• Currently leading a 5-member team to provide complete end-to-end campaign management for a UK based retail client• Experienced in handling retailer and supplier campaign engagements from stages of customer identification by leveraging various ML algorithms to measurement• Spearheaded launch of new multi-media proposition by using ML techniques to effectively launch 100+ new campaigns• Developed markov chain attribution model for generating channel contribution in multi-media campaigns • Generating quarterly benchmarking reports to discuss campaign performance and scope in additional requirements with stakeholders• Engaged in conceptualizing and building a ML based solution to identify declining customers and subsequently promote customer retention and engagement• Effectively trained and mentored multiple team members by proactively organizing knowledge sharing sessions

• Leveraged data science, sampling & ML techniques for creating new promotional campaigns & evaluation of existing promotional campaigns for effectiveness & sales uplift measures.• Worked on targeting process through different media channel for enhancing brand loyalty , customer engagement & increase in customer retention.• Delivered multiple instore campaign evaluation reports with key KPIs to gauge campaign performance• Delivered shopper profiles that assist campaign planning team to assess the customer behavior during COVID pandemic leading to over • Built customer loyalty segmentation using RFM methodology to segment customers based on buying pattern/traits• Engaged in selecting right set of audience base for targeting through web-based platform for retailer using Google Ad Manager and Facebook and subsequently track and generate campaign performance reports

 Churn Analysis | Banking• Currently working on a proof-of-concept for addressing customer retention for a financial services client• Building statistical model using logistics regression & decision trees to predict the customer churn rate Sales Forecasting | Retail• Developed a sales forecasting model using statistical forecasting techniques for a retail client• Engaged in analysing the time series data provided for the retail segment • Created a test harness for validating the developed model Data Quality Analysis| Telecom• Provided a view of the current data quality landscape• Analysed data quality incident reports of the incident management systems to segment data quality issues• Conceptualized and implemented visualization dashboards highlighting the major issues to be prioritized for resolving data quality issues Analytics Consulting| Trade Finance• Engaged in creation of data models needed to setup database systems for global trade finance• Provided business inputs and trade finance business perspective to the data modellers Data Governance & Quality Mgmt. |Telecom• Determined the maturity levels of data governance and quality within the organisation• Conceptualized data governance organisation along with the key roles and responsibilities• Designed a data quality framework to kick-start a robust data quality management

• Initiated vendor acquisition process for launching an E-Commerce business• Conceptualized key performance indicators

• Performed a market basket analysis for a retail client• Developed a new quote-to-order cycle for a Hi-Tech client in SAP Solution Sales Configuration• Resolved issues related to mismatch of invoice and revenue in Oracle 11i as part of a project accounting system for a Hi-Tech client.