industrial IoT, Robotics, and other m2m/Mechatronics systems used in manufacturing operations.• In my three-year academic and research career as a Senior lecturer, I feel proud that I inspired and ignited the imagination and creativity of young engineering talent, influencing them for Automation and innovation.I taught at Panimalar Engineering College in Chennai, and Thirumalai Engineering College in Kancheepuram, affiliated with Anna University, Chennai.
Ravikumar Krishnan Skills
Ravikumar Krishnan Education Details
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Bharathidasan Institute Of Management TiruchirapalliGeneral -
Anna University ChennaiManufacturing Engineering
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University Of MadrasMechanical Engineering
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Institute Of Communication Management BangaloreDiploma In Advertising Management
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Family Small Business (Retail) ChennaiEntrepreneurial And Small Business Operations (Week End Learning)
Frequently Asked Questions about Ravikumar Krishnan
What company does Ravikumar Krishnan work for?
Ravikumar Krishnan works for Infosys
What is Ravikumar Krishnan's role at the current company?
Ravikumar Krishnan's current role is Advanced Data Analytics, Data Science & AI Leader | Customer, Marketing & Supply chain Domains | ERP, CRM, Cloud, MLOps, Agents|.
What is Ravikumar Krishnan's email address?
Ravikumar Krishnan's email address is ra****@****isk.com
What is Ravikumar Krishnan's direct phone number?
Ravikumar Krishnan's direct phone number is +121230*****
What schools did Ravikumar Krishnan attend?
Ravikumar Krishnan attended Bharathidasan Institute Of Management Tiruchirapalli, Anna University Chennai, University Of Madras, Institute Of Communication Management Bangalore, Family Small Business (Retail) Chennai.
What skills is Ravikumar Krishnan known for?
Ravikumar Krishnan has skills like Analytics, Business Intelligence, Business Analysis, Crm, Business Analytics, Strategy, Predictive Modeling, Management Consulting, Market Research, Marketing, Segmentation, Requirements Gathering.
Who are Ravikumar Krishnan's colleagues?
Ravikumar Krishnan's colleagues are Poornima S, Aravind Kumar, Amal Rag Vk, Vidhya Vasudevan, Vyshnavi Nagavelly, Shailendra Sadh, Mosouwer Jamil.
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