Experience
I apply data analysis and research to understand consumer behavior and support marketing decisions.
My experience spans consulting, academic research, and marketing analytics, where I work with both structured and unstructured data to generate actionable insights.
I focus on translating complex analysis into clear recommendations that can be used in real-world business contexts.
Marketing Consulting Fellow
"Developed data-driven marketing strategies through market research and competitive analysis for a real client project"
Overview
Worked as part of a consulting team to develop marketing strategies for a client in the retail space
Problem
The client needed structured insights on market positioning and strategic opportunities to support growth
Approach
• Conducted market and competitive analysis across multiple industry sources
• Synthesized findings into actionable insights for strategic decision-making
• Collaborated with team members to develop data-driven recommendations
Impact
Provided structured recommendations to support client strategy, bridging data analysis with real-world business decisions
Marketing Research Analyst
"Designed and conducted a scenario-based survey to examine consumer behavior, and analyzed the data using SPSS"
Overview
Conducted research on consumer behavior and service robots to understand how different factors influence perception and decision-making
Problem
Understanding consumer response to emerging technologies requires synthesizing insights from diverse academic and industry sources
Approach
• Analyzed 100+ academic and industry sources using Excel
• Identified key trends in consumer perception and behavior
• Conducted survey-based research and analyzed responses
Impact
Generated structured insights on consumer behavior, supporting research-driven marketing implications and strategic discussions.
Research Paper based on this experience is currently under review. Specific information can not be provided.
Research Data Analyst
"Analyzed market reactions to viral marketing campaigns across 30+ firms using time-series data"
Overview
Analyzed how viral marketing campaigns influence short-term market performance across publicly traded firms
Problem
It is difficult to quantify the impact of marketing events on financial performance due to noisy and time-dependent data
Approach
• Analyzed data across 30+ firms using Python
• Conducted time-series analysis to evaluate market response
• Improved data processing efficiency by 40%
Impact
Provided insights into how marketing events influence market performance, supporting data-driven evaluation of campaign effectiveness
Adobe Student Ambassador
"Created and evaluated digital content to increase student engagement and brand awareness on campus"
Overview
Promoted Adobe products through student-focused digital content and engagement initiatives
Problem
Understanding how to effectively communicate value and engage student audiences across channels
Approach
• Created and distributed digital marketing content
• Analyzed engagement patterns and user feedback
• Collaborated with ambassadors to align messaging
Impact
Improved understanding of content effectiveness and student engagement, contributing to more targeted communication strategies
SMSA Ambassador
"Marketing committee member of SMSA Ambassador in University of Maryland, Robert H.Smith School of Business"
Overview
Supported marketing efforts for student initiatives through LinkedIn social media content creation
Approach
• Provided recommendations to improve communication effectiveness
Impact
Contributed to improved engagement and clearer messaging across student channels
