Badri Narayanan

Lead analytics consulting engagements for clients in retail and healthcare sector. Involved in design and execution of advanced analytics solutions for revenue generation / expense minimization through data driven analytics and modeling. Worked on different areas of customer life cycle including acquisitions, Customer Life Time Value, X-Sell & Up-Sell, RFM segments, retention etc. Worked on analytics solutions to understand consumer behavior and preferences. Developed CX analytics solution using transactional, observational and customer satisfaction data to solve customer experience issues. Managed new business at on-boarding stages and worked towards developing the relationship into long term strategic partnerships / retainer engagements.

Facilitated client business partners in identifying actionable and profitable marketing opportunities through CRM analysis. Developed analytics solutions that are relevant for client business needs, by leveraging latest big data technologies and tools like SQL, Hive, Oracle, Python, Teradata on a distributed / parallel computing environment. Created best in class data visualization solutions (leveraging Tableau, Power BI) by owning the design, development, maintenance of dashboards to report business KPI’s and customer insights.

Work with client team to understand business requirements, define data requirements, conceptualize analysis framework and facilitate translation of analytics based findings into business actions Analyze relevant KPI to continuously monitor marketing campaign performance and identify opportunities to drive incremental revenue Create visualization and reporting solutions - from data to actionable insights. Analyze data using big data tools (Teradata , Hive), distill information into key takeaways, formulate actionable recommendations (visual reports in Tableau / PPT) and present insights. Provide guidance to business partners on the effective use of analytical methodologies, related to statistics, modeling, and business planning and forecasting. Provide technical and methodological leadership to the team.

Provide analytics based insights to help understand consumer perceptions / behavioral patterns Extract actionable business insights from multiple data sources - business performance data, consumer perception data, demographic data, marketing campaign performance data, media spend data and pricing data. Perform exploratory data analytics, CRM analytics and statistical modeling (segmentation, correlation, regression analysis, cluster analysis, factor analysis, path analysis, discriminant analysis etc.)

Researching and analyzing quantitative and qualitative data to evaluate and tap new market opportunities in the renewable energy sector. Performing customized research and analysis on products/services across the verticals of renewable energy with respect to best practices, opportunities, niche markets, emerging trends, and key operational bottlenecks. Engaging in market analysis, forecasting and authoring reports. Developing whitepapers, market insights and issue based deliverables in the renewable energy industry