SANCHANA HASSAN RAMANATHA

● Independently handled end-to-end execution of Quantitative projects from gathering business requirements, collaborating with stakeholders to design the scope of the project, data collection, analysis and reporting actionable insights.

● Utilized customer experience and NPS data to provide recommendations, contributing to business cases for new products and services. Increased customer satisfaction by 15% through spearheading customer experience research projects.

● Provided ad-hoc analysis and insights to support strategic decision-making.

● Collaborated with cross-functional teams to identify data requirements, ensuring data integrity and accuracy.

● Developed and maintained dashboards and reports for a multinational retail chain, monitoring KPIs and tracking progress towards business goals.

● Conducted comprehensive analysis of customer purchasing patterns, including segmentation and clustering, to identify trends and preferences.

Relevant Projects

Pre and post campaign evaluation

• Conducted consumer persona research and brand health tracking for target market in pre-evaluation stage
• Evaluated campaign effectiveness using metrics such as impressions, engagement, and conversions in post-campaign evaluation

A/B testing- American fast food chain entering Indian market

• Conducted A/B testing for ad copies to measure performance
• The analysis of the response from the target audience helped understand which ad copy performed better for sales conversions.

• Analyzed large volume of data to identify patterns, trends and correlations.
• Prepared detailed reports summarizing research findings and recommendations for further action.

• Managing the inventory of magazines every month of various brands of,
• Optimizing the distribution list to thereby increase the efficiency by demand forecasting based on various factors like Seasonality and trends
• Conducting statistical analysis and provided business interpretation for marketing initiatives and promotions
• Automated day-to-day processes using macros and VBA that saved 15 man-hours per week thereby minimizing errors and redundancies to improve efficiency