Ramesh Babu Email & Phone Number

Bengaluru, Karnataka, India

Bengaluru Area, India

• Customer Engagement Analytics: Developed an Intelligent Growth Engine for delivering enhanced customer knowledge and in-depth market understanding to effectively empower our sales, marketing, support and other.
• Risk Analytics:Proactively identification of customers at risk and the risk value and identifying potential ways to improve customer experience backed by analysis of customer feedback with operational data (Sales and.
• Customer Experience Survey:An in-house automated solution to ease the manual process of contact selection for sending surveys. It allows sales reps to select customer contacts to be surveyed for every quarter based on.

Bengaluru Area, India

• SMEP and Market to Order Dashboards in SAP Analytical Cloud:Provided business logic in the calculation of KPI’s for the projects Sale Manager Excellence Program and M2O Excellence. And created the dashboards in SAP.
• Market Deep Diving: Analyzing Global sales data at granular level and providing insights on scope of improvement and areas to be focused.
• Distribution Management System: Automated the process of Distribution management System reporting for the global markets. It is resulted in the Significant reduction in manual effort required and time spent to obtain.
• Sales Force Visualizations:Created various dynamic and static dashboards in Sales force. These dashboards gives a quick overview of what is going on a market/sector/team.

Bangalore

• Data integration using TalendAutomated the process of sales and opportunities data integration in real-time from various sources like Sales Force, SAP, flat files and SQL Server data base using Talend.
• Multi-Channel Purchase behavior: Analysis of multichannel purchase (Direct, Indirect and online) behavior of customer.
• Funnel Anlytics: Worked on forecasting model implementing in in R for predicting the % of opportunities to be closed in the next 3 months given open funnel. Further analysis of above results at various level -Market.
• Segmentation: To understand the customer purchasing behavior, Cluster analysis was used to segment customers into different clusters to study their common behaviors using K-Means clustering

• Performing brokerage reconciliation between clearing broker(Newedge) and executing brokers(Manual and GPS, EGAINS platforms) for exchange traded derivatives
• Performing trade and position reconciliation between fund and prime broker for equity, bond, FX and F&O products
• Creating static data, instrument translation, data capture and recon rules for new brokers in TFIM and TLM
• Interpretation of new and amending existing Fee schedules for ETD and OTC instruments
• Performing testing on Fee schedules in OB environment and migrating them to production environment
• KYC checks while onboarding new legal entity/broker.